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ORCID23rd ISBI 2026: London, United Kingdom
- 23rd IEEE International Symposium on Biomedical Imaging, ISBI 2026, London, United Kingdom, April 8-11, 2026. IEEE 2026, ISBN 979-8-3315-7763-6
- Yibin Wang, Abhro Shome Pias, Amirhossein Eskorouchi, William Neil Duggar, Lir-Wan Fan, Haifeng Wang:
DA-GMGENet: A Domain Adaptation Framework for 3D CT-Based ECE Identification in Head and Neck Cancer. 1-4 - Elena Mulero Ayllon, Linlin Shen, Pierangelo Veltri, Fabrizia Gelardi, Arturo Chiti, Paolo Soda, Matteo Tortora:
Context-Gated Cross-Modal Perception with Visual MAMBA for PET-CT Lung Tumor Segmentation. 1-4 - Emil Kim
, Jin Kyu Gahm:
CGM-EEG: Cross-Gated Mamba for Spatio-Temporal Eeg Representation Learning. 1-4 - Jae Wan Park, Suhyun Kim, Geunrip Park, Seong Jae Hwang:
Towards ROI-Free Modality Translation for MRI with Test-Time Augmentation. 1-5 - Yujie Sun, Zexuan Fan, Haoyu Wu, Xiaowu Sun:
Shared-Weight Segmentation with Mask-Conditioned Risk Classification for Carotid Ultrasound. 1-4 - Zhenxuan Zhang, Hongjie Wu, Tao Wang, Jiahao Huang, Baihong Xie, Zhifan Gao, Peter J. Lally, Guang Yang:
Task-Oriented Uncertainty Collaborative Learning for Label-Efficient Brain Tumor Segmentation. 1-4 - Yi Luo, Jianan Cui, Huiyuan Zhang, Yang Yang, Heran Shalihaer, Yuanjing Feng, Xinhui Su, Huafeng Liu, Xiang Li:
Unified PET Image Enhancement for Diverse Degradation Levels with Mixture-Of-Experts and Dynamic Prompts. 1-4 - Dibyasree Lahkar, Sandeep Singh Sengar, Jac Fredo Agastinose Ronickom:
Autism Spectrum Disorder Detection Using Multidomain Features of RS-FMRI Bold Time Series and Machine Learning. 1-4 - Zhenyu Yang, Jiakun Xu, Sijin Yu, Ying Ouyang, Xin Zhang:
MRI-Based Multi-Scale Multi-Modal Neonatal Brain Age Estimation Framework with Weight-Aware Feature. 1-5 - Xin Fang, Xuwen Qiu, Xi Chen, Lyuyang Tong, Bo Du:
Semi-Supervised Fetal Echocardiography Segmentation and CHD Classification. 1-4 - Matteo Bastico, Pierre Onghena, David Ryckelynck, Beatriz Marcotegui, Santiago Velasco-Forero, Laurent Corté, Caroline Robine-Decourcelle, Etienne Decencière:
LMPT: Conditional Point Transformer for Anatomical Landmark Detection on 3D Point Clouds. 1-5 - Yuan Yuan, Deping Zhang, Bingfeng Luo, Yaozhong Luo, Shaopeng Liu, Xu Lu:
LIDSS: A Latent Information-Driven Dynamic Framework for Semi-Supervised Medical Image Segmentation. 1-5 - Kaifeng Pang, Qi Miao, Alex Ling Yu Hung, Changsuk Oh, Kai Zhao, Qiudi He, Marcel Dominik Nickel, Fei Han, Kyunghyun Sung:
AICM: An Anatomical-Prior Integrated Conditional Consistency Model for Self-Supervised MRI Through-Plane Super-Resolution. 1-5 - Li Zhou, Changsheng Fang, Bahareh Morovati, Shuo Han, Shuyi Fan, Yu Shi, Hengyong Yu:
CBCT-Pose: Few-Shot Viewpoint-Conditioned Diffusion for Sparse-View CBCT Reconstruction. 1-5 - Alice Le Nilias Houmeau, Thierry Cresson, Jacques A. de Guise:
3D Lung Reconstruction from X-Rays: Implicit Single-View Occupancy Vs. Explicit Voxel-Based Biplanar Methods. 1-4 - Shuxin Cao, Tenglong Wang, Yazhe Zhai, Jiahao Yu, Jiaolong Qin, Ye Wu:
Microstructure Informed Mamba Vision Masked Autoencoder for Personalized Brain Injury Detection from Diffusion MRI. 1-4 - Nour Aburaed, Marouane Tliba, Muzammil Behzad, Taifour Yousra, Aladine Chetouani, Azeddine Beghdadi, Faouzi Alaya Cheikh, Rachid Jennane:
Freqformer: Frequency-Aware Single Image Super Resolution Network for Biomedical HSI. 1-5 - Bradley P. Sutton, Lade Adetula, Anthony Bosshardt, Charles Marchini, Jiyoon Kim, Ching-Hsuan Peng, Yibo Zhao, Zhongming Liu, Georgia A. Malandraki:
Leveraging Simulscan to Understand Central Control of Speech and Swallowing. 1-4 - Jue Jiang, Harini Veeraraghavan:
Learnable Hierarchical Visual Contexts for Tumor Segmentation in Computed Tomography Images. 1-5 - Dost Muhammad, Pinar Akdemir Ozisik, Ayse Keles, Iftikhar Ahmad, Malika Bendechache:
Clinalignnet: A Clinician-Interactive Framework for Faithful and Aligned Explainability in MRI. 1-5 - Naoya Fukui, Hideaki Hayashi, Hajime Nagahara:
Unsupervised Confidence Calibration for Active Learning. 1-5 - Yaxi Chen, Zi Ye, Shaheer U. Saeed, Oliver Yu, Simin Ni, Jie Huang, Yipeng Hu:
Radiomics-Integrated Deep Learning With Hierarchical Loss for Osteosarcoma Histology Classification. 1-5 - Diyor Khayrutdinov, Simon Wiedemann, Reinhard Heckel:
F2FD-TTT: Test-Time Training with Self-Supervised Fourier-to-Fourier Denoising for Membrane Segmentation in Cryo-ET Tomograms. 1-5 - Dominik Winter, Mai Bui, Monica Azqueta-Gavaldon, Nicolas Triltsch, Marco Rosati, Nicolas Brieu:
MSDM: Generating Task-Specific Pathology Images with a Multimodal Conditioned Diffusion Model for Cell and Nuclei Segmentation. 1-5 - Eiram Mahera Sheikh, Alaa Tharwat, Constanze Schwan, Wolfram Schenck:
CGMD: Centrality-Guided Maximum Diversity for Annotation-Efficient Fine-Tuning of Pretrained Cell Segmentation Models. 1-5 - Evan Frenklak, Yamin Ishraq Arefeen, Jonathan I. Tamir:
Theoretical Bounds on Parallel Imaging Implicit Data Crimes in an MRI Reproducing Kernel Hilbert Space. 1-5 - Bin Xu, Yufei Zhou, Boling Song, Jingwen Sun, Yang Bian, Yikai Chen, Cheng Lu, Ye Wu, Jianfei Tu, Xiangxue Wang:
Hierarchical Multi-Scale Graph Learning with Knowledge-Guided Attention for Whole-Slide Image Survival Analysis. 1-4 - Mohamed Elsharkawy, Moumen T. El-Melegy, Asem M. Ali, Ali Mahmoud, Mohammed Ghazal, Ashraf Khalil, Wei Wang, Ayman El-Baz:
Protostage-NET: A Clinically Guided Foundation Model With Prototypical Learning for Automated Amd Grading From Oct Images. 1-4 - Soichi Mita, Shumpei Takezaki, Ryoma Bise:
Vesselfusion: Diffusion Models for Vessel Centerline Extraction From 3D Ct Images. 1-5 - Erwan Dereure, Robin Louiset, Laura Parkkinen, David A. Menassa, David Holcman:
Weakly Supervised Segmentation and Classification of Alpha-Synuclein Aggregates in Brightfield Midbrain Images. 1-5 - Rui Wang, Yuexi Du, John Lewin, R. Todd Constable, Nicha C. Dvornek:
Acquisition Time-Informed Breast Tumor Segmentation from Dynamic Contrast-Enhanced MRI. 1-5 - Daniela Herrera, Alexia Briassouli, Maurice van Keulen:
Hierarchical Frequency Regularization for Out-Of-Distribution Detection in Generative Models for Medical Images. 1-5 - Jian'an Ye, Ziwei Chen, Gen Shi, Zhongwei Bian, Yu An, Jie Tian:
DMC-SM: A Fast System Matrix Calibration Method for High-Quality Magnetic Particle Imaging Reconstruction. 1-5 - Vincent Briane, Charles Kervrann, Cyrille Billaudeau, Claire-Jing Rouchet, Rut Carballido-Lopez:
Mixture of Brownian Motions With Constrained Drift Velocities for Modeling Time-Varying Dynamics of Intracellular Bio-Molecules. 1-5 - Muhammad Ilham Rizqyawan, Peter Macfarlane, Stathis Hadjidemetriou, Fani Deligianni:
BEAT-SSL: Capturing Local ECG Morphology Through Heartbeat-Level Contrastive Learning with Soft Targets. 1-5 - M. A. Rivera, D. O. Smati, Jerome Michetti, Manuel Curado, José-Francisco Vicent, Duong-Hung Pham, Denis Kouame:
Falcon: Unfolded Variational Model for Blind Deconvolution and Segmentation in 3D Dental Imaging. 1-4 - Sin-Yee Yap, Fuad Noman, Junn Yong Loo, Devon Stoliker, Moein Khajehnejad, Raphaël C.-W. Phan, David L. Dowe, Adeel Razi, Chee-Ming Ting:
Brain-MGF: Multimodal Graph Fusion Network for EEG-FMRI Brain Connectivity Analysis Under Psilocybin. 1-5 - Takuro Shimaya, Ryosaku Shino, Masahiro Saiko:
Peripheral Prototypical Contrastive Loss for Supervised Medical Image Segmentation. 1-5 - Supriyo Sadhya, Xiaojun Qi:
X-Plain: Vision-Language Knowledge Distillation for Interpretable Chest X-Ray Diagnosis. 1-5 - Blanca Rodriguez-Gonzalez, Javier Hernandez-Rubia, Borja Rodríguez-Vila, Angel Torrado-Carvajal, Norberto Malpica:
Dirichlet-Based Evidential Loss for Uncertainty-Aware Medical Image Segmentation. 1-4 - Nima Torbati, Anastasia Meshcheryakova, Ramona Woitek, Diana Mechtcheriakova, Amirreza Mahbod:
ACS-SegNet: An Attention-Based CNN-Segformer Segmentation Network for Tissue Segmentation in Histopathology. 1-5 - Meryem Sikouky, Giorgio Toni, Francesco Ponzio, Damien Ambrosetti, Xavier Descombes:
Shape-Aware Multi-Task Instance Segmentation for Tubules in Renal Histology. 1-4 - Yuqi Ding, Mingde Xu, Xinyu Hao, Hongming Xu, Yiyao Sun, Juan Su, Mingchen Jiang, Chunna Yang:
Segmentation-Guided Multi-Task Learning for MRI-Based Prediction of Brain Metastasis Origin. 1-4 - Ido Nahum, Rotem Nizhar, Jacob Goldberger:
A Source-Free Segmentation Quality Estimation of a Model Adapted to a New Domain. 1-5 - Yi Zhu, Razmig Kéchichian, Raphaël Richert, Satoshi Ikehata, Sébastien Valette:
High-Fidelity 3D Tooth Reconstruction by Fusing Intraoral Scans and CBCT Data Via Deep Implicit Representations. 1-4 - Miaomiao Cai, Xiaoyu Liu, Zhiwei Xiong:
ScribPreDiff: Preference-Guided Latent-Alignment Diffusion for Scribble-Supervised Microscopy Instance Segmentation. 1-5 - E. Fontaine, Nicolas Passat, Stéphanie Salmon, A. Mendes-Carreira, C. Portefaix:
3T MRI 4D Flow Sequence Acquisition Time Reduction on a Vascular Phantom. 1-4 - Agathe Senellart, Maëlys Solal, Stéphanie Allassonnière, Ninon Burgos:
Mitigating the Reconstruction-Detection Trade-Off in Vae-Based Unsupervised Anomaly Detection. 1-5 - Midhila Madhusoodanan, Mahesh Raveendranatha Panicker, Abhilash Rakkunedeth Hareendranathan:
Deep Learning-Based Accelerated Adaptive Beamforming for Enhanced Musculoskeletal Ultrasound Imaging. 1-4 - Zhaoxian Ming, Yifei He, Yu Xie, Huangjing Ni, Zhijian Yao, Qing Lu, Ye Wu, Jiaolong Qin:
Jacobian Determinant Quantifies White Matter Plasticity Associated with SSRI Response in Depression. 1-4 - Joris Wuts, Jakub Ceranka, Loris Giordano, Nicolas Michoux, Vassiliki Pasoglou, Jef Vandemeulebroucke, Frédéric Lecouvet:
Benchmarking Lesion-Level Response Assessment of Metastatic Bone Disease on WB-MRI Using Manual, Interactive and Automated Segmentation Methods. 1-4 - Ines Vati, Pierrick Bourgeat, Rodrigo Santa Cruz, Vincent Doré, Olivier Salvado, Clinton Fookes, Léo Lebrat:
NC-REG: Neural Cortical Maps for Rigid Registration. 1-6 - Marianna Inglese, Shah Islam, Laura McLeavy, Francesco Mauri, Tara Barwick, Adam D. Waldman, Kevin O'Neill, Matthew Williams, Eric O. Aboagye, Nicola Toschi:
Multimodal MRI and 18F-FPIA PET for Non-Invasive IDH Mutation Prediction Using MRI-Foundation Model Embeddings. 1-5 - Ziyi Chen, Shaifali Parashar, Adrian Basarab:
Deformation-Aware Simulator for Handheld Ultrasound Imaging. 1-5 - Farhan Fuad Abir, Sanjeda Sara Jennifer, Niloofar Yousefi, Laura J. Brattain:
Hybrid Diffusion Model for Breast Ultrasound Image Augmentation. 1-4 - Ibrahim Abdelhalim, Walid Mohamed, Asem M. Ali, Mohammed Ghazal, Ali Mahmoud, Moumen T. El-Melegy, Ayman El-Baz:
CP-MIL: Class Prototype-Based Multiple Instance Learning for Lung Cancer Subtype Classification and Interpretability in Whole Slide Images. 1-4 - Grégoire Malandain, Haydar Jammoul, Kilian Biasuz, Patrick Lemaire:
Motion Compensation in Multiview Light Sheet Microscopy Temporal Series. 1-4 - Wai Tak Lau, Aruzhan Abil, Bill Chen, Jedrzej Golebka, Jessilyn Dunn, Ahmed A. Metwally, Kaveri A. Thakoor:
The Retinal-Glycemic Link: Using Retinal Imaging to Explore Glycemic Variability. 1-5 - Ricardo Teresa Ribeiro, Théo Coutaudier, Patrizia D'Amelio:
Automated Sarcopenia Risk Stratification from POCUS Using Vision Transformers and Radiomics. 1-4 - Yixuan Zhang, Qing Xu, Yue Li, Xiangjian He, Zhen Chen:
Towards Universal Ultrasound Analysis: Parameter-Efficient Foundation Model With Task-Aware Routing for Heterogeneous Multi-Task Learning. 1-4 - Zekun Hu, Yong Qi, Huafeng Wang, Yanqing Wang, Longzhen Wang, Suqing Wang:
Introducing Curvature Trajectory Information into Boundary Corner Point Distribution to Guide Colorectal Polyp Segmentation. 1-4 - Jianxiang Dong, Zhaozheng Yin, Herbert J. Bernstein, Jean Jakoncic:
Content-Aware Image Compression Model for Macromolecular Crystallography Data. 1-5 - Xiaofei Su, Zengshuo Wang, Minghe Sun, Xin Zhao, Mingzhu Sun:
TAPE: A Two-Stage Parameter-Efficient Adaptation Framework for Foundation Models in OCT-OCTa Analysis. 1-5 - Baptiste Pierrard, Michaël Sdika, Pierre-Marc Jodoin:
Frugal-Combat: An Ultra-Low-Sample Diffusion MRI Harmonization Method. 1-5 - Vanshali Sharma, Andrea Mia Bejar, Gorkem Durak, Ulas Bagci:
CTest-Metric: A Unified Framework to Assess Clinical Validity of Metrics for CT Report Generation. 1-5 - Inhyuk Park, Doohyun Park:
Task-Agnostic Noisy Label Detection via Standardized Loss Aggregation. 1-5 - Juntao Qiu, Yaping Zhao, Yuxing Li, Allie Lee, Vincent Tam, Edmund Y. Lam:
Poseidon: Portable Ocular Surface Evaluation with Integrated Design of Hardware and Network. 1-4 - Yixin Ji, Vince D. Calhoun, Jin Zhang, Qi Zhu, Shengrong Li, Si Yong Yeo, Daoqiang Zhang, Shile Qi:
LBFC-MDG: Learnable Brain Functional Connectivity with Multi-Site Domain Generalization Enhances Diagnosis of Schizophrenia. 1-4 - Jinhao Wang, Xia Li, Raphael Surbeck, Sasa Cukovic, William R. Taylor:
Automated 2D/3D Fluoroscopic Registration for Joint Kinematics Using Fluoroscopic-to-DRR Translation. 1-5 - Weiwei Ma, Xiaobing Yu, Peijie Qiu, Jin Yang, Pan Xiao, Xiaoqi Zhao, Xiaofeng Liu, Tomo Miyazaki, Shinichiro Omachi, Yongsong Huang:
U-Harmony: Enhancing Joint Training for Segmentation Models with Universal Harmonization. 1-5 - Youwan Mahé, Elise Bannier, Stéphanie Leplaideur, Elisa Fromont, Francesca Galassi:
Unsupervised Detection of Post-Stroke Brain Abnormalities. 1-5 - Shir Ashkenazi, Nahum Kiryati, Dor Freidin, Ariel Tessone, Shai Tejman-Yarden, Arnaldo Mayer:
Abdominal Segmentation and Blood Vessel Detection in CTA Scans for Diep Reconstruction Procedures. 1-5 - Giorgio Chiesa, Rossella Borra, Vittorio Lauro, Sabrina De Cillis, Daniele Amparore, Cristian Fiori, Riccardo Renzulli, Marco Grangetto:
Synthetic Dataset Generation and Validation for Robotic Surgery Instrument Segmentation. 1-4 - Kieu-Anh Thi Truong, Huy-Hieu Pham, Duc-Trong Le:
Clear: Causal Learning Framework for Robust Histopathology Tumor Detection Under Out-of-Distribution Shifts. 1-5 - Bo Deng, Yitong Tang, Jiake Li, Yuxin Huang, Li Wang, Yu Zhang, Yufei Zhan, Hua Lu, Xiaoshen Zhang, Jieyun Bai:
Baseline Method of the Foundation Model Challenge for Ultrasound Image Analysis. 1-4 - Yue Yang, Zhenxuan Zhang, Peiyuan Jing, Krinos Li, Guang Yang:
Energyflow: A Physically Consistent Learning Framework for 3D Microscopy Deconvolution. 1-4 - Yinyu Lan, Xiao Zhang:
Brain Disease Diagnosis Via Integration of Topological Features and Class Prototypes. 1-5 - Laetitia Rebiere, Aïna Venkatasamy, Thomas Lampert:
Hierarchical Clustering for False Negative Aware Prototypical Contrastive Learning in Histopathology. 1-5 - Mohanad Alkhodari, Prenali D. Sattwika, Nick Wilmes, Vadir Baktash, Winok Lapidaire, Paul Leeson, Turkay Kart:
HyLLM: A RAG-Based Large Language Model Framework for Phenotype-Guided Reasoning in Hypertensive Management. 1-5 - Mikhail Konov, Lion J. Gleiter, Khoa Co, Monica Yabal, Tingying Peng:
NOA: A Versatile, Extensible Tool for AI-Based Organoid Analysis. 1-5 - Vassili Pustovalov, Anes Ghouli, Duong-Hung Pham, Denis Kouamé:
Diffusion-Based Fourier Domain Deconvolution with Application to Ultrasound Image Restoration. 1-4 - Jonathan Lennartz, Thomas Schultz:
Quality Control for Medical Image Segmentation Under Domain Shift with Heteroscedastic Regression. 1-5 - Mahdi Saberi, Zidan Yu, Christoph Rettenmeier, V. Andrew Stenger, Mehmet Akçakaya:
Phase-Correction Strategies for Physics-Driven Deep Learning Reconstruction of Accelerated Non-Cartesian Multi-Echo fMRI. 1-4 - Mehmet Yigit Avci, Pedro Borges, Virginia Fernandez, Paul Wright, Mehmet Yigitsoy, Sébastien Ourselin, Manuel Jorge Cardoso:
Metadata-Aligned 3D MRI Representations for Contrast Understanding and Quality Control. 1-4 - Zhenyu Lei, Aiying Zhang, Song Wang, Han Fan, Jundong Li:
BrainTAP: Brain Disorder Prediction with Adaptive Distill and Selective Prior Integration. 1-5 - Huy Le Pham, Khoa Ha Anh, Nguyen-Thanh-Thao Vo, Ky Trung Nguyen, Chau Ly Thi Huyen, Hien Q. Ta, Thang Doan Van:
An Efficient Framework for Long-Tailed and Multi-Label Classification on Chest X-Rays. 1-4 - Razi Mahmood, Pingkun Yan, Tanveer F. Syeda-Mahmood:
Automatic Correction of Generative AI Chest X-Ray Radiology Reports. 1-5 - Bisi Bode Kolawole, Ujwala Chaudhari, Irene Zammarchi, Giovanni Santacroce, Rocio Del Amor, Pablo Meseguer, Cecilia Pugliano, Valery Naranjo, Subrata Ghosh, Marietta Iacucci, Enrico Grisan:
Weakly Supervised Counterfactual Spatio-Temporal Multiple Instance Learning for Inflammation Detection in Endoscopic Inflammatory Bowel Disease Assessment. 1-4 - Ekansh Sareen, Nivedya Suresh Nambiar, Dimitri Van De Ville:
Functional Gradients of the Spinal Cord and Corticospinal System. 1-5 - Shreyasi Datta, Jayavardhana Gubbi, Arpan Pal:
Learning EEG Representations for Neural Abnormality Detection from Graph Encoded Sequences. 1-5 - Chunlin Mi, Thierry Denoeux, Pierre Vera, Su Ruan:
LognormalNet: Parametric Survival Model with Uncertainty Quantification via Evidential Likelihood-Based Inference. 1-5 - David Julian Fischer, Markus Eckstein, Andreas M. Kist:
Latent Space Modelling of a Biomedical Multimodal Dataset. 1-5 - Mingyang Xia, Yonggang Shi:
Task-Aware Functional Hypergraph Learning for Brain State Classification via Information Bottleneck. 1-5 - Alexander Lin, Shunxing Bao, Ken S. Lau, Simon N. Vandekar, Daniel Moyer, Qi Liu, Siyuan Ma:
BASSL-MI: Batch-Agnostic Self-Supervised Learning Uncovers Clinically Relevant Tumor Niches in Multiplexed Imaging. 1-5 - Michele Cannito, Riccardo Renzulli, Adson Duarte, Farzad Nikfam, Carlo Alberto Barbano, Enrico Chiesa, Francesco Bruno, Federico Giacobbe, Wojciech Wanha, Arturo Giordano, Marco Grangetto, Fabrizio D'Ascenzo:
Automated Prediction of Paravalvular Regurgitation Before Transcatheter Aortic Valve Implantation. 1-4 - Taylla M. Theodoro, Ilan F. Da Silva, Selina Tsim, Kevin G. Blyth, Alexandre X. Falcão:
Meso-Regions: 4D Segmentation of Early Contrast Enhancement Biomarkers for Pleural Mesothelioma Diagnosis. 1-5 - Soumitri Chattopadhyay, Basar Demir, Marc Niethammer:
On the Robustness of Foundational 3D Medical Image Segmentation Models Against Imprecise Visual Prompts. 1-5 - Ardhendu Sekhar, Vasu Soni, Keshav Aske, Garima Jain, Pranav Jeevan, Amit Sethi:
Survival Modeling from Whole Slide Images Via Patch-Level Graph Clustering and Mixture Density Experts. 1-4 - Donnate Hooft, Stefan M. Fischer, Cosmin Bercea, Jan C. Peeken, Julia A. Schnabel:
LOCBAM: Advancing 3D Patch-Based Image Segmentation by Integrating Location Context. 1-4 - Grégory Paul, Stephen M. Huisman, Denise Goly, Maximilian von Büdingen, Damian Brunner:
Defining and Characterizing Membrane Domains from Fluorescence Images: Persistent Homology to the Rescue. 1-5 - Ha-Eun Kim, Kwanseok Oh, Heung-Il Suk:
PAT-DIFF: Pathology-Aware Residual Diffusion Framework for MRI-to-PET Translation in Alzheimer's Disease. 1-5 - Martin Amster, Camila María Polotto:
A Multi-Stage Optimization Pipeline for Bethesda Cell Detection in Pap Smear Cytology. 1-4 - Armina Fani, Isabelle Le, Mike Doan, Karen Uba, Jocelyne Bachevalier, Sarah Shultz, Vince D. Calhoun, Sergey M. Plis:
Label Brain Transplant: Utilizing Incomplete Manual Segmentations to Boost Deep Learning Generalization. 1-4 - Jamie Alexis D. Goco, Hooman Vaseli, Purang Abolmaesumi, Christina Luong, Teresa S. M. Tsang:
Protomsnet: A Prototypical Network for Interpretable Detection of Mitral Stenosis in Echocardiography. 1-4 - Yue Qi, Lei Mou, Zheng Li, Xin Han:
DINOv2-Enhanced Dual-View Unimatch for Joint Carotid Plaque Segmentation and Classification. 1-4 - Georgia Kanli, Selma Boudissa, Salah Gamizi, Valérie Palissot, Radovan Jirík, Olivier Keunen:
MR-IQ Metric: A New Reference-Free Metric for Quantitative Preclinical MR Image Quality Assessment. 1-5 - Peng Li, Yue Zhao, Jianxing Liu, Yue Hu:
HG-MRF: Anatomy-Aware Hierarchical Hypergraph Regularization for MR Fingerprinting Reconstruction. 1-4 - Waqar Ali, Shana Stämpfli, Thilo Stadelmann, Schlomo Aschkenasy, Ahmed Abdulkadir:
Automated, Vendor-Agnostic Measurement of Myocardial Tissue Velocities in Echocardiography. 1-5 - Zhiwei Wang, Yuxing Li, Meilu Zhu, Defeng He, Edmund Y. Lam:
Joint Segmentation and Grading with Iterative Optimization for Multimodal Glaucoma Diagnosis. 1-4 - Seoyoung Oh, Mélanie Pélégrini-Issac, Hélène Urien, Véronique Marchand-Pauvert, Jérémie Sublime:
Multi-Map Fusion for Weakly Supervised Disease Localization from Globally Assigned Diagnostic Labels in Brain MRI. 1-5 - Laura Salort-Benejam, Antonio Agudo:
NeRFscopy: Neural Radiance Fields for in-Vivo Time-Varying Tissues from Endoscopy. 1-5 - Aitor González-Marfil, Mirja Granfors, Giovanni Volpe, Estibaliz Gómez-de-Mariscal, Ignacio Arganda-Carreras:
Lightweight Zero-Shot Segmentation of Mitochondria in Electron Microscopy Images. 1-4 - Michael Fraiman, Paulina Hoyos, Tamir Bendory, Joe Kileel, Oscar Mickelin, Nir Sharon, Amit Singer:
SO(3)-Invariant PCA with Application to Molecular Data. 1-5 - Stacy Chen, Allen Xu, Minjeong Kim:
Learning Time-Varying Co-Fluctuation Patterns from FMRI for Neurological Disease Diagnosis. 1-4 - Zengtian Deng, Yimeng He, Yu Shi, Lixia Wang, Touseef Ahmad Qureshi, Xiuzhen Huang, Debiao Li:
From Global Radiomics to Parametric Maps: A Unified Workflow Fusing Radiomics and Deep Learning for PDAC Detection. 1-5 - Krithika Iyer, Austin Tapp, Athelia Rosa Paulli, Gabrielle Dickerson, Syed Muhammad Anwar, Can Zhao, Daguang Xu, Antonio R. Porras, Natasha Leporé, Marius George Linguraru:
MRI-To-CT Synthesis with Cranial Suture Segmentations Using a Variational Autoencoder Framework. 1-5 - Bin Zhang, Xingyang Wu, Dong Liang, Yihang Zhou, Haifeng Wang:
Two-Stage Physics-Guided Self-Supervised Quantitative MRI with Diffusion-Based Refinement for Synthetic DIR Imaging in Multiple Sclerosis. 1-4 - Josef Mayr, Anna Reithmeir, Maxime Di Folco, Julia A. Schnabel:
Covariance Descriptors Meet General Vision Encoders: Riemannian Deep Learning for Medical Image Classification. 1-5 - Yi Fang, Lara Morley, Abigail Byford, Karen Forbes, Nigel Simpson, Arash Rabbani:
A Unified Deep Learning Pipeline for Placental Morphometric and Phenotypic Mapping in Gestational Diabetes. 1-5 - Mohamed Mounib Benimam, Astri Frafjord, Alexandre Corthay, Thibault Lagache, Jean-Christophe Olivo-Marin, Vannary Meas-Yedid:
SpatioMap: A Tile-Based Spatial Heatmap Framework for Tumor Microenvironment Heterogeneity in Whole Slide Images. 1-5 - Akila Pemasiri, Ethan Goan, Glen A. Lichtwark, Luke A. Kelly, Clinton Fookes:
Biomechanically Accurate Gait Analysis: A 3D Human Reconstruction Framework for Markerless Estimation of Gait Parameters. 1-5 - Zhennan Xiao, Katharine Brudkiewicz, Zhen Yuan, Rosalind Aughwane, Magdalena J. Sokolska, Joanna Chappell, Trevor Gaunt, Anna L. David, Andrew P. King, Andrew Melbourne:
Deep Learning-Based Fetal Lung Segmentation and Lung Development Evaluation from Diffusion-Weighted Mri Images. 1-4 - Usama Jameel, Nicola Belcari:
Swin-DDPM: A Transformer-Enhanced Diffusion Model for Multi-Organ Low Dose CT Denoising. 1-5 - Rubin Li, Lin Li, Xuechen Zhang:
Efficient Statistical Shape Analysis of 3D Cell Surface with Deep Functional Map and Elastic Shape Flow. 1-4 - Nathan Hutin, Thomas Grenier, Sébastien Valette, Hamid Ladjal:
Evaluating Segmentation Using Betti-1 Topological Metric: Application to Nasal Cavities in the Context of Airflow Simulation. 1-5 - Paul Banahan, Edward McDermott, Molly Godson Treacy, Prateek Mathur, David Caldwell, Eimear Kyle, Aonghus Lawlor, Peter MacMahon:
Quantitative and Qualitative Assessment of Generative AI for Cross-Modal CT-to-MRI Translation in Spine Imaging. 1-4 - Mark Eastwood, Thomas Alexander McKee, Zedong Hu, Sabine Tejpar, Fayyaz Minhas:
Beer-Lambert Autoencoder for Unsupervised Stain Representation Learning and Deconvolution in Multi-Immunohistochemical Brightfield Histology Images. 1-5 - Keqi Han, Yao Su, Songlin Zhao, Charles Gillespie, Boadie Dunlop, Daniel Barron, Randy Hirschtick, Liang Zhan, Lifang He, Xiang Li, Carl Yang:
Atlas-Free Functional Brain Connectome Analysis Via Task-Driven Parcellation. 1-5 - Jierui Qu, Jianchun Zhao:
RDTE-UNet: A Boundary and Detail Aware UNet for Precise Medical Image Segmentation. 1-5 - Haytham A. Ali, Hiroyuki Kudo:
Multi-Frequency and Locality-Guided Attention U-Net Gan for Limited-Angle CT Reconstruction. 1-4 - Yingyu Yang, Qianye Yang, Can Peng, Yuyuan Liu, J. Alison Noble:
View-Guided Multi-Task Learning for Fetal Cardiac Segmentation and CHD Classification. 1-5 - Mohammad Sabih, Afnan Alqarni, Mohamed Almekkawy:
Region-Aware Loss Modulation for Accurate and Efficient 3D ULM. 1-4 - Israa Sharaby, Ahmed Alksas, Osama Ezzat, Amr A. Elsawy, Rasha T. Abouelkheir, Ahmed Elmahdy, Sherry M. Khater, Moumen T. El-Melegy, Asem M. Ali, Ali Mahmoud, Mohammed Ghazal, Sohail Contractor, Mahmoud A. Bazeed, Ahmed Mosbah, Ayman El-Baz:
Texture-Guided Adversarial Segmentation of Non-Muscle-Invasive Bladder Cancer in T2-Weighted Imaging. 1-4 - Yushuo Niu, Hailey Reed, Qian Yang:
DeltaSegment: Multifidelity Medical Image Segmentation via Change Detection. 1-5 - Tonghao Zhuang, Shanglong Hu, Yongsheng Luo, Zhiqi Zhang, Yu Li:
Synergistic Foundation Models for Semi-Supervised Fetal Cardiac Ultrasound Analysis: SAM-Med2D Boundary Refinement and DINOv3 Semantic Enhancement. 1-5 - Uma Meleti, Jeffrey J. Nirschl:
Uncertainty-Aware Image Classification in Biomedical Imaging Using Spectral-Normalized Neural Gaussian Processes. 1-4 - Tianli Tao, Ziyang Wang, Delong Yang, Han Zhang, Le Zhang:
Trustworthy Longitudinal Brain MRI Completion: A Deformation-Based Approach with KAN-Enhanced Diffusion Model. 1-4 - Sung-Che Cheng, Ching-Te Chiu, Ned Lin, Ang Yu, Paul Lai, Daniel Chen, Po-Hsuan Hung:
GLMS-PAD: Domain-Generalized Multi-Scale PAD for Fingerprint Presentation Attack Detection. 1-4 - Mrinal Tyagi, Ashish Suri, Chetan Arora:
Robust and Efficient 3D Gaussian Splatting for Diagnostic Imaging. 1-4 - Yanxuan Yu, Dong Liu, Ying Nian Wu:
CoPrimeEEG: CRT-Guided Dual-Branch Reconstruction from Co-Prime Sub-Nyquist EEG. 1-5 - Fareeha Sarwar, Nuno Miguel De Figueiredo Garrido, Margarida Silveira:
Enhancing Mammogram-Based Breast Cancer Prediction From Pretrained Vision-Language Models: the Role of Soft Prompts and Bidirectional Fusion. 1-5 - Siqi Wang, Juexue Wang, Zhuo Deng, Wenbin Wei, Lan Ma:
DINO-MambaSeg: A Foundation-Guided Network for Patchy Atrophy Segmentation. 1-5 - Kiet Dang, Thanh Nguyen:
RS Rdmasterclass: Technical Report for CSV2026 Challenge. 1-4 - Rodrigo Mota, Kelvin Cunha, Emanoel dos Santos, Fábio Papais, Francisco Filho, Thales Bezerra, Érico Medeiros, Paulo Borba, Tsang Ing Ren:
Contrastive Meta-Domain Adaptation for Robust Skin Lesion Classification Across Clinical and Acquisition Conditions. 1-4 - Khang Le, Anh Mai Vu, Thi Kim Trang Vo, Ha Thach, Ngoc Bui Lam Quang, Thanh-Huy Nguyen, Minh H. N. Le, Zhu Han, Chandra Mohan, Hien Van Nguyen:
LPD: Learnable Prototypes with Diversity Regularization for Weakly Supervised Histopathology Segmentation. 1-5 - Mostafa Abdelrahim, Mohamed Khudri, Ali Mahmoud, Ahmed Shalaby, Moumen T. El-Melegy, Asem M. Ali, Mohammed Ghazal, Fatma Taher, Ashraf Khalil, Sohail Contractor, Gregory N. Barnes, Ayman El-Baz:
Role of Sex in Structural MRI Prediction of Cognition Severity in Autism. 1-4 - Weiran Xia, Dan Hu, Sheng Song, Yen-Yu Ian Shih, Li-Ming Hsu, Gang Li:
Tri-Modality Transformer for Denoising: An Application to Rodent Sordino FMRI. 1-5 - Aurora Pia Ghiardelli, Guangzhi Tang, Tao Sun:
Reliable Brain Tumor Segmentation Based on Spiking Neural Networks with Efficient Training. 1-5 - Wenqing Jiang, Yoichi Kato, Hiroyasu Iwata:
Resmscam-FFT Net: Residual Multi-Scale Channel Attention Module with Fast Fourier Transform Network for Cardiac Segmentation. 1-5 - J. Mabon, J. C. Olivo-Marin:
Improving Gradient Flow Methods for Instance Segmentation of Crossing Objects. 1-5 - Kay C. Igwe, Soroush Arabshahi, Sree Kuntamukkala, Carmine Palermo, William J. Drew, Stephen Sastra, Michael A. Badgley, Yanping Sun, Kenneth P. Olive, Andrew F. Laine:
Penalty-Based Multi-Objective Optimization for Robust Data Splitting to Improve Consistency in Deep Learning Models. 1-5 - Zejun Fu, Hongshun Ling, Jinjing Wu, Li Zhang:
A View-Specific Dual-Task Framework for Fetal Heart Ultrasound Analysis. 1-4 - Adam Bajger, Jan Obdrzálek, Vojtech Kur, Rudolf Nenutil, Petr Holub, Vít Musil, Tomás Brázdil:
Explaining Digital Pathology Models Via Clustering Activations. 1-5 - Hoang Le, Quang Do, Thang Nguyen, Hang Nguyen:
Otoscopy AI: Deeply Supervised Attention for Otoscopic Image Segmentation. 1-4 - Peng Li, Yinghao Zhang, Xin Lu, Yue Hu:
Unsupervised Fixed Point Networks for Improved MRF Reconstruction. 1-4 - Anirban Ray, Vera Galinova, Florian Jug:
ResMatching: Noise-Resilient Computational Super-Resolution via Guided Conditional Flow Matching. 1-5 - Kohei Shimazu, Yuichiro Shirota, Takaaki Nara:
Separation of Epileptic Foci and Background Sources Using Heterogeneous Source Model with Poisson Wavelet Expansion. 1-5 - Qiyu Wang, Xiao Li, Yudan Ren, Zhibin He:
MeGMA: A Multi-Level Graph Matching Framework for Gyral Hinge Alignment. 1-4 - Jagan Mohan Reddy Dwarampudi, Joshua Wong, Hien Van Nguyen, Tania Banerjee:
A Multi-Scale Linear-Time Encoder for Whole-Slide Image Analysis. 1-4 - Chyong Yi Poh, Fuad Noman, Yee-Fan Tan, Hwa Hui Tew, Junn Yong Loo, Raphaël C.-W. Phan, Chee-Ming Ting:
A Multi-Modal Variational Hypergraph Autoencoder for Structural-Functional Brain Connectivity Analysis. 1-5 - Chiquita Ahsanunnisa, Fariska Z. Ruskanda, Robithoh Annur, Rinaldi Munir, Nur Ahmadi:
Real-Time Camera-Based Heart Rate Estimation System Using Deep Learning on Edge Device. 1-4 - Behnaz Elhaminia, Catherine King, Jiaqi Lv, Lorraine Harper, Paul Moss, Owen Cain, Dimitrios Chanouzas, Shan-E-Ahmed Raza:
A Deep Learning Framework for Glomeruli Segmentation with Boundary Attention. 1-5 - Mounir Messaoudi, Charles Kervrann:
Anisotropy-Aware Strategy for Robust Deep Learning-Based Particle Picking in 3D Cellular Cryo-Electron Tomogram. 1-5 - Jessica Bohm, Vibujithan Vigneshwaran, Emma A. M. Stanley, Yohan Yee, Nils D. Forkert:
Exploring Xeno-Learning for Brain Image Synthesis: An Image-to-Image Translation Approach to Cross-Species Knowledge Transfer. 1-5 - Jinghan Yang, Tian Jie, Kun Wang:
DIFF-MAMBA: Efficient State-Space Modeling for End-To-End Ultrasound Video Diagnosis. 1-5 - Yiwei Li, Yi Pan, Junhao Chen, Yifan Zhou, Hanqi Jiang, Huaqin Zhao, Yanjun Lyu, Zhengliang Liu, Lin Zhao, Dajiang Zhu, Xiang Li, Tianming Liu:
MEDQUA: A NISQ-Aware Quantum Adapter for Medical Vision-Language Models. 1-5 - Yu Lu, Thomas F. Lynn, Ming Du, Zichao Di, Sven Leyffer:
Optimizing Paths for Adaptive Fly-Scan Microscopy. 1-5 - Haicheng Du, Guanghui Li, Ziwei Chen, Penghua Zhai, Yu An, Jie Tian:
Harmonic-Fused Dual-Domain Network for Low-Concentration Magnetic Particle Imaging Reconstruction. 1-5 - Roua Rouatbi, Juan Esteban Suarez Cardona, Alba Villaronga-Luque, Jesse V. Veenvliet, Ivo F. Sbalzarini:
A Continuous and Interpretable Morphometric for Robust Quantification of Dynamic Biological Shapes. 1-5 - Isabelle Le, Jocelyne Bachevalier, Sarah Shultz, Vince D. Calhoun, Sergey M. Plis:
MEDLEY: Orchestrating Imperfect Segmentation Through Physics-Aware Multi-Tool Curation for Infant Brain MRI. 1-4 - Chun-I Wu, Kalyan Banda, Elizabeth M. Swisher, Heba Sailem:
Adaptive Multi-Scale Graph Transformer Framework for Histopathological Images. 1-5 - Mohammad Daouk, Jan Ulrich Becker, Neeraja Kambham, Anthony Chang, Chandra Mohan, Hien Van Nguyen:
Robust by Design: A Continuous Monitoring and Data Integration Framework for Medical AI. 1-4 - Yike Guo, Yi Luo, Hamed Hooshangnejad, Zongwei Zhou, Kai Ding:
HAGD: Hierarchical Anatomical-Guided Diffusion for Synthetic CT Generation from CBCT. 1-5 - Marie Arrivat, Rémy Peyret, Elsa D. Angelini, Pietro Gori:
Leveraging Whole Slide Difficulty in Multiple Instance Learning to Improve Prostate Cancer Grading. 1-4 - Yinghui Wang, Jing Cai:
U²Model: a Unified-Universal Model for Multi-Modal Mri Synthesis and Registration. 1-5 - Marceau Lafargue-Hauret, Raghav Mehta, Fabio De Sousa Ribeiro, Mélanie Roschewitz, Ben Glocker:
Pixel-Level Counterfactual Contrastive Learning for Medical Image Segmentation. 1-5 - Ashutosh Gupta, Chandra Sekhar Seelamantula, Thierry Blu, Himanshu Shekhar, Nitant Dube, Shanmuganathan Raman:
Unsupervised Ultrasound Image Denoising with Monte Carlo Risk Estimation. 1-4 - Ben Schaper, Maxime Di Folco, Bernhard Kainz, Julia A. Schnabel, Cosmin I. Bercea:
Measuring and Aligning Abstraction in Vision-Language Models with Medical Taxonomies. 1-4 - Yinong Cui, Yuanhao Cai, Jiayi Zhang, Lin Yin, Xiaowei He, Hongbo Guo:
Semi-Wavelet Attention Transformer-Based MPI Reconstruction Algorithm. 1-4 - Arghavan Rezvani, Kun Han, Anthony T. Wu, Pooya Khosravi, Xiaohui Xie:
Rotation Equivariant Convolutions in Deformable Registration of Brain MRI. 1-5 - Wissam Harib, Shereen Fouad, Taha F. Mahmoud:
A Dirichlet Distribution-Based Trust-Adaptive Ensemble Approach for Pneumonia Classification from Chest X-Ray Images. 1-4 - Avnish Aryan, Gunjan Deotale, Dev Kumar Das:
Distance Weighted Ordinal Modeling for Ulcerative Colitis Severity Assessment in Endoscopy. 1-4 - Jianxun Yu, Meirui Jiang, Winnie Chiu Wing Chu, Qi Dou:
Entity Knowledge Graph Enhanced Vision Language Model for Multi-Organ Diagnosis. 1-5 - Siddharth Srivastava, Adam Smith, Scott Brooks, Jack Bacon, Till Bretschneider:
Ensemble of Small Classifiers for Imbalanced White Blood Cell Classification. 1-5 - Bo Zhai, Changqin Yan, Zhiyuan Zhao, Fangjin Deng, Feng Wei, Chenzi Wang, Kundong Mo:
Segmentation and Diagnosis of Fetal Heart Ultrasound Based on Anatomical Structure Priors and Dual-Threshold Guided Semi-Supervised Learning. 1-5 - Linbo Tang, Qiang Liu, Lipeng Ning, Yogesh Rathi:
Scanner-Adaptive Coil-Level Denoising for Diffusion Mri Using Explicit Noise Priors. 1-5 - Ku Zhao, Xianhao Zhou, Wenjun Liao, Shichuan Zhang, Shaoting Zhang, Guotai Wang:
3D DoseGLA: Gated Linear Attention with Wavelet-Domain Constraint for Efficient 3D Radiotherapy Dose Prediction. 1-5 - Jiahao Yu, Tenglong Wang, Yu Xie, Jiaolong Qin, Ye Wu:
Artifact Correction and Quality Assessment via Perceptual Contrastive Learning on Diffusion MRI. 1-4 - Samyak Sanghvi, Piyush Miglani, Sarvesh Shashikumar, Kaustubh Borgavi, Veenu Singla, Chetan Arora:
Attend What Matters: Leveraging Vision Foundational Models for Breast Cancer Classification Using Mammograms. 1-4 - You Zhou, Guangxia Cui, Shuchang Lyu, Guangliang Cheng, Lijiang Chen, Wenpei Bai, Qi Zhao:
Fedharmo: Harmonizing Global Aggregation and Local Alignment in Cross-Domain Federated Medical Image Segmentation. 1-5 - Xuan Hieu Le, Denis Kouamé, Duong-Hung Pham:
GLUS: Guidance Loss Driven Plug-and-Play Diffusion for Ultrasound Image Super-Resolution. 1-4 - Sahar Nasirihaghighi, Negin Ghamsarian, Yiping Li, Marcel Breeuwer, Raphael Sznitman, Klaus Schoeffmann:
SAM-FED: SAM-Guided Federated Semi-Supervised Learning for Medical Image Segmentation. 1-5 - Keke Shi, Adéla Samesova, Susanne Housmans, Ann Pastijn, Hans Peter Dietz, Ka Lai Shek, Jan Deprest, Helena Williams:
Robust Landmark Detection in TPUS: Can AI Overcome Clinical Image Quality Variability? 1-5 - Avadhut Eknath Kabadi, Angshuman Paul:
MPD-CXR: Diffusion Model with Multi-Perspective Semantic Conditioning for Chest X-Ray Synthesis from Report. 1-5 - Ashim Dhor, Emily Das, Rasel Mondal, Shweta Azad, Vaishali Walke, Shakti Kumar Yadav, Abhirup Banerjee, Tanmay Basu:
Histo-Unet: Histopathology Image Segmentation Using Topology-Aware Unet with Dual Uncertainty Quantification. 1-4 - Yash Deo, Yan Jia, Toni Lassila, Victoria J. Hodge, Alejandro F. Frangi, Chenghao Qian, Siyuan Kang, Ibrahim Habli:
A Calibrated Memorization Index (MI) for Detecting Training Data Leakage in Generative MRI Models. 1-5 - Sebastian Doerrich, Francesco Di Salvo, Jonas Alle, Christian Ledig:
Stylizing ViT: Anatomy-Preserving Instance Style Transfer for Domain Generalization. 1-5 - C. J. Aromal, Sumit Datta:
Graph-Fista-Net: An Interpretable Graph Unrolling Network for Fast Compressed Sensing MRI. 1-4 - Kimberly Amador, Anthony J. Winder, Jens Fiehler, Philip A. Barber, Matthias Wilms, Nils D. Forkert:
Beyond Dichotomization: Ordinal Prediction of Functional Stroke Outcomes from 4D CTP and Clinical Metadata Using Deep Learning. 1-5 - Zi Wang, Liutao Yang, Fanwen Wang, Yinzhe Wu, Zhenxuan Zhang, Ling Huang, Guang Yang:
Making 3D Diffusion Easier: Autocalibration-Signal-Conditioned Diffusion Model for Dynamic Mri Reconstruction. 1-4 - Ruben Acosta-Velasquez, Fabián Cano, Eduardo Romero, Fabio A. González:
From Binary to Continuous: Learning to Continuously Quantify Histopathological Patterns from Binary Labeled Images. 1-5 - Imen Bajar, Mohamed Maouche, Carole Frindel:
Beyond the Mask: The Illusion of Privacy in Defaced Brain MRI. 1-5 - Xin Tian, Xudong Ma, Tianqi Yang, Alin Achim, Bartlomiej W. Papiez, Phandee Watanaboonyongcharoen, Nantheera Anantrasirichai:
WBCBENCH 2026: A Challenge for Robust White Blood Cell Classification Under Class Imbalance. 1-4 - Abhinav Dhere:
A Comparison of Strategies for Automatic Frame Selection Towards Blind Sweep Point of Care Ultrasound. 1-4 - Chloe Scholten, Elyssa M. McMaster, Adam M. Saunders, Michael E. Kim, Gaurav Rudravaram, Elias Levy, Bryce Geeraert, Lianrui Zuo, Simon N. Vandekar, Catherine Lebel, Bennett A. Landman:
Evaluation of Neurocombat and Deep Learning Harmonization for Multi-Site Magnetic Resonance Neuroimaging in Youth with Prenatal Alcohol Exposure. 1-4 - Philip Groult, Julia Sistermanns, Ellen Emken, Oliver Hayden, Wolfgang Utschick:
Reconstructing Patched or Partial Holograms to Allow for Whole Slide Imaging with a Self-Referencing Holographic Microscope. 1-5 - Nathaniel Hanson, Mateusz Wolak, Jonathan Richardson, Patrick Walker, David M. Burmeister, Chakameh Z. Jafari:
Multimodal Optical Imaging Platform for Quantitative Burn Assessment. 1-5 - Yi Luo, Yike Guo, Hamed Hooshangnejad, Zongwei Zhou, Kai Ding:
Scale-Aware Curriculum Learning for Data-Efficient Lung Nodule Detection with YOLOV11. 1-5 - Haozhe Luo, Shelley Zixin Shu, Ziyu Zhou, Sebastian Otálora, Mauricio Reyes:
XBench: A Comprehensive Benchmark for Visual-Language Explanations in Chest Radiography. 1-5 - Zhenxuan Zhang, Peiyuan Jing, Zi Wang, Ula Briski, Coraline Beitone, Yue Yang, Yinzhe Wu, Fanwen Wang, Liutao Yang, Jiahao Huang, Zhifan Gao, Guang Yang, Peter J. Lally:
Pretext Task Adversarial Learning for Unpaired Low-Field to Ultra High-Field MRI Synthesis. 1-4 - Junlai Qiu, Yunzhu Chen, Jiaqi Zhao, Yawen Huang, Fubo Wang, Yuexiang Li:
Lasagna-U-Net: Revisiting U-Shape Architecture for Histopathology Image Segmentation. 1-4 - Malek Al Abed, Sebiha Demir, Anne Groteklaes, Elodie Germani, Shahrooz Faghihroohi, Hemmen Sabir, Shadi Albarqouni:
MRIQT: Physics-Aware Diffusion Model for Image Quality Transfer in Neonatal Ultra-Low-Field MRI. 1-5 - Jyun-Ping Kao, Shinyeong Rho, Shahar Lazarev, Hyun-Hae Cho, Fangxu Xing, Taehoon Shin, C.-C. Jay Kuo, Jonghye Woo:
Cross-Modal Fine-Tuning of 3D Convolutional Foundation Models for ADHD Classification with Low-Rank Adaptation. 1-4 - Chengzhi Cao, Min Xu:
Exploring Intrinsic Hierarchical Organization for Medical Diagnosis. 1-5 - Haojie Song, Xiaojun Guan, Ao Zhang, Xiaojie Duanmu, Zihao Zhu, Jiaqiang Li, Ronglin Zhang, Yujiao Zhang, Peng Yang, Tianfu Wang, Xiaojun Xu, Baiying Lei:
Cross-Modal Graph Attention Network for Parkinson's Disease Diagnosis. 1-4 - Junfeng Liu, Ziyu Yang, Qian Wang, Zhongmin Wang, Wei Huang, Jun Shi:
Mamba-Based Conical UNet for Metal Artifact Reduction of CT Images in Visceral Artery Aneurysms. 1-4 - Marius Dubosc, Yann Fischer, Zacharie Auray, Nicolas Boutry, Edwin Carlinet, Michael Atlan, Thierry Géraud:
Improving Segmentation of Retinal Arteries and Veins Using Cardiac Signal in Doppler Holograms. 1-5 - Youshen Xiao, Yiling Shi, Ruixi Sun, Yuyao Zhang, Fei Gao:
Reconstruction of Absorption Coefficients for Quantitative Photoacoustic Tomography with Unsupervised Neural Representation. 1-5 - Soma Dasgupta, Swarnava Dey, Avik Ghose, Arijit Mukherjee, Arpan Pal:
Morphogenetic Field Loss for Unified Medical Image Segmentation. 1-5 - Tao Wen, Ziquan Wei, Tingting Dan, Felix A. Kyere, Ian Curtin, Jason L. Stein, Guorong Wu:
Image Imputation for Real-World Defective Microscopy Images of Mouse Brains. 1-4 - Chenghao Xue, Yifei Bai, Yuanning Li, Dake He, Lin Xu:
RTFGM-Net: A Deep Learning Model for Auto-Detection of Hypsarrhythmia EEG in West Syndrome. 1-4 - Kareem K. Badawy, Noha Ghatwary, Sherine Nagy Saleh:
Multi-Task Ensemble Learning for Endoscopic Ulcerative Colitis Severity Grading. 1-4 - Yixuan Zhang, Qing Xu, Yue Li, Xiangjian He, Qian Zhang, Mainul Haque, Rong Qu, Wenting Duan, Zhen Chen:
Freqdino: Frequency-Guided Adaptation for Generalized Boundary-Aware Ultrasound Image Segmentation. 1-5 - Ryan Holman, Tiago Oliviera, Stecia-Marie P. Fletcher, Allison Payne, Nathan McDannold:
An in Silico Study of Low-Intensity Focused Ultrasound Displacement Mapping with a 220 Khz Clinical Phased-Array Transducer. 1-4 - Ha-Hieu Pham, Hai-Dang Nguyen, Thanh-Huy Nguyen, Min Xu, Ulas Bagci, Trung-Nghia Le, Huy-Hieu Pham:
Handling Supervision Scarcity in Chest X-Ray Classification: Long-Tailed and Zero-Shot Learning. 1-4 - Kesi Xu, Eleni Chiou, Laura Acqualagna, Nasir M. Rajpoot:
Tissue Aware Nuclei Detection and Classification Model for Histopathology Images. 1-5 - Petros Koutsouvelis, Matej Gazda, Leroy Volmer, Sina Amirrajab, Kamil Barbierik, Branislav Setlák, Jakub Gazda, Peter Drotár:
Large-Scale Modality-Invariant Foundation Models for Brain Mri Analysis: Application to Lesion Segmentation. 1-4 - Diego Bravo, Daniel Wolf, Juan Hurtado-Tobar, Martín Gómez, Eduardo Romero:
When Vision-Language Models Look but Don't See: Anatomical Bias in Endoscopic Spatial Reasoning. 1-5 - Mahesh Raveendranatha Panicker, Rudra Sainatha, Gopika Gopikrishnan, Somashekhar Dehury:
Uncertainty-Guided Multi-Task Consistency for Semi-Supervised Carotid Plaque Segmentation and Vulnerability Assessment. 1-4 - Pratyush Prasad, Swapnil Bhat, Sadaf Siddiqui, Siddharth Bhatt, Mrinal Mallya, Ankush K. Somvanshi, Deval Mehta, Kshitij S. Jadhav:
Fine-Tuning of Diffusion Models Using Perceptual-DPO for Generation of Biologically Accurate Medical Image. 1-5 - Ali Farki, Elaheh Moradi, Deepika Koundal, Jussi Tohka:
Forecasting Future Anatomies: Longitudinal Brain MRI-TO-MRI Prediction. 1-5 - Ali Khalife, Mohammad Alkhatib, Erol Ozgur, Emmanuel Buc, Bertrand Le Roy, Youcef Mezouar, Adrien Bartoli:
Radiomics LUS Transformer for Liver Tumour Segmentation. 1-4 - Laura Valeria Perez-Herrera, María Jesús García-González, Exen Lopez-Linares:
Attention-Based Multiple Instance Learning for Predominant Growth Pattern Prediction in Lung Adenocarcinoma WSI Using Foundation Models. 1-5 - Yixiong Chen, Zongwei Zhou, Wenxuan Li, Alan L. Yuille:
Large-Scale Label Quality Assessment for Medical Segmentation Via a Vision-Language Judge and Synthetic Data. 1-5 - Md Rashik Shahriar Akash, Ramazan Aygun, Mahmut Karakaya:
Evaluating Transferability of Fundus-Trained Deep Models to Mobile Retinal Imaging for Diabetic Retinopathy Detection. 1-4 - Prabhav Sanga, Jaskaran Singh, Tapabrata Chakraborti:
Ultrasharp: Beltrami Transformers for Ultrasound Super-Resolution. 1-5 - Jared Vicory, Dzenan Zukic, Balázs Vágvölgyi, Peter Kazanzides, Andinet Enquobahrie, Emad Boctor:
Segmentation From Partial Views Via Patient-Specific Shape Priors. 1-4 - Zhen Zhou, Jian Li, Jonathan Williams, Bruce Fischl, Iman Aganj:
Deep-Learning Cortical Registration Guided by Structural and Diffusion MRI and Connectivity. 1-5 - Wenpei Liu, Leshui Dong, Zhihan Zhang, Xinyang Liu, Yulin Sun, Runnan He, Xiuyun Liu, Dong Ming:
YOLO-US: A Unified Multi-Task Foundation Framework for Generalist Ultrasound Image Analysis. 1-5 - Prantik Deb, Srimanth Dhondy, N. Ramakrishna, Anu Kapoor, Raju S. Bapi, Tapabrata Chakraborti:
ADALORA-QAT: Adaptive Low Rank and Quantization Aware Segmentation. 1-4 - Meher Niger, Artem T. Ashitkov, Athira Pillai, Joshua D. Wythe, Guoning Chen, David Mayerich:
A Scalable and Modular Pipeline for Synthesizing and Reconstructing Biological Networks. 1-5 - Feng Lu, Chenfan Xu, Jiacheng Sun, Chi Zhang, Min Zhu, Zhiming Cui, Dinggang Shen:
End-to-End Mandibular Reconstruction with Integrated Repositioning and Completion Networks. 1-5 - Dinglun He, Baoming Zhang, Xu Wang, Yao Hao, Deshan Yang, Ye Duan:
PIVM: Diffusion-Based Prior-Integrated Variation Modeling for Anatomically Precise Abdominal CT Synthesis. 1-5 - Jihyeon Baek, Seunghoon Lee, Gitaek Kwon, Doohyun Park:
A Comparative Study of Machine Learning and Deep Learning for Out-of-Distribution Detection. 1-5 - Lina Felsner, Henriette Bast, Tina Dorosti, Florian Schaff, Franz Pfeiffer, Daniela Pfeiffer, Julia A. Schnabel:
Uncertainty-Guided Generation of Dark-Field Radiographs. 1-5 - Kountay Dwivedi, Amirreza Mahbod, Rupert Ecker, Klara Janjic:
A Multimodal Cross-Attention Pathotranscriptome Integration for Enhanced Survival Prediction of Oral Squamous Cell Carcinoma. 1-5 - Juno Cho, Dohui Kim, Mingeon Kim, Hyunseo Jang, Chang Sun Lee, Jong Chul Ye:
CXR-LT 2026 Challenge: Projection-Aware Multi-Label and Zero-Shot Chest X-Ray Classification. 1-4 - Iman Islam, Bram Ruijsink, Andrew J. Reader, Andrew P. King:
Detecting and Refurbishing Ground Truth Errors During Training of Deep Learning-Based Echocardiography Segmentation Models. 1-5 - Efe Ilicak, Baris Imre, Chloé Najac, Ruben van den Broek, Beatrice Lena, Andrew Webb, Marius Staring:
Physics-Guided Dual-Domain Network with Attention-Based Fusion for Portable MRI Reconstruction. 1-4 - Vi Vu, Thanh-Huy Nguyen, Tien-Thinh Nguyen, Ba-Thinh Lam, Hoang-Thien Nguyen, Tianyang Wang, Xingjian Li, Min Xu:
From Specialist to Generalist: Unlocking Sam's Learning Potential on Unlabeled Medical Images. 1-5 - Jiaxu Jiang, Sen Lei, Heng-Chao Li:
Enhancing Sam Prompt Generation with DINOv3 Representations for Referring Medical Image Segmentation. 1-4 - Ming Cai, Tianpeng Deng, Jing Li, Zaiyi Liu, Ying Wang, Guoqiang Han, Chu Han:
Federated Learning with Layer-Wise Contribution Estimation and Consensus-Based Parameter Personalization for Medical Image Classification. 1-5 - Samuel Gussman-Toh, Wei-Chung Cheng, Nicholas Petrick, Feng Yang:
Assessing AI Polyp Detection Delay Using Tracklets. 1-4 - Rodrigo Medellin-Robles, Flavio Alfonso Juárez-Castro, Mohammad A. Bukhari:
Hybrid Resnet-Unetr for Semi-Supervised Fetal Cardiac Segmentation and CHD Classification. 1-5 - Jia-Xian Jian, Shih-Chih Lin, Wei-Chieh Sun:
Robust Pediatric Brain Tumor Segmentation: Evaluating Modality Importance and Resilience in Missing-Modality Scenarios. 1-4 - Tianmu Hu, Chenxuan Wang, Tingting Dan, Guorong Wu:
A Physics-Informed and Mechanistically-Grounded Deep Learning Framework for Revealing Altered Structurefunction Coupling in Neurodegenerative Diseases. 1-5 - Kengo Takahashi, Yuwen Zeng, Kei Ichiji, Zhang Zhang, Haoyang Liu, Issei Yoshizumi, Ryusei Inamori, Takuma Usuzaki, Noriyasu Homma:
Potential of Masked Vision Transformer for Predicting Macrovascular Invasion on Liver CT Images: Graph-Based Association Analysis of Attention Heads. 1-5 - Yaokai Yang, Nan Zhao, Zeyu Zhang, Jing Zhang, Lu Zhang:
Brain-CLIP: An Individual-Preserving Contrastive Framework for Bidirectional Cross-Modal Brain Connectome Translation. 1-5 - Peijie Jiang, Long Lei, Shaolin Lu, Yuanyuan Yang, Lihai Zhang, Zheng Li, Pheng-Ann Heng, Ying Hu:
Unsupervised X-Ray-to-DRR Translation with Structural Enhancement for Efficient X-Ray-to-CT Registration. 1-5 - Abhishek Rathore, Arnav Bhavsar:
Multi-View EEG-to-Image Generation via Wasserstein Distance-Guided Adversarial Feature Alignment. 1-5 - Yubin Ge, Yongsong Huang, Xiaofeng Liu:
Multimodal MRI Report Findings Supervised Brain Lesion Segmentation with Substructures. 1-4 - Swati Kochhar, Nishchala Thakur, Katja Heilmann, Lejla Colic, Laith Hamid, Tara Chand, Martin Walter, Veronika Engert, Deepti R. Bathula:
Personalized Stress Detection Through Reinforcement Learning Based Domain Adaptation. 1-4 - Jules-Victor Lepinay, Oscar Morand, Élodie Puybareau:
Spooky Vascular Skeletons: A Study of Skeletonization Algorithms and their Evaluation on 2D Vascular Datasets. 1-5 - Gyanateet Dutta, Aya Hammad, Thomas Archer, Qi Dou, Noor Mohammed, Sharib Ali:
Self-Supervised Vision Transformer for Surgical Phase Recognition in Endoscopic Submucosal Dissection. 1-5 - Melika Qahqaie, Dominik Neumann, Tobias Heimann, Andreas K. Maier, Veronika A. Zimmer:
Unbalanced Optimal Transport for Robust Longitudinal Lesion Evolution with Registration-Aware and Appearance-Guided Priors. 1-4 - Yi Man, Ziye Ma, Yimeng Li:
Reconstruction Algorithm Based on Multi-Harmonic Feature Fusion and Enhanced U-Net for Low-Concentration Magnetic Particle Imaging. 1-4 - Changqing Wu, Chuang Liang, Tülay Adali, Rongtao Jiang, Daoqiang Zhang, Vince D. Calhoun, Shile Qi:
Multi-Branch and Multi-Task Learning Framework for Autism Diagnosis with Modality Incomplete Data. 1-4 - Robert Chandler, Sakib Ahammed, Moi Hoon Yap, Xinqi Fan:
UCMoLE: Cluster-Routed Mixture of Low-Rank Experts for Endoscopic Ulcerative Colitis Captioning. 1-5 - Chaoguang Gong, Yue Hu, Lixian Zou, Peng Li, Zhilang Qiu, Shuo Zhou, Xingyang Wu, Zhanqi Hu, Xiaoyan Wang, Haifeng Wang:
Dictionary-Free MR Fingerprinting via Implicit Neural Representation. 1-4 - Suyeon Kwak, Ji-Hye Oh, Chang-Hoon Ji, Yu-Kyum Kang, Jaeyong Chang, Tae-Eui Kam:
Brain Topology-Driven Graph Structure Learning for Functional Brain Network-Based Major Depressive Disorder Diagnosis. 1-5 - Sewook Oh, Junmo Kwon, Jonghun Kim, Sunghun Kim, Sinyoung Ra, Hyunjin Park:
DYSC-CCA: Dynamic Similarity-Constrained Canonical Correlation Analysis for Multimodal Alzheimer's Diagnosis. 1-5 - Xiaofan Wang, Junyi Wang, Yuqian Chen, Lauren J. O'Donnell, Fan Zhang:
Bridging Modalities: Joint Synthesis and Registration Framework for Aligning Diffusion MRI with T1-Weighted Images. 1-5 - Adson Duarte, Davide Vitturini, Emanuele Milillo, Andrea Bragagnolo, Carlo Alberto Barbano, Riccardo Renzulli, Michele Cannito, Federico Giacobbe, Francesco Bruno, Ovidio De Filippo, Fabrizio D'Ascenzo, Marco Grangetto:
Cardiac Output Prediction From Echocardiograms: Self-Supervised Learning with Limited Data. 1-4 - Xiaoshu Luo, Yitian Tao, Zihao Zhu, Chen Xie, Kaidong Wang, Yanhao Wang, Gaofeng Wu, Han Zhang:
Generation of Infant Brain fMRI Functional Connectivity from Asynchronous EEG Recording with Identity Consistency. 1-5 - Gautam Rajendrakumar Gare, Tom Fox, Peter Lowery, Kevin Zamora, Hai V. Tran, Beam Chansangavej, Laura Hutchins, David Montgomery, Amita Krishnan, Deva Ramanan, Ricardo Rodriguez, Bennett P. deBoisblanc, John M. Galeotti:
Human-Aligned Learning of Interpretable Biomarkers for Lung Ultrasound Diagnosis. 1-5 - Anhela Francees, Peter Shmerko, Pedram Mojabi, Roberto Souza, Svetlana N. Yanushkevich, Elise C. Fear:
Classifying Breast Composition by Applying Deep Learning to Microwave Images: A Feasibility Study. 1-4 - Juliana Mantebea Danso, Enoch Opanin Gyamfi, Byron Gao, Mylène C. Q. Farias:
An Ensemble Graph-Based Deep Learning Framework Integrating Phenotypic and fMRI Data for Autism Classification. 1-5 - Mélanie Champendal, Théo Coutaudier, Daphné Faist, Maeva Ryser, Joshua D. Schaefferkoetter, Maurizio Conti, Mario Jreige, Adrien Depeursinge, Lluis Borras Ferris, Cláudia Sá dos Reis, John O. Prior, Henning Müller, Ricardo Ribeiro:
Multi-Method Explainability for Similarity Assessment in AI-Denoised PET Imaging. 1-4 - Honghui Li:
Hybrid-Projection with Subspace Recycling for Sequential and Limited-Angle CT: A Training-Free Baseline for Biomedical Imaging. 1-5 - Seungjoon Rho, Junho Yeo, Jinwon Choi, Kanghyun Kim, Jong Chul Ye:
Cross-Harmonic MPI Restoration via Generative Models. 1-4 - Nikomidisz Eftimiu, Michal Kozubek:
Comprehensive Attention Networks for Cell Segmentation Using Numerical Integration. 1-5 - Guillermo Rey-Paniagua, Dariusz Lachowski, Arrate Muñoz-Barrutia:
NAFNet-GAN: An Adversarial Framework for Supervised Fluorescence Microscopy Denoising. 1-5 - Daniele Falcetta, Liane S. Canas, Lorenzo Suppa, Matteo Pentassuglia, Jon O. Cleary, Marc Modat, Sébastien Ourselin, Maria A. Zuluaga:
An Automated Framework for Large-Scale Graph-Based Cerebrovascular Analysis. 1-5 - Jiakai Deng, Peiliang Gong, Qi Zhu, Yang Shao, Xuhao Cao, Kun Wang, Liying Zhang, Daoqiang Zhang:
ST-Mamba: Dual-Branch State-Space Modeling for EEG Motor Imagery Decoding. 1-5 - Chen Ma, Yunshu Li, Junhu Fu, Shuyu Liang, Yuanyuan Wang, Yi Guo:
Unified Ultrasound Intelligence Toward an End-to-End Agentic System. 1-5 - Shijia Zhang, Xiyu Ding, Brian Caffo, Junyu Chen, Xinyi Zhang, Hadi Kharrazi, Zheyu Wang:
Cross-Attention Fusion of Structural and Deformation-Based Mri Features for Alzheimer's Disease Classification. 1-5 - Pouya Afshin, David S. Helminiak, Tianling Niu, Julie Jorns, Tina Yen, Bing Yu, Dong Hye Ye:
Self-Learned Representation-Guided Latent Diffusion Model for Breast Cancer Classification in Deep Ultraviolet Whole Surface Images. 1-5 - Aymen Sadraoui, Astrid Laurent-Bellue, Mounir Kaaniche, Amel Benazza-Benyahia, Catherine Guettier, Jean-Christophe Pesquet:
A Proximal Approach for Stain Separation and Normalization of Whole-Slide Histopathological Images. 1-5 - Masashi Tahara, Kazuya Nishimura, Shumpei Takezaki, Ryoma Bise:
Bridging the Density GAP: Diffusion Model for Stepwise Generation of Dense Cell Images from Sparse Data. 1-5 - Xuan Liu, Xuhui Wang, Sigang Yu, Huawen Hu, Shu Zhang:
DDRT: Decoding the Dynamic Interaction of Hierarchical Brain Hubs Using Reinforcement Learning in Task fMRI. 1-5 - Zhongliang Liu, Wenxuan Wu, Sijin Yu, Zhuoyan Dai, Xin Zhang:
Two-Stage Cortical Surface Reconstruction from MRI with Arbitrary Slice Thickness. 1-5 - Yee-Fan Tan, Jun Lin Liow, Pei-Sze Tan, Fuad Noman, Raphaël C.-W. Phan, Hernando Ombao, Chee-Ming Ting:
SFC-GAN: A Generative Adversarial Network for Brain Functional and Structural Connectome Translation. 1-5 - Max A. Nelson, Elif Keles, Eminenur Sen Tasci, Merve Yazol, Halil Ertugrul Aktas, Ziliang Hong, Andrea Mia Bejar, Gorkem Durak, Oznur Leman Boyunaga, Ulas Bagci:
Upstream Probabilistic Meta-Imputation for Multimodal Pediatric Pancreatitis Classification. 1-5 - Ankita Joshi, Ashutosh Sharma, Anoushkrit Goel, Ranjeet Ranjan Jha, Chirag Ahuja, Arnav Bhavsar, Aditya Nigam:
Tractrlfusion: A GPT-Based Multi-Critic Policy Fusion Framework for Fiber Tractography. 1-5 - Sukhpal Singh, Husanbir Singh Pannu, Poonam Saini:
SpectroXAI: Quantitative Explainability Consistency for EEG-Based Spectrogram Imaging in Alzheimer's Disease Classification. 1-4 - Chang Wang, Wenxuan Zou, Guangxing Zhou, Xun Zhang, Yang Jing, Yu An, Weihua Li, Zhenchao Tang, Jie Tian:
SAMF-Net: Low-Concentration MPI Reconstruction with Segmentation-Assisted Attention and Multi-Harmonic Fusion. 1-5 - Sahar Moradizeyveh, Ambreen Hanif, Ghasem Azemi, Lija George, Amin Beheshti, Antonio Di Ieva:
Explainable Brain Tumor Detection with Eye Fixation Density Map Alignment. 1-4 - Junqin Luo, Yuxing Wei, Lei Du, Ming Wu, Jiaqiang Li, Cheng Zhao, Xinhua Yin, Tianfu Wang, Baiying Lei:
DPANet: Dual-Path Prior-Guided Attention Network for Few-Shot Intravascular Ultrasound Segmentation. 1-4 - Chris Kang, Vibujithan Vigneshwaran, Nils D. Forkert:
Riva Cytology Classification and Detection: A Lesson on How "None of Us is as Smart as All of Us". 1-4 - Junying Li, Qingyang Hou, Kaifeng Pang, Qi Miao, Alex Ling Yu Hung, Elif Aygun, Shu-Fu Shih, Qing Dai, Holden H. Wu, Kyunghyun Sung:
CoDe: A Self-Supervised Consistency Model Framework for MRI Denoising. 1-5 - Giovanni Casari, Federico Bolelli, Costantino Grana:
Histological Brain Imaging Super-Resolution with Frequency-Guided Diffusion Models. 1-5 - Satrajit Chakrabarty, Sourya Sengupta, Gopal Avinash, Ravi Soni:
Synthetic Volumetric Data Generation Enables Zero-Shot Generalization of Foundation Models in 3D Medical Image Segmentation. 1-5 - Younes Moussaoui, Diana Mateus, Lukmán El Hadi, Saïd Moussaoui, Simon Stute, Nasrin Taheri:
SPINR: Self-Supervised Pet Reconstruction Using Implicit Neural Representations. 1-5 - Sanskar Amgain, Prashant Shrestha, Bidur Khanal, Alina Devkota, Yash Raj Shrestha, Sengryul Baek, Prashnna K. Gyawali, Binod Bhattarai:
Local $K$-Similarity Constraint for Medical Federated Learning with Label Noise. 1-5 - Seth Alain Chang, Muhammad Mueez Amjad, Noorul Wahab, Ethar Alzaid, Nasir M. Rajpoot, Adam Shephard:
Synergy Vs. Noise: Performance-Guided Multimodal Fusion for Biochemical Recurrence-Free Survival in Prostate Cancer. 1-5 - Ahmed AL Qurri, Mohammad Sabih, Mohamed Almekkawy:
RWKVFUSE: Parallel Encoders Network for Medical Image Segmentation. 1-5 - Zihao Lin, Yuan Li, Zisheng Wang, Qiulei Yao, Jun Chen, Shishi Shu, Maurizio S. Tonetti, Guohua Cao:
Dual-Domain Diffusion Priors and Image Fusion-Based Model for Metal Artifact Reduction in Clinical Dental CBCT Images. 1-4 - Soufiane Jhilal, Stéphanie Martin, Anne-Lise Giraud:
Transfer Learning from Imagenet for Meg-Based Decoding of Imagined Speech. 1-5 - Jiawen Li, Jiali Hu, Qiehe Sun, Xitong Ling, Yuxuan Chen, Renao Yan, Tian Guan, Anjia Han, Chao He, Yonghong He:
Rethinking Slide-Level Adaptation of Pathology Foundation Models. 1-5 - Sidi Mohamed Sid El Moctar, Achraf Ait Laydi, Yousef El Mourabit, Hélène Bouvrais:
MTFlow: Time-Conditioned Flow Matching for Microtubule Segmentation in Noisy Microscopy Images. 1-5 - Nivetha Jayakumar, Jonathan Pan, Shuo Wang, Bishow Paudel, Nisha Hosadurg, Cristiane C. Singulane, Sivam Bhatt, Amit R. Patel, Miaomiao Zhang:
Curriculum-Guided Myocardial Scar Segmentation for Ischemic and Non-Ischemic Cardiomyopathy. 1-5 - Jana Armouti, Nikhil Madaan, Rohan Panda, Tom Fox, Laura Hutchins, Amita Krishnan, Ricardo Luis Rodriguez, Bennett P. deBoisblanc, Deva Ramanan, John M. Galeotti, Gautam Rajendrakumar Gare:
Learner: Contrastive Pretraining for Learning Fine-Grained Patient Progression From Coarse Inter-Patient Labels. 1-5 - Jamalia Sultana, Ruwen Qin, Zhaozheng Yin:
Radgaze-LLM: Anatomical Region-Grounded Radiology Report Generation via Learning From Expert Gaze. 1-5 - Zexi Li, Bin Li, Yang Hu, Jens Rittscher, Clare Verrill:
Distilling Knowledge from Multiple Foundation Models for Accurate and Efficient Spatial Gene Expression Prediction. 1-4 - Mohamed El Amine Elforaici, Feryel Azzi, Dominique Trudel, Bich Nguyen, An Tang, Simon Turcotte, Samuel Kadoury:
Latent Diffusion-Based Visual-Textual Fusion for Survival and Recurrence Prediction of Colorectal Liver Metastases. 1-5 - Soyini Alexander, Pauline John, Azhar Zam:
High-Resolution Label-Free Imaging of Neuro-Cancer Cell Interaction in a 3D Microfluidic Device using Optical Coherence Tomography. 1-4 - Changsuk Oh, Kaifeng Pang, Ricky Savjani, Kyunghyun Sung:
Beyond Zero-Filled Mask: Inpainting Quality Enhancement via Neural Implicit Guidance Prior. 1-5 - Duc T. Nguyen, Hoang-Long Nguyen, Huy-Hieu Pham:
Synergizing Deep Learning and Biological Heuristics for Extreme Long-Tail White Blood Cell Classification. 1-4 - Haowen Xiao, Danyang Chen, Ziqian Guan, Xiangcheng Bao, Fangnan Xie, Jiarui Zhu, Jiayin Liang, Binqian Zou, Jiali Guan, Yanrui Lu, Chongyi Wang, Yuting Wang, Fukang Ge, Lin Gu, Jinhao Bi, Jun He, Yingying Zhu:
Toward Efficient End-to-End VEM Processing Using a Unified Agent on GPUs and NPUs. 1-5 - Fangyijie Wang, Siteng Ma, Guénolé C. M. Silvestre, Kathleen M. Curran:
Entropy-Guided Agreement-Diversity: A Semi-Supervised Active Learning Framework for Fetal Head Segmentation in Ultrasound. 1-5 - Ka Pik Lee, Terumi Umematsu, Yousuke Takemura:
Depression Detection Using Face Videos from Clinical Interviews. 1-5 - Hengjia Ran, Yuxuan Lin, Huafeng Liu, Bo Zhao:
Bayesian Pet Reconstruction with Learned Normalizing Flow Priors. 1-5 - Racim Menasria, Julien Laval, Denis Rivière, Jessica Dubois, Jean-François Mangin, Joël Chavas:
Right Collateral Sulcus Morphology Correlates With Receptive Communication in Preterm Born Adolescents and Neonates. 1-5 - Helena Montenegro, Jaime S. Cardoso:
Segmentation-Based Image Manipulation for Interactive Counterfactual Explanations in Medical Image Analysis. 1-5 - Qiaochu Zhao, Wei Wei, David Horowitz, Richard Bakst, Yading Yuan:
Foundation Model-Guided Iteratively Prompting and Pseudo-Labeling for Partially Labeled Medical Image Segmentation. 1-5 - Jun Zhu, Mingzhe Wei, Yue Li, Min Guo, Huafeng Liu:
Imaging-Formation-Guided Implicit Neural Representation for Multi-View Fusion in Light-Sheet Microscopy. 1-4 - Kavindya Imbulgoda, Ruwan B. Tennakoon, Steven Korevaar, Weiqin Chuah, Alireza Bab-Hadiashar:
Improving Fairness in Vision Language Models for Medical Applications via Max Deviation Penalty. 1-5 - Mathumetha Palani, Kavya Puthumana, Ayantika Das, Ganapathy Krishnamurthi:
Diffusion Autoencoder for Unsupervised Artifact Restoration in Handheld Fundus Images. 1-5 - Iraj Shroff, Yuyan Ge, René Vidal:
SonoYOLO + MedSAM2: A Pipeline for Automatic Detection and Segmentation of Regions of Interest in Cardiac Ultrasound Videos. 1-5 - Lei Zhang, Zihuang Wu, Xinyu Xiong, Ming Li, Guanbin Li:
BEFNet: Boundary-Enhanced Fusion Network for Early Esophageal Cancer Segmentation. 1-4 - Lokesha Rasanjalee, Jin Lin Tan, Dileepa Pitawela, Rajvinder Singh, Hsiang-Ting Chen:
Understanding Annotation Error Propagation and Learning an Adaptive Policy for Expert Intervention in Barrett's Video Segmentation. 1-5 - Peeyush Kumar Singh, Inam Ul Haq Gulzar, Sneha Singh, Aditya Nigam, Pankaj Gupta:
Cross-Modal Brain Mri Synthesis Via Contrastive Disentanglement and Conditional Diffusion. 1-4 - Liuyun Jiang, Yanchao Zhang, Jinyue Guo, Yizhuo Lu, Ruining Zhou, Hua Han:
Diffusion Model-Based Data Augmentation for Enhanced Neuron Segmentation. 1-5 - Fangyijie Wang, Guénolé C. M. Silvestre, Kathleen M. Curran:
Dual Agreement Consistency Learning with Foundation Models for Semi-Supervised Fetal Heart Ultrasound Segmentation and Diagnosis. 1-4 - Youssef Haouchat, Sepand Kashani, Aleix Boquet-Pujadas, Philippe Thévenaz, Michael Unser:
SplineSplat: 3D Ray Tracing for Higher-Quality Tomography. 1-5 - Clément Cosserat, Lucas Gois, Emilie Chouzenoux, Vince D. Calhoun, Tülay Adali:
How Important are Inter-Dataset Interactions for Large Scale Analysis of FMRI Data: A Multi-Dimensional Comparison. 1-5 - Eytan Kats, Mattias P. Heinrich:
Effective Feature Learning for 3D Medical Registration via Domain-Specialized DINO Pretraining. 1-5 - Xiangyu Li, Chenglin Wang, Qiantong Shen, Fanding Li, Wei Wang, Kuanquan Wang, Yi Shen, Baochun Zhao, Gongning Luo:
PCA-Enhanced Probabilistic U-Net for Effective Ambiguous Medical Image Segmentation. 1-5 - Tristan Manneville, Raphael Reme, Jean-Christophe Olivo-Marin, Thibault Lagache:
Biological Object Segmentation on Video Data Using Optical Flow-Guided Temporal Consistency. 1-5 - Tianyi Ding, Hongli Chen, Yang Gao, Feng Liu, Martijn A. Cloos, Hongfu Sun:
Adaptive Gate-Aware Mamba Networks for Magnetic Resonance Fingerprinting. 1-4 - Fuyao Chen, Yuexi Du, Eléonore V. Lieffrig, Nicha C. Dvornek, John A. Onofrey:
EQUI-ViT: Rotational Equivariant Vision Transformer for Robust Histopathology Analysis. 1-5 - Yushen Liu, Yanfu Zhang, Xugui Zhou:
Integrating Neural Differential Forecasting with Safe Reinforcement Learning for Blood Glucose Regulation. 1-5 - N. Shikhli, A. Brelot, Jean-Christophe Olivo-Marin, Thibault Lagache, Giacomo Nardi:
Dynamics Segmentation of Single Particle Trajectories Based on Recurrent Learning. 1-4 - Jinhua Liu, Wen Tang, Yongsheng Shi, Dongjin Huang:
Semantic-Aware 3D Polyp Segmentation in Dynamic Endoscopy Scenes. 1-4 - Nishchal Sapkota, Haoyan Shi, Yejia Zhang, Xianshi Ma, Bofang Zheng, Fabian Vazquez, Pengfei Gu, Danny Z. Chen:
When Swin Transformer Meets KANs: An Improved Transformer Architecture for Medical Image Segmentation. 1-5 - Jing Zhang, Yanjun Lyu, Chao Cao, Minheng Chen, Tong Chen, Li Su, Tianming Liu, Dajiang Zhu:
Integrating Population and Individual Brain Network with Mixture-of-Experts for Mild Cognitive Impairment Study. 1-4 - Jayant Mahawar, Angshuman Paul:
DBCoreset: A Density-Based Coreset Algorithm for Computationally Efficient Chest X-Ray Diagnosis. 1-5 - Anoushkrit Goel, Simroop Singh, Ankita Joshi, Ranjeet Ranjan Jha, Chirag Ahuja, Aditya Nigam, Arnav Bhavsar:
TrackletGPT: A Language-Like GPT Framework for White Matter Tract Segmentation. 1-4 - Anonymous Authors:
Beyond AUROC: Evaluating Temporal Stability, False-Positive Load, and Uncertainty Calibration in Capsule Endoscopy Video AI. 1-4 - Jiachen Wang, Jonathan I. Tamir, Adam Bush:
Analyzing Model Misspecification in Quantitative MRI: Application to Perfusion ASL. 1-5 - Jinlong He, Kang Li, Guotai Wang:
REAF: a Region-Enhanced Volume-Slice Hierarchical Attention Fusion Vision-Language Model for CT-Report Retrieval. 1-5 - Juntao Chen, Pengxiao Xu, Li Lin, Pujin Cheng, Xiaoying Tang:
Annotation-Free Cerebrovascular Segmentation: A Synthetic Data Paradigm for TOF-MRA Segmentation. 1-5 - Lennart Maack, Julia-Kristin Graß, Lisa-Marie Toscha, Nathaniel Melling, Alexander Schlaefer:
Distilling Expert Surgical Knowledge: How to Train Local Surgical VLMs for Anatomy Explanation in Complete Mesocolic Excision. 1-4 - Gopika Gopikrishna, Mahesh Raveendranatha Panicke, Timothy Li, Aik Beng Ng, Simon Chong-Wee Se:
Adapt: Multibeamformer with Tunable Weight Fusion and Patch-Wise Learning for Ultrasound Imaging. 1-4 - Vanessa H. Yu, Edward Chen, Jürgen Germann, Alexandre Boutet, Andres M. Lozano, Kâmil Uludag, Sriranga Kashyap:
DBS-ElecNet: Automated Localization and Segmentation of DBS Electrodes in Clinical MRI. 1-4 - Guil Jung, SeokHwan Oh, Hyeon-Jik Lee, Myeong-Gee Kim, Young-Min Kim, Sang-Yun Kim, Jungjae Son, Hyuksool Kwon, Hyeon-Min Bae:
Optical Flow-Guided Echocardiography Label Augmentation for the Segment Anything Model. 1-5 - Ashwini Subramanian, Siwei Mai, Jiazhen Hong, Laleh Najafizadeh:
Neural Dynamics of Time Perception Under Acute Pain: An Auditory Temporal Bisection Study. 1-5 - Francisco Filho, Kelvin Cunha, Fábio Papais, Emanoel dos Santos, Rodrigo Mota, Thales Bezerra, Érico Medeiros, Paulo Borba, Tsang Ing Ren:
DERMAE: Improving Skin Lesion Classification Through Conditioned Latent Diffusion and MAE Distillation. 1-4 - Muhammad Hassan Maqsood, Yanming Zhu, Alfred Lam, Getamesay Haile Dagnaw, Xuefei Yin, Alan Wee-Chung Liew:
Prompt-Free Lightweight Sam Adaptation for Histopathology Nuclei Segmentation with Strong Cross-Dataset Generalization. 1-5 - Juan A. Olmos, Antoine Manzanera, Fabio Martínez:
A Geometric Multimodal Foundation Model Integrating BP-MRI and Clinical Reports in Prostate Cancer Classification. 1-4 - Qihua Chen, Xuejin Chen:
Morphology-Embedded Graph Optimization for EM Neuron Tracing. 1-4 - Jose Rojas-Cancino, Belén Bravo-Kunz, Clemente Soza, Jacinta Blanco, Benjamin Landeta, Alberto B. Osorio, Nicolás E. Seguel, Carlos Milovic, Pablo Irarrazaval, Cristian Tejos:
Boost: A B0 Optimization Shimming Technique for Halbach-Based MRI Scanners. 1-4 - Sadman Sakib, Mohamed Elsharkawy, Moumen T. El-Melegy, Asem M. Ali, Mohammed Ghazal, Fatma Taher, Ayman El-Baz:
Deep Learning-Based DR Screening from Oct Using Layer-Aware Thickness and Texture Maps. 1-4 - Zi Yang, Zengxing Li, Qingchen Liu, Kun Wang, Yu Fu:
UniUltra: A Unified Foundation Model for Universal Ultrasound Analysis. 1-4 - Javier Hernandez-Rubia, Candela Chinchilla-Sicilia, Blanca Rodriguez-Gonzalez, Alireza Sadeghi-Tarakameh, Yigitcan Eryaman, Sydney N. Williams, Angel Torrado-Carvajal:
Deep Diffusion Models for Subject-Specific Sar Estimation in 10.5 T Magnetic Resonance Imaging. 1-4 - Saswata Bose, Suvadeep Maiti, Shivam Kumar Sharma, S. Mythirayee, Tapabrata Chakraborti, Srijitesh Rajendran, Raju S. Bapi:
AI Generalisation Gap in Comorbid Sleep Disorder Staging. 1-4 - Siddharth Srivastava, Cornelis J. Weijer, Till Bretschneider:
High-Quality Synthetic Annotated Tissue Data Using Conditional Generative Adversarial Networks. 1-5 - Kevin Ian Ruiz Vargas, Gabriel G. Galdino, Tsang Ing Ren, Alexandre Cunha:
Single Tensor Cell Segmentation Using Scalar Field Representations. 1-5 - Md Ishtyaq Mahmud, Veena Kochat, Suresh Satpati, Jagan Mohan Reddy Dwarampudi, Humaira Anzum, Kunal Rai, Tania Banerjee:
hSNMF: Hybrid Spatially Regularized NMF for Image-Derived Spatial Transcriptomics. 1-5 - Keli Niu, He Zhao, Qianhui Men:
Structure-Augmented Standard Plane Detection with Temporal Aggregation in Blind-Sweep Fetal Ultrasound. 1-5 - Zhenzhen Wang, Zhongliang Zhou, Zhuoyu Wen, Jeong Hwan Kook, John B. Wojcik, John Kang:
DiffusionQC: Artifact Detection and Quality Control in Histopathology Images via Diffusion Model. 1-5 - Chengzhe Zhang, Yu Xie, Zhonghua Wan, Tenglong Wang, Ye Wu:
AutoATQ: Automating Along-Tract Quantification Without Tractography. 1-4 - Yixue Feng, Julio E. Villalon-Reina, Iyad Ba Gari, Jonathan Davis Alibrando, Talia M. Nir, Neda Jahanshad, Bramsh Qamar Chandio, Paul M. Thompson:
Evaluating Sample-Size Efficiency and Sensitivity of Tractometry in Alzheimer's Disease. 1-5 - Haytham A. Ali, Hiroyuki Kudo:
PCDS-GAN: Physics-Constrained Dual-Stage Generative Model with Adaptive Gating for Ultra Sparse-View CT Reconstruction. 1-4 - Po-Kai Chiu, Hung-Hsuan Chen:
From Volumes to Slices: Computationally Efficient Contrastive Learning for Sequential Abdominal CT Analysis. 1-4 - Hongxu Yang, Levente Lippenszky, Edina Timko, Lehel Ferenczi, Gopal Avinash:
Low Performing Pixel Correction in Computed Tomography with Unrolled Network and Synthetic Data Training. 1-5 - Xue Wu, Chengxu Pan, Lin Chen, Chengjia Liu, Weifang Zhu:
MMC-Net: A Novel Deep Learning Architecture for Myopic Maculopathy Classification with Hierarchical Attention Mechanisms. 1-4 - Remi Chierchia, Léo Lebrat, David Ahmedt-Aristizabal, Yulia Arzhaeva, Olivier Salvado, Clinton Fookes, Rodrigo Santa Cruz:
Multi-View Consistent Wound Segmentation with Neural Fields. 1-5 - Qixin Hu, Yixing Wu, Mate Levente Nagy, Hwan Dong, C.-C. Jay Kuo:
Eosinophil Counting with Green Learning. 1-5 - Mohammad Daouk, Hien Van Nguyen, Chandra Mohan, Jan Ulrich Becker, Neeraja Kambham, Anthony Chang:
Shortcut Learning in Glomerular AI: Adversarial Penalties Hurt, Entropy Helps. 1-4 - Sina Raeisadigh, Myles Joshua Toledo Tan, Henning Müller, Abderrahmane Hedjoudje:
Comparing Baseline and Day-1 Diffusion MRI Using Multimodal Deep Embeddings for Stroke Outcome Prediction. 1-5 - Ying He, Marc E. Miquel, Qianni Zhang:
Bridging Foundation and Domain-Specific Models for Semi-Supervised Medical Image Segmentation. 1-5 - Maxime Amodei, Raphaël Marée, Pierre Geurts:
Optimal Transport with Foundation Models for Multi-Stain CBIR in Digital Pathology. 1-5 - Kerong Zhou:
Dual-Domain Hierarchical Adversarial Learning for Semi-Supervised Multi-View Fetal Cardiac Ultrasound Segmentation and Disease Classification. 1-5 - Gen Shi, Tao Zhu, Zhaoji Miao:
CLEAR-MPI: Concentration Level Enhancement and Recovery in Magnetic Particle Imaging Reconstruction. 1-5 - Tharun Kumar Jayaprakash, Ye Tian, Jedrzej Golebka, Royce W. S. Chen, Yu Gan, Kaveri A. Thakoor:
Conditional Diffusion Model Optimization for Real-Time Point-of-Care Image-Quality Enhancement on Nvidia Jetson Orin Nano. 1-5 - Gabriel Ansah, Eden Ruffell, Delmiro Fernandez-Reyes, Petru Manescu:
Morphfed: Federated Learning for Cross-Institutional Blood Morphology Analysis. 1-5 - A. Vergara-Richart, C. Martín Vicario, G. Urbanos García, Angel Alberich-Bayarri, Ana Jimenez-Pastor:
Graphtrack: Automated Longitudinal Lesion Tracking in Ct Via Local-Global Reasoning With Contrastive and Graph Learning. 1-4 - Elyssa M. McMaster, Gaurav Rudravaram, Michael E. Kim, Trent M. Schwartz, Chloe Scholten, Jongyeon Yoon, Adam M. Saunders, Andre T. S. Hucke, Karthik Ramadass, Emily M. Harriott, Steven L. Meisler, Simon N. Vandekar, Allen T. Newton, Seth A. Smith, Saikat Sengupta, Kathryn L. Humphreys, Sarah Osmundson, Daniel Moyer, Laurie E. Cutting, Bennett A. Landman:
Harmonization Mitigates Diffusion MRI Scanner Effects in Infancy: Insights From the Healthy Brain and Child Development (HBCD) Study. 1-4 - Yaxuan Jiao, Qing Xu, Yuxiang Luo, Xiangjian He, Zhen Chen, Wenting Duan:
TM-UNet: Token-Memory Enhanced Sequential Modeling for Efficient Medical Image Segmentation. 1-5 - Valiyeh Ansarian Nezhad, Tolga Çukur:
Physics-Informed Spatial-Scaling Transformer for Accelerated MRI Reconstruction. 1-5 - Cristobal Mendoza, Nabil Vindas, Joël Chavas, Julien Laval, Antoine Dufournet, Pamela Guevara, Vincent Frouin, Denis Rivière, Jean-François Mangin:
Detecting Rare Cortical Connectivity Around the Human Central Sulcus: A Deep Learning Analysis of 37,000+ Tractographies. 1-5 - Haotian Yan, Bocheng Guo, Jianzhong He, Nir A. Sochen, Ofer Pasternak, Lauren J. O'Donnell, Fan Zhang:
A Novel Dual-Stream Framework for dMRI Tractography Streamline Classification with Joint dMRI and fMRI Data. 1-5 - Aishik Konwer, Moinak Bhattacharya, Prateek Prasanna:
Gaze2Report: Radiology Report Generation via Visual-Gaze Prompt Tuning of LLMs. 1-5 - Chao Cao, Tong Chen, Nan Zhao, Minheng Chen, Michael Qu, Zeyu Zhang, Xiao Shi, Xiang Li, Tianming Liu, Lu Zhang:
Gyral-Sulcal-Net: an Integrated Network Representation of Brain Folding Patterns. 1-5 - Li Xue, Weikang Gu, Jiaming Yu, Xuemei Qiu, Tao Wu, Lifang Wei:
OpenEEG: Uncertainty-Aware Open Set Learning for EEG-Based Brain Disorders Diagnosis. 1-5 - Jiaxin Liu, Songxiang Xu, Yihuan Xu, Ying Chi:
Deepsrs: Enhancing Stimulated Raman Scattering Imaging Through Multi-Stage Deep Learning for Super-Resolution and Denoising. 1-5 - Muzammal Shafique, Nasir Rahim, Jamil Ahmad, Mohammad-Reza Siadat, Khalid Mahmood Malik, Ghaus M. Malik:
FocusSDF: Boundary-Aware Learning for Medical Image Segmentation via Signed Distance Supervision. 1-5 - Chloé Soormally, Clément Beitone, Jocelyne Troccaz, Sandrine Voros:
Attention-Based Tracking of Ultrasound Frames for Prostate Biopsy Navigation Using a Zonal Representation. 1-5 - Zhuoyan Dai, Wenxuan Wu, Sijin Yu, Mingjin Chen, Zhongliang Liu, Xin Zhang:
STU-Net: A Hybrid CNN-Transformer Architecture for Spherical Cortical Surface Registration. 1-5 - Zhifan Jiang, Dong Yang, Vishwesh Nath, Abhijeet Parida, Nishad Kulkarni, Ziyue Xu, Daguang Xu, Syed Muhammad Anwar, Holger R. Roth, Marius George Linguraru:
LUMEN: Longitudinal Multi-Modal Radiology Model for Prognosis and Diagnosis. 1-5 - Jingqi Lu, Keqi Han, Yun Wang, Lu Mi, Carl Yang:
A Benchmark Analysis of Graph and Non-Graph Methods for Caenorhabditis Elegans Neuron Classification. 1-5 - Haotian Jiang, Mengjie Xu, Manman Fei, Zelin Liu, Lichi Zhang, Qian Wang:
Benchmarking Detectors for the RIVA Cervical Cytology Challenge. 1-4 - Shiqi Huang, Yipei Wang, Natasha Thorley, Alexander Ng, Shaheer U. Saeed, Mark Emberton, Shonit Punwani, Veeru Kasivisvanathan, Dean C. Barratt, Daniel C. Alexander, Yipeng Hu:
Understanding the Transfer Limits of Vision Foundation Models. 1-5 - Jisu Kim, SeokHwan Oh, Hyeon-Min Bae:
TAR-Diff: Diffusion-Based Ultrasound Video Generation for Medical Diagnosis with Temporal Attention Residuals. 1-5 - Fan Xiao, Zirui Chen, Jilan Xu, Junlin Hou:
Foundation Model Enhanced Hierarchical Learning for White Blood Cell Classification. 1-4 - Priyanka Rana, Xingnan Li, Tuba N. Gide, Nurudeen A Adegoke, Yizhe Mao, James S. Wilmott, Sidong Liu:
Image Quality Assessment of Imputation-Induced Biomarker Distortions in Multiplex Immunofluorescence. 1-5 - Roee Kattaby, Ari Leshno, Nir Avisar, Gal Yaakov Cohen, Ye Tian, Kaveri A. Thakoor, Lior Wolf:
Modeling Structure-Function Discordance in Glaucoma Visual Field Analysis. 1-5 - Xuhui Feng, Chengkai He, Yuya Onishi, Ryosuke Ota, Huafeng Liu:
Universal RL-INR: A Batch-Trained Implicit Neural Representation for Unsupervised Temporal Deconvolution in TOF-PET. 1-4 - Hao Long, Na Deng, Dongni Hou, Wenyu Xing:
Intelligent Diagnosis of Chronic Obstructive Pulmonary Disease by Integrating CT Segmentation and Multi-Dimensional Representations. 1-4 - Jieying Zhou, Chaoqun Fu, Ting Sun, Yuhan Wang, Ao Jin, Zhihai Su, Hai Lu, Shumao Pang:
Spinesynnet: Synthesis of Thin-Slice Spinal MR Images by a View-Prompt Elastic Deformation Network with Anatomical Constraint. 1-5 - Seunghee Yoo, Junghyo Sohn, Kwanseok Oh, Heung-Il Suk:
SAM-TXD: SAM with Text-Guided Diffusion for Refined Medical Image Segmentation. 1-5 - Hassan Imani, Niladri Das, Iain B. Styles:
A Unified Transformer Architecture for 3D MSI-H&E Fusion. 1-5 - Walid Mohamed, Ibrahim Abdelhalim, Tayseer Hassan, Amr M. AbdelAziz, Mohammed Badawy, Moumen T. El-Melegy, Asem M. Ali, Ali Mahmoud, Fatma Taher, Mohammed Ghazal, Sohail Contractor, Ayman El-Baz:
A Multimodal Deep Learning Framework for Prostate Cancer Risk Prediction Integrating Biparametric MRI, Radiology Reports, and Clinical Biomarkers. 1-4 - Yijie Zhu, Ayesha Azam, Ibrahim Alsanie, Ricardo Marques, Syed Ali Khurram, Shan-E-Ahmed Raza:
Joint Multiscale Image Learning for Segmentation in Macroscopic and Microscopic Pathology Images. 1-5 - Shimeng Wang, Shuwen Wei, Samuel W. Remedios, Jinwei Zhang, Blake E. Dewey, Ari M. Blitz, Mark G. Luciano, Aaron Carass, Jerry L. Prince:
VAID: Valve Artifact Inpainting for Normal Pressure Hydrocephalus from a 3D MRI Diffusion Model. 1-5 - Luis Amador, Eric Van Reeth, Marylène Lejeune, Marion Foare, Hélène Ratiney:
Variational Reference-Free Multicontrast Super Resolution for MRI. 1-4 - Aya Elgebaly, Nikolaos Delopoulos, Juliane Hörner-Rieber, Carolin Rippke, Sebastian Klüter, Luca Boldrini, Lorenzo Placidi, Riccardo Dal Bello, Nicolaus Andratschke, Michael Baumgartl, Claus Belka, Christopher Kurz, Guillaume Landry, Shadi Albarqouni:
ProSona: Prompt-Guided Personalization for Multi-Expert Medical Image Segmentation. 1-5 - Moo K. Chung, Luigi Maccotta, Aaron F. Struck:
Counterfactual Analysis of Brain Dynamics. 1-5 - Marius Winter, Lena Kiefer, Bin Yang, Fabian Bamberg, Fritz Schick:
MR-Derived Skeletal Muscle Features as Predictors of Diabetes Risk in the German National Cohort. 1-5 - An Hoang Nguyen, Fung Fung Ting, Bao Quoc Vuong, Chee-Ming Ting:
Mitres-UNet: A Hybrid Encoder Framework with Evolutionary Feature Selection for Intracranial Aneurysm Detection. 1-5 - Yizhou Fang, Jian Zhong, Li Lin, Xiaoying Tang:
LUMOS: Universal Semi-Supervised Oct Retinal Layer Segmentation with Hierarchical Reliable Mutual Learning. 1-5 - Guojun Du, Zihan Wang, Huafeng Liu:
Deep Learning for Cardiac TMP Imaging: A Physics-Informed Data Augmentation Approach. 1-4 - Mohammad Z. Atwany, Mojtaba Lashgari, Abhirup Banerjee:
Feature Invariance Via Interpretable Ablation for Single-Source Domain Generalization in X-Ray Angiography Segmentation. 1-5 - Hyung S. Roh, Noah Capp, Daniel T. Ohm, David J. Irwin, James C. Gee, Min Chen:
NEUSEG: Interpretable Unsupervised GM/WM Segmentation in Brain Histopathology Using Nuclei Morphometrics. 1-5 - Suresh Guttikonda, Maximilian Neidhardt, Vidas Raudonis, Alexander Schlaefer:
6D Robotic OCT Scanning of Curved Tissue Surfaces. 1-6 - Lin Jin, Yu Wang, Peiyin Chen, Chenglin Liu:
Hyper-DSCNet: Integrating Radiographic Details and Syndromic Context with Hypergraph Learning for Chest X-Ray Detection. 1-4 - Zhengkang Fan, Chengkun Sun, Russell Stevens Terry, Jie Xu, Longin Jan Latecki:
Enhancing Renal Tumor Malignancy Prediction: Deep Learning with Automatic 3D CT Organ Focused Attention. 1-5 - Farwa Abbas, Wei Dai, Zoran Cvetkovic, Verity M. McClelland:
Towards Causality-Aware Modeling for Multimodal Brain-Muscle Interactions. 1-4 - Rinku Sadh, Prabhat Ranjan, Angshuman Paul:
CAC-GAN: High-Fidelity Synthesis of MRI Sequences Using Contrast-Aware Cyclegan. 1-5 - Shikha Dubey, Patricia Raciti, Kristopher Standish, Albert Juan Ramon, Erik Ames Burlingame:
Fast, Unsupervised Framework for Registration Quality Assessment of Multi-Stain Histological Whole Slide Pairs. 1-5 - Vedatroyee Pal, Rajarshi Bandyopadhyay, Samarup Bhattacharya, Sanjoy Kumar Saha, Tapabrata Chakraborti:
Vision Foundation Models Pretrained on Skin Lesion Images Can Classify Oral Lesions Too! 1-5 - Vibujithan Vigneshwaran, Chris Kang, Nils D. Forkert:
A Cascaded Yolo-Based Framework for Robust Cervical Cell Detection in Pap Smear Images. 1-4 - Daniel Tweneboah Anyimadu, Mohammed M. Abdelsamea, Ahmed Karam Eldaly:
Direct Low-Field MRI Super-Resolution Using Undersampled K-Space. 1-4 - Yeonsoo Chung, Seung-Hyun Hong, Frank C. Nichols, David W. Rowe, Dong-Guk Shin:
Osteo-Net: Mask R-CNN Based Osteoclasts Detector. 1-5 - Satoshi Ito, Tomoki Sawai:
Efficient Complex-Valued MR Image Reconstruction Using a Real-Value Trained Conditional Diffusion Model. 1-5 - Yan Kong, Yuan Yin, Hongan Chen, Yuqi Fang, Caifeng Shan:
Center-Aware Detection with Swin-Based Co-DETR Framework for Cervical Cytology. 1-4 - Darshan Thaker, Mahmoud Mostapha, Radu Miron, Shihan Qiu, Mariappan S. Nadar:
Scale-Cascaded Diffusion Models for Super-Resolution in Medical Imaging. 1-4 - Yusuf Talha Basak, Mehmet Ozan Unal, Metin Ertas, Isa Yildirim:
Learnable Total Variation with Lambda Mapping for Low-Dose CT Denoising. 1-5 - Luc Bouteille, Alexander Jaus, Jens Kleesiek, Rainer Stiefelhagen, Lukas Heine:
Learning to Look Closer: A New Instance-Wise Loss for Small Cerebral Lesion Segmentation. 1-5 - Uxue Delaquintana-Aramendi, Leire Benito-Del-Valle, Aitor Alvarez-Gila, Javier Pascau, Luisa F. Sánchez-Peralta, Artzai Picón, José B. Pagador, Cristina López Saratxaga:
AI-Assisted Colonoscopy: Polyp Detection and Segmentation Using Foundation Models. 1-5 - Haoyu Wu, Yujie Sun, Zexuan Fan, Xiaowu Sun:
Semi-Supervised Learning for Congenital Heart Disease Prediction in Fetal Echocardiography. 1-4 - Wei Lou, Guanbin Li, Xiang Wan, Haofeng Li:
Selective Visual Program Reasoning in Whole-Slide Large Vision-Language Models. 1-5 - Ahmed Bouridane, Nabil Hezil, Rifat Hamoudi, Somaya Al-Máadeed, Oleg Y. Rogov:
Multi-Scale Attention Framework with Transformer Architecture for Explainable Chest X-Ray Report Generation. 1-4 - Yiheng Cao, Gustavo Andrade-Miranda, Jiatian Zhang, Guillaume Sallé, Xin Gao:
Temporally Consistent and Controllable Video Generation of 2D Cine CMR via Latent Space Motion Modeling. 1-4 - Kai Zhang, Dan Hu, Jiale Cheng, Shijie Huang, Weili Lin, Dinggang Shen, Gang Li:
Cortical Surface-Constrained Temporally Continuous Atlas Learning for Fetal Brain MRI. 1-5 - Zhanqiang Guo, Jianjiang Feng, Jie Zhou:
Cross-Domain Vessel Segmentation via Latent Similarity Mining and Iterative Co-Optimization. 1-5 - Hongshun Ling, Jinjing Wu, Shao Tong, Li Zhang:
A Unified Multi-Task Learning Framework for Ultrasound Image Analysis. 1-4 - Tenglong Wang, Zhonghua Wan, Yu Xie, Jiahao Yu, Yifei He, Ye Wu:
Synthesized Ultra-High B-Value Diffusion Images for Characterization of Neurite and Soma Organization. 1-4 - Caixia Dong, Duwei Dai, Yu Wang, Guowei Dai, Jiangbo Zhang, Wei Zeng:
ACE-Net: 3D VFM-CNN Fusion with Adaptive Covariance Eigen-Gate for Coronary Artery Segmentation. 1-5 - Yang Jing, Ruiyi Wang, Wenxuan Zou, Ziwei Chen, Zhenchao Tang, Jie Tian:
Bias-Field Rotation Encoding: Toward a Large-Aperture Magnetic Particle Imaging System. 1-5 - Nikhil N. Chaudhari, Nahian F. Chowdhury, Emily L. Dennis, Elisabeth A. Wilde, Andrei Irimia:
Synthesizing Brain Magnetic Resonance Images for Myelin Assessment. 1-5 - Hanjiang Zhu, Pedro Martelleto Rezende, Zhang Yang, Tong Ye, Bruce Z. Gao, Feng Luo, Siyu Huang, Jiancheng Yang:
Bonnet: Ultra-Fast Whole-Body Bone Segmentation from CT Scans. 1-4 - Jai Prakash Yadav Veerla, Partha Sai Guttikonda, Helen H. Shang, Mohammad Sadegh Nasr, César Torres, Jacob M. Luber:
Beyond the Monitor: Mixed Reality Visualization and Multimodal AI for Enhanced Digital Pathology Workflow. 1-5 - Md. Touisn Akhter, Harsh Chaurasia, Sachindra Joshi, Kshitij S. Jadhav:
Clinically Grounded Radiology Report Generation via Explanation-Guided Policy Optimization. 1-5 - Xueying Zhou, Jing Shi, Jun Du, Qian Wang, Jun Shi:
External Spatial Adapter Tuning: Memory-Efficient Adaptation of Foundation Model for Sddh Diagnosis with Ultrasound Images. 1-4 - Xingjian Zhang, Claire Leclech, Louison Blivet-Bailly, Abdul I. Barakat, Elsa D. Angelini:
Log Focal Frequency Loss for Bioimage Restoration. 1-5 - Lauriane Grondin-Reiher, Victor Patenaude, Valérie Gauvin, François Guibault, Lama Séoud:
Deep Learning Based Landmarks Detection for Positioning Assessment in Mammography. 1-5 - Jingxian Hu, Chuang Liang, Vince D. Calhoun, Shile Qi:
Cross-Domain Positive and Negative Syndrome Scale Associated Multimodal Brain Patterns in Schizophrenia. 1-4 - Souvik Phadikar, Martin P. Paulus, Rayus Kuplicki, Masaya Misaki, Vince D. Calhoun:
Dynamic Group Joint ICA (Dyna-gjICA) Uncovers Neural Mechanisms Underlying Depression with and without Anxiety. 1-4 - Ha Young Kim, Jun Li, Ana Beatriz Solana, Carolin M. Pirkl, Benedikt Wiestler, Julia A. Schnabel, Cosmin I. Bercea:
Learning to Reason About Rare Diseases Through Retrieval-Augmented Agents. 1-5 - Mengxuan Hu, Zihan Guan, John Kang, Sheng Li, Zhongliang Zhou:
Enhanced Diagnostic Performance Via Large-Resolution Inference Optimization for Pathology Foundation Models. 1-5 - Gauthier Miralles, Loïc Le Folgoc, Vincent Jugnon, Pietro Gori:
Unsupervised Domain Adaptation with Target-Only Margin Disparity Discrepancy. 1-5 - Gabriel Suc, Clarisse Fournier, Joachim Tabary, Andrea Brambilla:
A BI-OBJECTIVE BUDGETED SET-COVER FORMULATION FOR OPTIMISINGINVERSE-GEOMETRY X-RAY CT ARCHITECTURES. 1-4 - Jiacheng Wang, Hao Li, Xing Yao, Ahmad Toubasi, Taegan Vinarsky, Caroline Gheen, Joy Derwenskus, Chaoyang Jin, Richard Dortch, Junzhong Xu, Francesca Bagnato, Ipek Oguz:
Demist: Decoupled Multi-Stream Latent Diffusion for Quantitative Myelin Map Synthesis. 1-5 - Malini Shivaram, Gautam Rajendrakumar Gare, Laura Hutchins, Jacob Duplantis, Thomas Deiss, Thales Nogueira Gomes, Thong Tran, Keyur H. Patel, Krystal Kirby, Thomas H. Fox, Amita Krishnan, Deva Ramanan, Bennett P. deBoisblanc, Ricardo Luis Rodriguez, John M. Galeotti:
Label Uncertainty for Ultrasound Segmentation. 1-4 - Saqib Nazir, Ardhendu Behera:
Hybrid Inception-VIT Networks for Fine-Grained Single-Cell Image Classification. 1-5 - Fengyi Gao, Farnaz Rezvani, Yushui Han, Michael Kann, Nickolas Littlefield, Hilal Maradit Kremers, Adolph J. Yates, Johannes F. Plate, Ahmad P. Tafti:
Uncertainty-Quantified and Explainable Age- and Sex-Aware Contrastive Learning for Knee Osteoarthritis Classification. 1-5 - Prahlad Anand, Aaron Carass, Ellen M. Mowry, Scott D. Newsome, Jerry L. Prince, Blake E. Dewey:
DICOM-CLIP: Zero-Shot Acquisition Parameter Retrieval from Unprocessed Dicom Files. 1-5 - Zizhe Liu, Moshu Xu:
Expert Model Guided Visual Programming for Radiology Report Generation. 1-5 - Huu Tien Nguyen, Ahmed Karam Eldaly:
Low-Field Magnetic Resonance Image Quality Enhancement Using a Conditional Flow Matching Model. 1-4 - Adam McArthur, Abhilash Rakkunedeth Hareendranathan, Jacob L. Jaremko:
Intuitive Gradient Feedback: Continuous Ultrasound Scan Quality from Weak Expert Preferences for Probe Guidance. 1-4 - Guillaume Balezo, Etienne Decencière, Albert Pla Planas, Thomas Walter:
Benchmark of H&E-to-Mif Virtual Staining in Digital Pathology. 1-5 - Soham Lahiri, Priyanka Srivastava, Narinder Singh Punn, Bikash Santra:
Synthesizing Functional Insights from Structural MRI for Alzheimer's Detection Using Deep Correlation Multimodal Image Learning. 1-5 - Thomas Mendelson, Joshua Francois, Galit Lahav, Tammy Riklin Raviv:
Boundary-Aware Instance Segmentation in Microscopy Imaging. 1-5 - Anthony T. Wu, Arghavan Rezvani, Kela Liu, Roozbeh Houshyar, Pooya Khosravi, Whitney Li, Xiaohui Xie:
Benchmarking Deep Learning for Future Liver Remnant Segmentation in Colorectal Liver Metastasis. 1-4 - Talha Waqas, Mounir Lahlouh, Sébastien Mulé, Yasmina Chenoune-Leroul:
Anatomical Context Improves Multi-Class Liver Tumor Classification Under Severe Class Imbalance: A Statistical Validation Study. 1-5 - Jiyao Wang, Nicha C. Dvornek, Peiyu Duan, Andrew Marshall, Lawrence H. Staib, Jim Duncan:
Hyperbolic Model Aggregation for Federated Learning in fMRI. 1-5 - Xianhao Zhou, Jianghao Wu, Ku Zhao, Jinlong He, Huangxuan Zhao, Lei Chen, Shaoting Zhang, Guotai Wang:
DINOV3-Guided Cross Fusion Framework for Semantic-Aware CT Generation From MRI and CBCT. 1-5 - Lei Wang, Kexu Long, Changqin Yan, Bo Zhai, Kundong Mo, Feng Wei, Chenzi Wang:
A Semi-Supervised Cascaded Dual-Model Framework for Carotid Plaque Segmentation and Vulnerability Assessment. 1-5 - Peilun Song, Yaping Wang, Patrick C. M. Wong, Qihong Zou, Yating Lv, Xiujuan Geng:
The Impact of Local Perturbations on Large-Scale Neural Activity: An Empirical and Simulation Study. 1-4 - Md Nahiduzzaman, Steven Korevaar, Alireza Bab-Hadiashar, Ruwan B. Tennakoon:
Weakly Supervised Concept Learning with Class-Level Priors for Interpretable Medical Diagnosis. 1-5 - Tian Xia, Matthew Sinclair, Andreas Schuh, Fabio De Sousa Ribeiro, Raghav Mehta, Rajat Rasal, Esther Puyol-Antón, Samuel Gerber, Kersten Petersen, Michiel Schaap, Ben Glocker:
Positional Segmentor-Guided Counterfactual Fine-Tuning for Spatially Localized Image Synthesis. 1-5 - Pengfei Yun, Che Liu, Changde Du, Huiguang He, Dinggang Shen:
MFD: Modality-Aware Fusion of FMRI and MEG for Noninvasive Speech Decoding. 1-5 - Zhikai Yang, Junjie Hu, Félix Nieto-del-Amor, Guangyuan Li, Rodrigo Moreno:
Transformer-Based Foundation Model for Universal Ultrasound Image Analysis. 1-4 - Shuangyi Tan, Zhijia Liang, Ming Li, Sibei Yang, Zhen Li, Qingyun Mai, Guanbin Li:
ATRI-Net: A Multimodal and Multifocal Fusion Network for Embryo Euploidy Prediction. 1-5 - Shira Karmi, Galia Avidan, Tammy Riklin Raviv:
Decoding Functional Networks for Visual Categories via GNNs. 1-5 - Hexin Dong, Yi Lin, Pengyu Zhou, Xuan Zhong Feng, Alan Clint Legasto, Mingquan Lin, Hao Chen, Yuzhe Yang, George Shih, Yifan Peng:
Overview of the CXR-LT 2026 Challenge: Multi-Center Long-Tailed and Zero Shot Chest X-Ray Classification. 1-4 - Sterre de Jonge, Elisabeth J. Vinke, Meike W. Vernooij, Daniel C. Alexander, Alexandra L. Young, Esther E. Bron:
Disease Progression and Subtype Modeling for Combined Discrete and Continuous Input Data. 1-4 - Leandro Nascimento, Quentin François, Bertrand Duplat, Sinan Haliyo, Isabelle Bloch:
Image Synthesis and Transfer Learning for Estimating Multi-Modal Brain Registration Error. 1-5 - Xitong Ling, Xiaoxiao Li, Jiawen Li, Mingxi Fu, Yuxuan Chen, Jing Peng, Minxi Ouyang, Yizhi Wang, Yonghong He, Xiaoping Liu, Lianghui Zhu, Tian Guan:
Multimodal Distillation-Driven Ensemble Learning for Long-Tailed Histopathology Whole Slide Images Analysis. 1-5 - Chang Yuwen, Xuelian Cheng, Junrong Yang, Xin Wang, Juxi Leitner, Zongyuan Ge:
BVD: A Two-Stage Network for Identifying Bronchial Variation Types from CT Images. 1-5 - Xiaodi Li, Hongxu Li, Sining Hu, Shuangtong Shao, Chaoguang Gong, Zhaolin Chen, Yue Hu:
Frequency-Aware Spatiotemporal Modeling With Cross-Frequency Attention for Echocardiography Left Ventricle Segmentation. 1-4 - Shubham Mishra, Debapriya Roy, Sandeep Mathur, Bikash Santra:
Cross-Modal Image Learning for HER2 Status Detection From H&E Histopathology Images. 1-5 - Linhan Wang, Jianwen Dou, Wang Li, Shengkun Wang, Zhiwu Xie, Chang-Tien Lu, Yinlin Chen:
SemiETPicker: Fast and Label-Efficient Particle Picking for CryoET Tomography Using Semi-Supervised Learning. 1-5 - Vrushti Patel, Jayendra M. Bhalodiya:
U-Net with SSM-Inspired Gated Large-Receptive-Field Refinement for Fetal Abdomen Segmentation and Circumference Measurement Using Ultrasound Images. 1-4 - Chengbo Ding, Fenghe Tang, Shaohua Kevin Zhou:
Ucad: Uncertainty-Guided Contour-Aware Displacement for Semi-Supervised Medical Image Segmentation. 1-5 - Edoardo Paccagnella, Félix Nieto-del-Amor, Christoffer Olsson, Jingru Fu, Sarah Vandenbulcke, Sanna Persson, Mikael Skorpil, Per Svenningsson, Rodrigo Moreno:
Magnetic Resonance Elastography: Predicting Brain Stiffness in Parkinson's Disease Patients From Multidimensional Diffusion Mri. 1-4 - K. E. Giraldo Paniagua, Pierre-Henri Conze, Vincent Jaouen, E. Angelini:
Structure Preserving Adversarial Diffusion for Unpaired Medical Image Synthesis. 1-5 - Clara Cousteix, Nadège Singaye, Hang Jung Ling, Pierre-Yves Courand, Carole Frindel, Damien Garcia:
Deep Vortography: Intracardiac Vortex Analysis Using Color Doppler. 1-4 - Yinbing Tian, Ziyang Wang, Shibiao Xu, Li Guo:
KAN-OSD: Dino-Based Encoder and KAN-Based Decoders with Dual Contrastive Learning for One-Shot Anatomical Landmark Detection. 1-4 - Tuan-Anh Le, Anh Mai Vu, David Yang, Akash Awasthi, Hien Van Nguyen:
IMACT-CXR: An Interactive Multi-Agent Conversational Tutoring System for Chest X-Ray Interpretation. 1-4 - Baris U. Oguz, Xing Yao, Claudia Tawil, Alison M. Pouch, Brett C. Byram, Gabriel Arenas, Nadav Schwartz, Ipek Oguz:
Segmentation Confidence for Arbitrary CNNS. 1-5 - Jianfei Liu, Vivek Batheja, Perry J. Pickhardt, Peter C. Grayson, Ronald M. Summers:
Rethinking 3D Small Object Segmentation: Comparative Insights Between nnU-Net and Transformers. 1-5 - Rudra Sainatha, Mahesh Raveendranatha Panicker:
Adaptive Probe Geometry Estimation for High Frame Rate Imaging Using Flexible Ultrasound Arrays. 1-4 - Lei Zhang, Zihuang Wu, Xinyu Xiong, Ming Li, Guanbin Li:
SFENet: Shallow Feature Excitation for Retinal Vessel Segmentation. 1-4 - Shenghui Yan, Sidong Liu, Maurice Pagnucco, Yang Song:
Federated Few-Shot Segmentation for Rare Brain Tumours via Weighted Aggregation and Prototype-Guided Adaptation. 1-4 - Matt Y. Cheung, Tucker J. Netherton, Laurence E. Court, Ashok Veeraraghavan, Guha Balakrishnan:
Bias-Aware Conformal Prediction for Metric-Based Imaging Pipelines. 1-5 - Samiran Dey, Ruby Wood, Partha Basuchowdhuri, Sanjoy Kumar Saha, Tapabrata Chakraborti:
Uncertainty Quantification for Multimodal Generation in Cancer Ai. 1-5 - Farheen Ramzan, Yusuf Kiberu, Nikesh Jathanna, Meryem Jabrane, Vicente Grau, Shahnaz Jamil-Copley, Richard H. Clayton, Chen Chen:
Seeing Beyond the Image: ECG and Anatomical Knowledge-Guided Myocardial Scar Segmentation from Late Gadolinium-Enhanced Images. 1-5 - Tejas Sudharshan Mathai, Anisa V. Prasad, Xinya Wang, Praveen Thoppey Srinivasan Balamuralikrishna, Yan Zhuang, Abhinav Suri, Jianfei Liu, Perry J. Pickhardt, Ronald M. Summers:
Utility of Pancreas Surface Lobularity as a CT Biomarker for Opportunistic Screening of Type 2 Diabetes. 1-5 - Jagan Mohan Reddy Dwarampudi, Jennifer L. Purks, Joshua Wong, Renjie Hu, Tania Banerjee:
A Reproducible Framework for Bias-Resistant Machine Learning on Small-Sample Neuroimaging Data. 1-5 - Yuan Lin, Murong Xu, Marc Hölle, Chinmay Prabhakar, Andreas K. Maier, Vasileios Belagiannis, Bjoern Menze, Suprosanna Shit:
Progidiff: Prompt-Guided Diffusion-Based Medical Image Segmentation. 1-5 - Inam Ul Haq Gulzar, Peeyush Kumar Singh, Sneha Singh, Aditya Nigam, Pankaj Gupta:
Efficient 3D Attention for 3T to 7T Modality Conversion. 1-4 - Shengqi Chen, Yi Huang, Haoran Liu, Wenbo Liu, Tao Deng:
PnP-SAF: A Plug-and-Play Semantic-Attribute Fusion Framework for Data-Efficient Medical Image Diagnosis. 1-5 - Leah Heil, Ruben G. A. van der Waerden, Rick H. J. A. Volleberg, Jos Thannhauser, Joske L. van der Zande, Thijs J. Luttikholt, Pierandrea Cancian, Xiaojin Gu, Bram van Ginneken, Clarisa Sánchez Gutiérrez, Ivana Isgum, Niels van Royen, Simone Saitta:
Uncertainty Analysis in Intravascular Oct Segmentation. 1-5 - Yanteng Zhang, Songheng Li, Zeyu Shen, Qizhen Lan, Lipei Zhang, Yang Liu, Vince D. Calhoun:
Lost in Distortion: Uncovering the Domain Gap Between Computer Vision and Brain Imaging - a Study on Pretraining for Age Prediction. 1-4 - Taohui Xiao, Cheng Li, Wenxin Fan, Ruoyou Wu, Sheng Zhang, Enqing Dong, Qiegen Liu, Shanshan Wang:
MambaME: A Mamba-Based Framework for Efficient and Accurate Joint Microstructure Estimation from Diffusion MRI. 1-5 - Long Yang, Xiaoyin Chen, Bing Wang, Pengpeng Ou, Shaomin Niu, Peipei Zhang, Zeping Gao, Teng Ma:
Semi-Supervised Carotid Plaque Segmentation with Multi-Scale Deep Supervision and Consistency Learning for Multi-View Vulnerable Plaque Classification. 1-5 - Penghua Zhai, Weixin Xu, Ao Xiao, Xinran Jiang, Jie Tian, Wei Mu:
SFNet: Spatial-Frequency Collaborative Network for Fast System Matrix Calibration in Magnetic Particle Imaging. 1-5 - Deshan Kalupahana, Sonit Singh, Praveen Ravindran, Arcot Sowmya:
Preserving Anatomical Continuity: Three-Stage Pipeline for Colon Segmentation in 3D Abdominal CT Scans. 1-5 - Rocio Mexia Diaz, Yasmin Greenway, Petru Manescu:
Lesiontabe: Equitable AI for Skin Lesion Detection. 1-4 - Mahdi Saberi, Mehmet Akçakaya:
Revisiting MRI Reconstruction Using a Combination of Complex and Magnitude Measurements with Learned Priors. 1-5 - Luu Le, Hoang-Loc Cao, Ha-Hieu Pham, Thanh-Huy Nguyen, Ulas Bagci:
Robust White Blood Cell Classification With Stain-Normalized Decoupled Learning and Ensembling. 1-4 - Kengo Takahashi, Yuwen Zeng, Kei Ichiji, Zhang Zhang, Haoyang Liu, Ryusei Inamori, Takuma Usuzaki, Noriyasu Homma:
Vision Transformer for Breast Cancer Diagnosis: Layer-Wise Analyses Beyond Attention Mechanism. 1-5 - DongGyu Hwang, San Lee, Boah Kim:
Abdominal Cone-Beam CT Visual Quality Enhancement Using 2.5D Conditional Diffusion Model. 1-5 - Synne Hjertager Osenbroch, Lisa Ramona Rosvold, Yao Lu, Alvaro Fernandez-Quilez:
Neuropsychiatric Deviations from Normative Profiles: An MRI-Derived Marker for Early Alzheimer Disease Detection. 1-5 - Kaito Shiku, Ichika Seo, Tetsuya Matoba, Rissei Hino, Yasuhiro Nakano, Ryoma Bise:
Hypernetwork-Based Adaptive Aggregation for Multimodal Multiple-Instance Learning in Predicting Coronary Calcium Debulking. 1-5 - Nishanth Arun, Alexander D. Weston, Fatima Islam, Candice Bolan, Beau Toskich, Fernando Gil Lopez, John M. Galeotti:
Phase-Aware Vision Transformers Enable Prediction of Hepatocellular Carcinoma Recurrence After Liver Transplantation. 1-5 - Haydar Jammoul, Kilian Biasuz, Benjamin Gallean, Patrick Lemaire, Grégoire Malandain:
Predicting Cell Division Orientation in Ascidian Development. 1-4 - M. Cazzolla, A. Manchon, Mathieu Milh, Nadine Girard, Olivier Coulon, François Rousseau, Guillaume Auzias:
An Automated Pipeline for Processing and Analysis of Clinical Fetal Diffusion Mri. 1-4 - Guowei Dai, Caixia Dong, Jiangbo Zhang, Yu Wang, Duwei Dai:
Decomposing Pathological Features into Patho-Spatial Graphs for Skin Lesion Diagnosis. 1-5 - Linh N. N. Le, Evan Fletcher, Duygu Tosun, Jinyi Qi, Audrey P. Fan:
Predicting Longitudinal Brain Change from Baseline 3D MRI and Detecting Abnormal Atrophy Using Deep Learning. 1-5 - Saptarshi Mandal, Oindrila Haldar, Chandra Sekhar Seelamantula, Raghu Prasad:
Visualization Guided Retinal Fluid Segmentation of Optical Coherence Tomography B-Scans. 1-4 - Banhimitra Kundu, Chandra Sekhar Seelamantula, Chetan Singh Thakur:
A Point-of-Care Ultrasound System with Novel Nonlinear Beamformer for High-Resolution Imaging. 1-4 - Assam Albaqami, Mohammed Alnemari, Kaled Alotaibi, Abdullatef Alboalawi, Ibrahim Abdelhalim, Mohamed Elsharkawy:
LAPVT: Local Attention-Guided Pyramid Vision Transformers for Retinal Disease Classification. 1-5 - Gennaro Percannella, Mattia Sarno, Francesco Tortorella, Mario Vento:
Generalizing to Unseen Domains in Histopathology: A Multi-Task Learning Approach. 1-5 - Tingkwong Ng, Ruyi Dai, Hao Chen:
A Hierarchical Ensemble Inference Pipeline for Robust White Blood Cell Classification Under Domain Shifts. 1-4 - Gai Li, Ronglin Zhang, Jiaqiang Li, Zhenghua Guan, Yujiao Zhang, Peng Yang, Baiying Lei:
CGDA: Clip-Guided Cross-Modal Dual-Alignment Framework for Early Alzheimer's Diagnosis. 1-4 - Abhishek Ambast, Santosh Dudhabhate, Saikiran Bonthu, Nitin Singhal:
3D Modeling of Prostate Cancer Using Histological Radical Prostatectomy Specimens. 1-4 - Xin Xing, Irmak Karaca, Amir Akhavanrezayat, Samira Badrloo, Quan Dong Nguyen, Mahadevan Subramaniam:
MAE-SAM2: Mask Autoencoder-Enhanced SAM2 for Clinical Retinal Vascular Leakage Segmentation. 1-5 - K. E. Giraldo Paniagua, Pierre-Henri Conze, Vincent Jaouen, E. Angelini:
Adaptive Gradient Domain Normalization for One-Sided Unsupervised Medical Image Synthesis. 1-5 - Binyu Zhang, Kai Yang, Wei Shao:
Multi-Modal Domain Adaptation for Cancer Diagnosis via Integration of Pathological Images and Clinical Text Data. 1-5 - Xiangyu Li, Fanding Li, Yifan Liu, Wei Wang, Gongning Luo, Kuanquan Wang, Yi Shen, Baochun Zhao, Shuo Li:
Resdiff: Residual Diffusion Model for Conditional Distribution Learning in Medical Image Segmentation. 1-5 - Woohyun Jeong, Suhyun Ahn, Jinah Park:
Shape-Guided Self-Supervised Learning for Intracranial Aneurysm Segmentation. 1-5 - Jian Li, Fuxin Liang, Chen Zhang, Chi Kwan Lee, Sai Ho Ling:
MEA-YOLO: Medical Enhanced Attention YOLO for Simultaneous Polyp and Lumen Detection in Robotic Colonoscopy. 1-4 - Haoyi Wang:
Coordinative Learning with Ordinal and Relational Priors for Volumetric Medical Image Segmentation. 1-5 - Sébastien Poullot, Ezequiel Geremia, Vladimir Groza, Van-Khoa Le, Benjamin Renoust, Jean-Christophe Brisset, Benoit Huet, Valerie Bourdes, Jun Shen, Olivier Lucidarme:
Enhancing Early Liver Cancer Diagnosis: AI-Based Detection of Small Malignant Lesions on Contrast-Enhanced CT. 1-5 - Zhuangzhi Gao, Feixiang Zhou, He Zhao, Xiuju Chen, Xiaoxin Li, Qinkai Yu, Yitian Zhao, Alena Shantsila, Gregory Yoke Hong Lip, Eduard Shantsila, Yalin Zheng:
Leveraging Persistence Image to Enhance Robustness and Performance in Curvilinear Structure Segmentation. 1-5 - Daniel Z. Lao, Quncai Zou:
CRC-SAM: SAM-Based Multi-Modal Segmentation and Quantification of Colorectal Cancer in CT, Colonoscopy, and Histology Images. 1-4 - Seongkwon Yu, SeokHwan Oh, Yuqing Liang, Jimin Lee, Bumjun Koh, Hyeon-Min Bae:
A Multi-Modal Transformer for Ultrasound-Guided Diffuse Optical Tomography. 1-5 - Anwar Tesfaye Beshir, Arun Kumar Thittai:
A Novel Two-Stage Weighting Nonlinear Beamformer for PLD-Based Photoacoustic Imaging Systems: Initial Experimental Results. 1-4 - Thanh-Huy Nguyen, Hoang-Loc Cao, Dat T. Chung, Mai-Anh Vu, Thanh-Minh Nguyen, Minh Le, Phat K. Huynh, Ulas Bagci:
Scribble-Supervised Medical Image Segmentation With Dynamic Teacher Switching and Hierarchical Consistency. 1-5 - Yucheng Li, Xiaofan Wang, Junyi Wang, Yijie Li, Xi Zhu, Mubai Du, Dian Sheng, Wei Zhang, Fan Zhang:
BrainSegNet: A Novel Framework for Whole-Brain MRI Parcellation Enhanced by Large Models. 1-5 - Ranjana Roy Chowdhury, Deepti R. Bathula:
Meta-Guided Sampling for Improved Few-Shot Learning in Skin Cancer Classification. 1-4 - Yi Yu, Parker Martin, Zhenyu Bu, Yixuan Liu, Yi-Yu Zheng, Orlando P. Simonetti, Yuchi Han, Yuan Xue:
Uncertainty-Aware Structured Data Extraction from Full CMR Reports via Distilled LLMS. 1-5 - M. Giraud, H. Blanc, P. Mahou, G. Kaddour, C. Caporal, G. Le Dréau, Jean Livet, Emmanuel Beaurepaire, Anatole Chessel:
Self-Supervised Learning for Single Cell Large Scale Neuroimaging. 1-5 - Jonas Schumacher, Artyom Tsanda, Patricia Römer, Niklas Hackelberg, Tobias Knopp:
A Model-Based Reconstruction Approach to Field-Free Line Magnetic Particle Imaging. 1-4 - Quentin Bourbon, Elsa D. Angelini, Thomas Benseghir, Christophe Kervazo, Saïd Ladjal:
Distortion-Guided Learning for Opinion-Unaware No-Reference Image Quality Assessment in Low Dose CT. 1-5 - Malvika. Sridhar, Sir-Lord Wiafe, Bradley T. Baker, Vince D. Calhoun:
Functional Connectivity Alterations in Major Depressive Disorder. 1-4 - Keita Takeda, Tomoya Sakai:
Does Medical Specialization of VLMs Enhance Discriminative Power?: A Comprehensive Investigation Through Feature Distribution Analysis. 1-5 - Bhumika Adhya, Saptarshi Pani, Irina I. Shpakovskaya, Dmitry I. Kaplun, Ram Sarkar:
Segment Anything Model With Refined-Prompts for Multimodal Cross-Data Few-Shot Medical Image Segmentation. 1-4 - Badhan Mazumder, Lei Wu, Sir-Lord Wiafe, Vince D. Calhoun, Dong Hye Ye:
KOCOBrain: Kuramoto-Guided Graph Network for Uncovering Structure-Function Coupling in Adolescent Prenatal Drug Exposure. 1-5 - Ardhendu Sekhar, Vasu Soni, Keshav Aske, Shivam Madnoorkar, Pranav Jeevan, Amit Sethi:
Spatially-Aware Mixture of Experts with Log-Logistic Survival Modeling for Whole-Slide Images. 1-4 - Sergio Urrea, Adrian Basarab, Hervé Liebgott, Henry Arguello:
End-to-End Optimization of Sparse Ultrasound Linear Probes. 1-5 - Liwei Zhou, Zhangxing Bian, Jinwei Zhang, Blake E. Dewey, Shiv Saidha, Peter A. Calabresi, Aaron Carass, Jerry L. Prince:
A Pipeline for DTI Indices and Connectivity Analysis Applied to a Longitudinal Multiple Sclerosis Cohort. 1-5 - Merve Gülle, Junno Yun, Yasar Utku Alçalar, Mehmet Akçakaya:
Consistency Models for Fast MRI Using Regularization by Denoising. 1-5 - Tianyi Ren, Daniel Low, Pittra Jaengprajak, Juampablo Heras Rivera, Jacob Ruzevick, Mehmet Kurt:
Clinical Interpretability of Deep Learning Segmentation Through Shapley-Derived Agreement and Uncertainty Metrics. 1-5 - Chao Cao, Jiale Cheng, Minheng Chen, Jing Zhang, Tianming Liu, Lu Zhang, Dajiang Zhu, Gang Li:
Deep-GyralNet: Enabling Machine Learning in Gyral Folding Pattern Extraction on Cortical Surface. 1-5 - Kaiqi Qiang, Hongming Xu, Qibin Zhang, Chen Wu, Fengyu Cong, Haozhe Piao:
Toward Modality-Robust Brain Tumor Segmentation: Distilling Foundation Models for Incomplete Mri Scans. 1-4 - Dan Pan, Jin Lv, Huayu Huang, An Zeng:
Two-Stage 3D Coronary Artery Segmentation via Multi-View Attention and UA-Mamba Refinement. 1-5 - Katharine Brudkiewicz, Zhennan Xiao, Magdalena J. Sokolska, Joanna Chappell, Trevor Gaunt, Anna L. David, Rosalind Aughwane, Andrew Melbourne:
A Robust Multi-Stage Temporal Registration for Quantitative Analysis of 4D Multi-Parametric Fetal Lung MRI. 1-4 - Ajay Anand, Ajeesh Ajayan Nayaruparambil, Yue Zhao, Diane Dalecki, Müjdat Çetin:
Two-Dimensional Ultrasound Thermometry Using Peripheral Measurements and Learning-Based Inference for Tumor Ablation Monitoring. 1-5 - Qiudi He, Kai Zhao, Kaifeng Pang, Qi Miao, Sanghyeok Lim, Changsuk Oh, Alex Ling Yu Hung, Kyunghyun Sung:
HiMaC: Histogram-Driven and Mask-Aware Consistency Models for MRI Reconstruction. 1-5 - Mohamed T. Azam, Walid Mohamed, Khadiga M. Ali, Ahmed Aboudessouki, Hossam Magdy Balaha, Moumen T. El-Melegy, Asem M. Ali, Ali Mahmoud, Fatma Taher, Mohammed Ghazal, Dibson D. Gondim, Ayman El-Baz:
Deep Multimodal Integration of Whole Slide Images and Pathology Reports for Precise Estrogen Receptor Classification in Breast Cancer. 1-4 - Chenrui Li, Xuechen Zhang, Weichuan Yu:
Intensity Normalization Using Elastic Warping for FDG-PET Images. 1-5 - Haosen Liu, Edmund Y. Lam:
Leveraging Fourier Domain for Unsupervised Removal of Structured Noise in Fluorescence Microscopy Imaging. 1-4 - I. Hernández-Abad, Juan E. Ortuño, A. Mendoza, M. Gómez-Álvarez, A. Basterra-García, A. Ortiz-Ruiz, David Bermejo-Peláez, D. Brau-Queralt, A. Rodríguez-García, Nuria Díez, Monica Hernandez, Andrés Santos, C. Benavente, J. Martínez-López, María Linares, Miguel A. Luengo-Oroz, María J. Ledesma-Carbayo:
Unpaired Semantic-Preserving Virtual Perls Generation via Conditional Generative Models. 1-4 - Yuhan Shuai, Yixue Feng, Julio E. Villalon-Reina, Talia M. Nir, Sophia I. Thomopoulos, Paul M. Thompson, Bramsh Qamar Chandio:
Assessing the Influence of Tractography Methods on Detected White Matter Microstructure in Alzheimers Disease. 1-5 - Rizuki Oura, Koichi Ito, Takafumi Aoki:
SQET-MOE: Two-Stage Brain Age Estimation using Squeeze-and-Excitation Transformer and Mixture-of-Experts. 1-4 - Juhwan Lee, Justin Namuk Kim, Ammar Hoori, Luis A. P. Dallan, Gabriel T. R. Pereira, Bernardo Cortese, David L. Wilson:
Predicting Post-Stenting Outcomes Using Self-Supervised 3D Vision Transformers in Intravascular OCT. 1-4 - Connor Elkhill, Ines A. Cruz-Guerrero, David Khechoyan, Phuong D. Nguyen, Brooke French, Antonio R. Porras:
A Temporally Aware Transformer Model for Predicting Personalized Head Growth and Surgical Outcomes in Craniosynostosis. 1-4 - Yeonwoo Seo, Minjun Youn, Yihan Kim, Lynn Y. Kim, Beomsu Kim, Jong Chul Ye:
MAGNET: Mask Guided Network with EMA Teacher for Joint Carotid Segmentation and Plaque Classification. 1-4 - Xiaoyu Ji, Luyao Luo, Liyuan Zhang, He Fu, Yu Liu, Tao Liu, Pan Liu:
Safm-Cta: Segmentation-Augmented Foundation Model for CT-to-CTA Translation. 1-5 - Seungik Cho:
TopoGate: Quality-Aware Topology-Stabilized Gated Fusion for Longitudinal Low-Dose CT New-Lesion Prediction. 1-5 - Kleanthis Marios Papadopoulos, Nikolaos Giakoumoglou, Andreas Floros, Pier Luigi Dragotti, Tania Stathaki:
Expert Clustering and Knowledge Transfer for Whole Slide Image Classification. 1-5 - Robert Cronshaw, Konstantinos Vilouras, Junyu Yan, Yuning Du, Feng Chen, Steven McDonagh, Sotirios A. Tsaftaris:
CSEval: A Framework for Evaluating Clinical Semantics in Text-to-Image Generation. 1-5 - Margalit G. Mitzner, Moinak Bhattacharya, Zhilin Zou, Chao Chen, Prateek Prasanna:
Vessel-Aware Deep Learning for OCTA-Based Detection of AMD. 1-5 - Xiaoye Li, Shijie Huang, Yulin Wang, Zifeng Lian, Jiameng Liu, Kaicong Sun, Dinggang Shen:
A Unified Brain Extraction Framework Powered by Structure-Intensity Disentanglement-Based Data Augmentation. 1-5 - Juan A. Cisneros Jacome, Louis Rigal, Raphaël P. Martins, Solène-Florence Kammerer-Jacquet, Annegret E. Werner, Melvyn Dezecot, Loig Duverge, Renaud de Crevoisier, Julien Bellec, Antoine Simon:
Integration of Cardiac Histopathological and Imaging Data to Improve Understanding of Stereotactic Arrhythmia Radioablation. 1-4 - Aditya Parikh, Sneha Das, Aasa Feragen:
Investigating Label Bias and Representational Sources of Age-Related Disparities in Medical Segmentation. 1-5 - Ishani DasGupta, Nilanjan Ray, Kumaradevan Punithakumar:
Time-Embedding U-Net for Temporally Consistent Left Ventricular Segmentation in 3D Echocardiography. 1-5 - Nasrin Sheibani-Asl, Gregory J. Czarnota, Ali Sadeghi-Naini:
Generative AI for Overcoming Rf Data Inaccessibility in Quantitative Ultrasound Imaging. 1-4 - Mert Ikinci, Luna Toma, Karin U. Loeffler, Leticia Ussem, Daniela Süsskind, Julia M. Weller, Yousef Yeganeh, Martina C. Herwig-Carl, Shadi Albarqouni:
INTERACT-CMIL: Multi-Task Shared Learning and Inter-Task Consistency for Conjunctival Melanocytic Intraepithelial Lesion Grading. 1-5 - Jiani Lin, Zhiquan Situ, Guoxi Xie, Wu Zhou:
Structural Self-Supervision for Label-Free Aortic Dissection Triage on Non-Contrast CT. 1-5 - Coenraad Mouton, Randle Rabe, Niklas C. Koser, Nicolai R. Krekiehn, Christopher J. Hansen, Jan B. Hövener, Claus C. Glüer:
Useful Nonrobust Features are Ubiquitous in Biomedical Images. 1-5 - Nikhil J. Dhinagar, Chirag Jagad, Pavithra Senthilkumar, Sophia I. Thomopoulos, Mahir H. Khan, Sook-Lei Liew, Paul M. Thompson:
CALM-VLM: Calibration and Selective Prediction in Vision-Language Models for Reliable Brain MRI Classification. 1-5 - Antony M. Gitau, Martin Paulson, Bjørn-Jostein Singstad, Karl Thomas Hjelmervik, Ola Marius Lysaker, Veralia Gabriela Sánchez:
Multi-Stage Fine-Tuning of Pathology Foundation Models with Head-Diverse Ensembling for White Blood Cell Classification. 1-5 - Shiyi Wang, Yingying Fang, Yuxuan Li, Yang Nan, Simon Walsh, Guang Yang:
Illuminating Uncertainty: A Trifocal Fine-Grained and Transformer-Like Axial Attention Framework for Pulmonary Vascular Segmentation. 1-5 - Mahan Shafie, Alessandro Amaolo, Anna Fiorito, Davide Marnetto, Paul M. Thompson, Neda Jahanshad, Paolo Provero, Fabrizio Pizzagalli:
Genetic Correlations in Cortical Folding Mirror Functional Brain Networks. 1-4 - Francesca Saviola, Matilde Bisi, Asia Ferrari, J. Karolis Degutis, Stefano Tambalo, Michael V. Lombardo, Jorge Jovicich, Dimitri Van De Ville:
Human Brain Excitation-Inhibition Balance Through Fmri Dynamics: Estimators and in-Vivo Validation. 1-5 - Fengting Zhang, Yue He, Qinghao Liu, Yaonan Wang, Xiang Chen, Hang Zhang:
FMIR, A Foundation Model-Based Image Registration Framework for Robust Image Registration. 1-5 - Roberto Di Via, Vito Paolo Pastore, Francesca Odone, Siôn Glyn-Jones, Irina Voiculescu:
Automated Landmark Detection for Assessing Hip Conditions: A Cross-Modality Validation of Mri Versus X-Ray. 1-4 - Adapa Sunil Kumar, Kotiya Mohith Goud, Kamalaker Dadi, Raju S. Bapi:
Effectiveness of SAM for Conjunctiva Segmentation. 1-4 - Adam Smith, Till Bretschneider:
Sample-Based Training Data for Effective 3D Cell Segmentation. 1-5 - Ibrahim Altufayli, Massimiliano Ciranni, Carlo Alberto Barbano, Vittorio Murino, Vito Paolo Pastore:
A Pair-Weighing Strategy for Enhancing Clip Zero-Shot Classification for Chest X-Rays. 1-4 - Mihai Cosmin Claudiu:
Enhancing Multiple Sclerosis Lesion Detection: An in-Depth Comparison between 2D, 2.5D and 3D U-Net Architectures. 1-4 - Chunna Yang, Mengting Yang, Zhongwei Zhao, Yan Li, Nengwang Yu, Yipeng Hu, Zhe Min:
PROZONESAM2: Prostate Zonal Segmentation Using Sam2 and Gland-To-Zones Consistency Constraints. 1-5 - Javier G. Muñoz, Alejandro Ariza-Carrasco, Bárbara Díaz Cañadas, Jorge Fernandez-Cruza, Luis Elvira, Jorge Camacho, Joaquin L. Herraiz, José Manuel Udías, Alejandro Bertolet Reina, María Alonso de Leciñana, Jorge Rodriguez-Pardo, Eduardo Mariño Trillo, Fernando Laso-García, Paula Ibáñez, Mailyn Pérez-Liva:
Numerical Framework for Deep Learning Photoacoustics Image Reconstruction. 1-4 - Yuanhao Cai, Jiayi Zhang, Yinong Cui, Lin Yin, Xiaowei He, Hongbo Guo:
Explainable Variational Networks with Unrolled Gradient Descent for Magnetic Particle Imaging Reconstruction. 1-4 - Ziyang Zhu, Qi Zhang, Jia Gu, Runyang Jian, Chongyu Bao, Xuanke Zhang, Fengyong You:
Mssanet: Multi-Scale Self-Attention Mechanism Network for Polyp Segmentation. 1-5 - Fabian Vazquez, Jose Angel Nuñez, Diego Adame, Alissen Moreno, Augustin Zhan, Huimin Li, Jinghao Yang, Haoteng Tang, Bin Fu, Pengfei Gu:
Learning with Geometric Priors in U-Net Variants for Polyp Segmentation. 1-5 - Meilu Zhu, Yuxing Li, Zhiwei Wang, Edmund Y. Lam:
Personalized Federated Learning with Residual Fisher Information for Medical Image Segmentation. 1-4 - Muyang Li, Kang Li, Guotai Wang:
Training-Free One-Shot Medical Image Segmentation with SAM via Confidence and Consistency-Based Bidirectional Prompt Evolution. 1-5 - Satyaki Roy Chowdhury, Golrokh Mirzaei:
Variance-Penalized MC-Dropout as a Learned Smoothing Prior for Brain Tumour Segmentation. 1-5 - Kaan Sel, Roozbeh Jafari:
Physics-Informed Neural Networks with Embedded Shape Priors for Ultrasound Image Segmentation. 1-5 - Junmo Kwon, Sang Won Seo, Hwan-ho Cho, Hyunjin Park:
Identifying Optimal nnU-Net Configuration for Cerebral Microbleed Segmentation. 1-4 - N. Mansouri, Romain Bourcier, Florent Autrusseau:
Robust Circle of Willis ROI Extraction in MRA via Adaptive Landmark Detection. 1-5 - Anirudh S. Varrier, Santiago Alférez, Meritxell Riera-Marin, Jithin Velayudhan, Joan Sabria, O. K. Sikha:
Quantitative Evaluation of Explanation Quality in Fetal Ultrasound Quality Criterion Detection Using Saliency Maps. 1-5 - Nida Ruseckaite, Lucas Iijima, Dario Sesia, Amit Kaura, Helen Ayles, Kwame Shanaube, Veronica Mweemba, Joseph Ngulube, Isabel Banda, Anoop Shah, Jamil Mayet, Marcello Scopazzini, Choon Hwai Yap:
POCKETLV: A Point-of-Care Echocardiography Dataset for Deep Learning Image Processing of the Left Ventricle. 1-5 - Nuno Brás, Héloïse Castiglione, Jessica Rontard, Pierre-Antoine Vigneron, Anatole Chessel:
BrainOrg-QC: Automated Morphological Quality Control of Cerebral Organoids. 1-5 - Y. L. Lyndon Chan, Albert C. S. Chung:
Uncertainty-Guided Physics-Informed Image Registration for Brain Tumor MRI with Missing Correspondences. 1-5 - Sakib Ahammed, Robert Chandler, Moi Hoon Yap, Xinqi Fan:
Joint-Specialist Learning with Endoscopic Descriptor Guidance for Ulcerative Colitis Grading. 1-5 - Juan A. Cisneros Jacome, Louis Rigal, Renaud de Crevoisier, Raphaël P. Martins, Mathieu Lederlin, Melvyn Dezecot, Loig Duverge, Julien Bellec, Antoine Simon:
Synthetic Artifact Generation for Training of Mri Denoising Networks. 1-4 - Fan Xiao, Junlin Hou, Yiqian Xu, Ruiwei Zhao, Haidong Zou, Lina Lu, Yi Xu, Juzhao Zhang, Rui Feng:
Integrating Multi-Modal Fundus Photography for Precision Diagnosis in Ophthalmology. 1-5 - Pham Minh Tuan, Julien Wojak, Mouloud Adel, Eric Guedj, Nguyen Linh Trung:
Feature Aggregation for Alzheimer's Disease Diagnosis Using FDG-PET Images: The Potential of Graph-Based Methods. 1-4 - Roberto Pulvirenti, Oscar Alfonso Jiménez del Toro, Mattia Tomasoni, Florence Hoogewoud, André Anjos:
When Specialization Helps (and Hurts): Cross-Modality Transfer in Ophthalmic Imaging with Foundation Models. 1-5 - Ruochen Liu, Yi Tian, Yalin Zheng, Yuxuan Zhao, Jingxin Liu:
Direction-Guided Watershed for Adherent Cell Instance Segmentation. 1-5 - Hatef Mehrabian, Samantha Panakkal, Michael F. Sharpnack, Lauri Diehl:
Channel-Agnostic vs. Channel-Adaptive: Foundation Model Strategies for Spatial Proteomics. 1-5 - Xiangyu Guo, Changrui Li, Zihang Shu:
A Dual-View U-Net Framework for Carotid Ultra-Sound Plaque Segmentation and Vulnerability Classification. 1-4 - Haoyang Liu, Yuwen Zeng, Zhang Zhang, Arata Nagai, Kengo Takahashi, Masayuki Kanamori, Hidenori Endo, Kuniyasu Niizuma, Noriyasu Homma:
GIG-NET: Cascaded Graph-in-Graph Framework for Molecular Subtype Classification based on Multi-Modal Fusion in Glioma. 1-5 - Yinsong Wang, Thomas Fletcher, Xinzhe Luo, Aine Travers Dineen, Rhodri Cusack, Chen Qin:
Self-Supervised Slice-to-Volume Reconstruction with Gaussian Representations for Fetal MRI. 1-5 - Chushu Shen, Hengjie Liu, Dan Ruan, Debiao Li:
Population-Prior-Assisted Implicit Neural Representations for Instance-Specific Unsupervised Accelerated Mri Reconstruction. 1-5 - Kyeonghun Kim, Jaehyeok Bae, Youngung Han, Joo Young Bae, Seoyoung Ju, Junsu Lim, Gyeongmin Kim, Nam-Joon Kim, Woo Kyoung Jeong, Ken Ying-Kai Liao, Won Jae Lee, Pa Hong, Hyuk-Jae Lee:
3D-LLDM: Label-Guided 3D Latent Diffusion Model for Improving High-Resolution Synthetic MR Imaging in Hepatic Structure Segmentation. 1-5 - Francesco Campi, Lucrezia Tondo, Ekin Karabati, Johannes Betge, Marie Piraud:
Leveraging Multi-Rater Annotations to Calibrate Object Detectors in Microscopy Imaging. 1-5 - Johannes Brandt, Maulik Chevli, Rickmer Braren, Georgios Kaissis, Philip Müller, Daniel Rueckert:
Lungevaty: A Scalable, Open-Source Transformer-Based Deep Learning Model for Lung Cancer Risk Prediction in LDCT Screening. 1-5 - Rupam Mukherjee, Soujanya Hazra, Rajkumar Daniel, Shirin Dasgupta, Subhamoy Mandal:
RAA-MIL: A Novel Framework for Classification of Oral Cytology. 1-4 - Jirí Hladuvka, Viktória Hodorová:
Dihedral-Invariant LBP Co-Occurrence for Cellular Texture Analysis. 1-5 - Zaiyang Guo, Jessie N. Dong, Filippos Bellos, Jilei Hao, Emily Mackay, Trevor Chan, Shir Goldfinger, Sethu Reddy, Steven Vance, Jason J. Corso, Alison M. Pouch:
Follow Your Heart: Landmark-Guided Transducer Pose Scoring for Point-of-Care Echocardiography. 1-5 - Fahym Bounazou, Florencia Boccarato, Hye Lim Lee, Raphaële Renard-Penna, Hervé Delingette:
Optimized High B-Value DWI Synthesis for Prostate Cancer Detection Using ADC Fusion. 1-4 - Piyush Soni, Rahul Ganesh S, Somashekhar Dehury, Inger A. Grunbeck, Ola Wiig, Sudhish N. George, Rahul Prasanna Kumar:
Mobile Augmented Reality for Hip Osteotomy Planning: Integration with 3D Slicer and Pilot Evaluation. 1-4 - Lewis Clifton, Xin Tian, Duangdao Palasuwan, Phandee Watanaboonyongcharoen, Ponlapat Rojnuckarin, Nantheera Anantrasirichai:
Mamba-Based Ensemble Learning for White Blood Cell Classification. 1-4 - Arianna Defeudis, Claudia Iuliani, Giulia Nicoletti, Eleonora Battista, Greta Vercella, Alessia Demichelis, Manuela Durando, Isabella Castellano, Valentina Giannini:
A Novel Radiopathomic Signature for Oncotype Dx® Prediction in Breast Cancer. 1-5 - Ashok Choudhary, Frank G. Lee, Ellen L. Larson, Cornelius A. Thiels, Hojjat Salehinejad:
Cross-Domain Vision-Language Transfer Learning for Surgical Drain Detection in Real-World Postoperative Images. 1-4 - Zeeshan Nisar, Friedrich Feuerhake, Thomas Andrew Lampert:
DSA-CycleGAN: A Domain Shift Aware Cyclegan for Robust Multi-Stain Glomeruli Segmentation. 1-5 - Tianyi Ren, Juampablo Heras Rivera, Agamdeep Chopra, Mehmet Kurt:
Bias Mitigation for Brain Age Prediction via Age Delta Correlation Loss. 1-5 - Yunzhi Xu, Li Zhao:
Super-Resolution MRI Using Latent Fusion and Flow Matching. 1-5 - Hongjie Yu, Kaicong Sun, Dinggang Shen:
Trialign: Pathology-Aware a $\beta$-Pet Synthesis From MRI via Disentangled Anatomical, Pathological, and Modality Alignment. 1-4 - Hongxuan Tan, On Ki Tang, Chi Wai Lou, Conrad H. C. Lee, Wai Ki Wong, Ngou Men Wong, Scotty Kwok, Julia Y. S. Tsang, Ronald C. K. Chan, Gary M. Tse:
Deep Learning Analysis of Tumor-Infiltrating Lymphocyte, High Endothelial Venule, and Tertiary Lymphoid Structures in Breast Cancer Histopathology Whole Slide Imaging. 1-5 - Yiran Sun, Osama Mawlawi:
End-To-End Pet Image Reconstruction via a Posterior-Mean Diffusion Model. 1-5 - Xiao Wang, Jiangjie Wu, Xuanyu Tian, Taotao Sun, Hongjiang Wei, Yuyao Zhang:
Spatio-Temporal Continuous Fetal Body Atlas Via Latent-Conditioned Implicit Neural Representation. 1-5 - Chongcong Jiang, Zhuo Zhao, Peixian Liang, Min Shi, Jun Han, Nian-Feng Tzeng, Guanghua Xiao, Danny Z. Chen, Hao Zheng:
Exploring Multi-Scale Local and Global Features in Whole Slide Images Using State Space Models. 1-4 - Tizian Dege, Tobias Reinhardt, Christian Laufs, Christoph Hoog Antink:
Spatiotemporal Mapping of Facial Thermography and Electrodermal Activity Via Thermal-Aware YOLO-Pose Landmark Detection. 1-5 - Tijmen H. de Wolf, Julie Nonnekens, Ihor Smal:
Self-Supervised Bayesian Denoising Using a Poisson Noise Model. 1-4 - Yu-Chi Kung, Manuela Kunz, Stefan Parent, Lama Séoud:
Automatic Vertebrae Segmentation From Intraoperative 3D Point Clouds for Scoliosis Spine Surgery. 1-5 - Raphael Reme, Alasdair Newson, Elsa D. Angelini, Jean-Christophe Olivo-Marin, Thibault Lagache:
Integrating Visual Features in Multiple Hypothesis Tracking Through Self-Supervised Learning. 1-5 - Yuchen Mao, Hongwei Li, Yuchen Pan, Giorgos Papanastasiou, Peng Qi, Yunjie Yang, Wei Pang, Chengjia Wang:
Data-Efficient Medical Segmentation Through Active Knowledge Distillation from a Sam Teacher. 1-4 - Bashayer Abdallah, Shan-E-Ahmed Raza:
Monocular Depth Estimation with Guided Edge-Aware Attention for Endoscopic Images. 1-5 - Chen Huang, Pujin Cheng, Li Lin, Zheng Gu, Xiaoying Tang:
DAPS: Diffusion-Based and Anatomical Prior-Guided CT Synthesis for Pet Attenuation Correction. 1-5 - Changlu Guo, Anders Nymark Christensen, Anders Bjorholm Dahl, Yugen Yi, Morten Rieger Hannemose:
SA-UNetv2: Rethinking Spatial Attention U-Net for Retinal Vessel Segmentation. 1-5 - Bilal A. Sidiqi, Yipei Wang, Shaheer U. Saeed, Shiqi Huang, Daniel C. Alexander, Yipeng Hu:
Continual Pretraining Prostate MRI ViT Encoder for Task Alignment. 1-5 - Hongyu Rui, Yinzhe Wu, Fanwen Wang, Jiahao Huang, Zhenxuan Zhang, Liutao Yang, Zi Wang, Guang Yang:
Decoupling Multi-Contrast Super-Resolution: Pairing Unpaired Synthesis with Implicit Representations. 1-4 - Ang Zu, Ruichi Zhang, Yang Zhou, Yang Lu:
Zero-Shot Multi-Label Chest X-Ray Diagnosis via Medklip Fine-Tuning and Prototype-Based Prompting. 1-4 - Razan Mhanna, Sophie Achard, Alexander Petersen, Jonas Richiardi:
Distribution-Based Brain Connectivity Graph Representations for Classification. 1-4 - Ziang Xu, Chenyu Zhang, Jens Rittscher, Sharib Ali:
Patchsurg: Leveraging Synthetic Datasets for High-Fidelity Depth Estimation in Surgery. 1-5 - Hyunmin Kim, Yukun Zhou, Rahul A. Jonas, Lie Ju, Sunjin Hwang, Pearse A. Keane, Siegfried K. Wagner:
Oculomix: Hierarchical Sampling for Retinal-Based Systemic Disease Prediction. 1-5 - Jinchen Gu, Nan Zhao, Lei Qiu, Lu Zhang:
Domain-Expert-Guided Hybrid Mixture-of-Experts for Medical AI: Integrating Data-Driven Learning With Clinical Priors. 1-4 - Thalia Seale, Alexander J. Sharp, Abhirup Banerjee:
Geometric Deep Learning Model of Left Atrial Geometry and Conduction Velocity in Atrial Fibrillation. 1-4 - Joseph Van Duyn, Pavel Popov, Armin Iraji, Yang Liu, Zening Fu, Vince D. Calhoun, Sergey M. Plis, Alex Fedorov:
Boltzmann-Inspired Model for FMRI Time-Series Classification. 1-5 - Youngung Han, Induk Um, Kyeonghun Kim, Junga Kim, Hyunsu Go, Jaewon Jung, Nam-Joon Kim, Woo Kyoung Jeong, Won Jae Lee, Pa Hong, Ken Ying-Kai Liao, Hyuk-Jae Lee:
MMA-Former: Multi-Window Mixture-of-Head Attention Transformer for Adaptive PNI Prediction in 3D MRI. 1-5 - Yixuan Liu, Kanwal K. Bhatia, Ahmed E. Fetit:
A Multimodal Slice Discovery Framework for Systematic Failure Detection and Explanation in Medical Image Classification. 1-4 - Lena Harkämper, Léo Lebrat, David Ahmedt-Aristizabal, Olivier Salvado, Mattias Heinrich, Rodrigo Santa Cruz:
Non-Invasive 3D Wound Measurement with RGB-D Imaging. 1-4 - Aline Kotoski, Sir-Lord Wiafe, Tülay Adali, Vince D. Calhoun:
Neural Flexibility in Timescale-Aligned Brain Network Amplitude Dynamics Reveals Sex-Specific Differences and Supports Cognition in Late Childhood. 1-4 - Yuwei Cao, Tingting Dan, Chuhan Yu, Yang Yang, Guorong Wu:
Understanding Brain Functional Dynamics With Deep State-Space Modeling on Riemannian Manifold. 1-5 - Baoqiang Ma, Djennifer K. Madzia-Madzou, Rosa C. J. Kraaijveld, Jin Ouyang:
Ranking Xai Methods for Head and Neck Cancer Outcome Prediction. 1-4 - Josiah Simeth, Sudharsan Madhavan, Andreas Wibmer, Daniel Gorovets, Sean McBride, Himanshu Nagar, Victoria Brennan, Neelam Tyagi, Harini Veeraraghavan:
Parallel Route Coherent Mixup Deep Learning for Single Source to Multi-Domain Generalized Prostate Cancer Segmentation for Mr Guided Adaptive Radiotherapy. 1-5 - Jie Luo, Pengcheng Xue, Ming Yang, Han Zhang, Xuyun Wen:
Dualclip: Joint Cortical-Subcortical Representation Learning for Neurodevelopmental Disorder Detection. 1-5 - Wenkai Zhang, Jie Liu, Fengbin Jin, Jianan Cui, Yuanjing Feng:
Sam-Peft: a Parameter-Efficient Fine-Tuning Framework Fusing Multi-Modal Mri for Prompt-Free Glioma Segmentation. 1-4 - Marco Acerbis, Swarnadip Chatterjee, Christophe Avenel, Joakim Lindblad:
SLAM-AGS: Slide-Label Aware Multi-Task Pretraining Using Adaptive Gradient Surgery in Computational Cytology. 1-5 - Yang Gu, Xinling Li, Cheng Zhang, Ruoyu Wang, Xizhe Huang, Erin Cargin, Micky C. Nnamdi, J. Ben Tamo, Wenqi Shi, May D. Wang:
PKAttn: Pharmacokinetics-Inspired Fusion of DCE-MRL and Clinical Data for Accurate Breast Cancer Recurrence Prediction. 1-4 - Minheng Chen, Tong Chen, Chao Cao, Jing Zhang, Li Su, Tianming Liu, Dajiang Zhu:
Folding-Fiducial Geodesic Representation for Morphometric Similarity Networks in Neurodegenerative Disease Characterization. 1-4 - Rong Zhou, Houliang Zhou, Yao Su, Brian Y. Chen, Yu Zhang, Lifang He:
Adaptive Clinical-Aware Latent Diffusion for Multimodal Brain Image Generation and Missing Modality Imputation. 1-4 - Yaoqian Li, Jinpeng Li, Pheng-Ann Heng:
Evidence-Grounded Temporal Reasoning in Operating Room Long Video Understanding. 1-5 - Junqi Tang, Guixian Xu, Jinglai Li:
Fast Gradient Methods for Data-Consistent Local Super-Resolution of Medical Images. 1-5 - Hsin-Pei Yu, Si-Qin Lyu, Van Quang Nghiem, Yi-Hsien Hsieh, Weichung Wang, Tung-Hung Su, Jia-Horng Kao, Che Lin:
Learning From Limited Multi-Phase CT: Dual-Branch Prototype-Guided Framework for Early Recurrence Prediction in HCC. 1-5 - Shizhuo Li, Huihui Ye, Huafeng Liu, Bo Zhao:
Accelerated MR Fingerprinting with Low-Rank Modeling and Implicit Neural Representation. 1-5 - Ryuichi Ohe, Tasuku Koyama, Hiroki Nishikawa, Ittetsu Taniguchi, Takao Onoye:
US-XAI: A Rag-Grounded Vision Language Model for Explainable Urinary Sediment Classification. 1-4 - Zejun Fu, Hongshun Ling, Jinjing Wu, Li Zhang:
Dual-Network Semi-Supervised Framework for Carotid Plaque Ultrasound Analysis. 1-4 - Ziwei Chen, Wenxuan Zou, Gen Shi, Jian'an Ye, Ning Sun, Zhongwei Bian, Yu An, Jie Tian:
Deliver-MPI: Diffusion Embedded-Physics Model for Magnetic Particle Imaging Reconstruction under Strong Liver Background. 1-5 - Tsai-Chieh Chien, Ching-Te Chiu, Ned Lin, Ang Yu, Paul Lai, Daniel Chen, Chia-Yi Lin:
AMIE : Affine-Attentive Matching and Interpretive Imprint Evaluation for Partial Fingerprint Verification. 1-4 - Zining Liu, Gen Shi, Ziwei Chen, Jie Tian, Hui Zhang, Jingying Jiang:
DiGMa: A Dual-Domain Collaborative Framework for Efficient Temporal MPI Reconstruction. 1-5 - Khan Muhammad, Muhammad Majid, Aamir Arsalan, Syed Muhammad Anwar:
Heart Sounds Spectrogram: An Efficient Detection Tool for Depression. 1-4 - Simon Perrin, Sébastien Levilly, Harold Mouchère, Jean-Michel Serfaty:
Faster 4D Flow MRI Scan with 3D Arbitrary-Scale Super-Resolution. 1-5 - Shenjun Zhong, Zhifeng Chen, Zhaolin Chen:
Optimize Flip Angle Schedules in Mr Fingerprinting using Reinforcement Learning. 1-4 - Zolnamar Dorjsembe, Hung-Yi Chen, Furen Xiao, Hsing-Kuo Pao:
Parallel Swin Transformer-Enhanced 3D MRI-to-CT Synthesis for MRI-Only Radiotherapy Planning. 1-4 - Xueqi Guo, Halid Ziya Yerebakan, Kritika Iyer, Yoshihisa Shinagawa, Gerardo Hermosillo Valadez:
MALSIV: Multi-Agent Multi-Landmark Searching with Implicit Voting for Fast and Robust Anatomical Landmark Localization in MR Scans. 1-5 - Dingfu Huang, Wang Bo, Shaohua Kevin Zhou:
High-Fidelity 3D CT Super-Resolution on Real-Paired Datasets with Adaptive Interpolation and Feature Consistency. 1-5 - Walaa Zakaria, Alae Eddine El Barkaoui, Guillaume Criton, Jérôme Honnorat, François Cotton, Bastien Joubert, Thomas Grenier:
Comparative Evaluation of Five Hippocampal Segmentation Algorithms in Limbic Encephalitis: Addressing Inflammation and Atrophy Challenges. 1-5 - Ruining Zhou, Jinyue Guo, Liuyun Jiang, Jing Liu, Hua Han:
DiSMemNet: Structure-Aware Distillation and Memory Network for Generalizable Unsupervised Domain Adaptation in EM Segmentation. 1-5 - Taifour Yousra, Marouane Tliba, Nour Aburaed, Azeddine Beghdadi, Faouzi Alaya Cheikh, Aladine Chetouani, Zuheng Ming, Rachid Jennane:
PhysHVS-LDCT: Dose-Controllable Physics-Based Low-Dose CT Synthesis for Benchmarking and Data Augmentation. 1-5 - Ana Lawry Aguila, Marina Crespo Aguirre, Peirong Liu, Juan Eugenio Iglesias:
Healthy Counterfactual Generation with Denoising Diffusion Bridge Models. 1-4 - Shota Harada, Ryoma Bise, Kiyohito Tanaka, Seiichi Uchida:
Ranking-Guided Semi-Supervised Domain Adaptation for Severity Classification. 1-5 - Shaunna Wang, Yishan Zhong, Benoit Marteau, Shaun Q. Y. Tan, Yining Yuan, Yifei Wang, May D. Wang:
Rethinking Model Complexity: Contrastive Frame Embedding in Transformer-Based Echocardiogram Ejection Fraction Estimation. 1-4 - Chun Kit Wong, Mary Ngo, Manxi Lin, Zahra Bashir, Amihai Heen, Morten Bo Søndergaard Svendsen, Martin Grønnebæk Tolsgaard, Anders Nymark Christensen, Aasa Feragen:
Testing of Deep Learning Model in Real World Clinical Setting: A Case Study in Obstetric Ultrasound. 1-5 - Mengliang Zhang:
Hospital-Specific Bias in Patch-Based Pathology Models. 1-4 - Yu Liu, Ruyu Ma, Nassir Navab, Jian Cui, Tingying Peng:
CURVFUSE: Field-Curvature-Aware Multi-Focus Fusion for Bioluminescence Imaging. 1-5 - Bowen Gao, Kaiyan Li, S. Kevin Zhou:
TRIDF-INR: Dual Frequency Self-Supervised Multi-Contrast MRI Super-Resolution Via Tri-Head Implicit Neural Representation. 1-5 - Zhanpei Gao, Chenyu Zhang, Mingxuan Liu, Yifei Chen, Xiaotian Hu, Qiyuan Tian:
View-Conditioned Semi-Supervised Learning for Fetal Cardiac Ultrasound Analysis. 1-5 - Ningshu Li, Minglang Chen, Bin Pu, Jingqiao Li, Xiaomeng Li:
ST-SAM: A Spatio-Temporal Enhanced Segment Anything Model for Echocardiogram Video Segmentation. 1-5 - Zhengda Ma, Abhirup Banerjee:
Multi-Class Transcompletion: Geometric Deep Learning for Four-Chamber Cardiac Reconstruction From Cine MRI. 1-4 - Ziqian Guan, Yuting Wang, Danyang Chen, Jiarui Zhu, Haowen Xiao, Fukang Ge, Yanrui Lu, Lin Gu, Yingying Zhu:
Detection Over Segmentation: A New Approach for Multi-Particle Picking in 3D Real-World Cryoet. 1-5 - Bingyan Hao, Yuanyuan Gu, Yiwen Hu, Fang Liu, Yuanjing Feng, Yitian Zhao:
All-Subtype Cataract Classification and Grading in AS-OCT via a Unified Multi-Task Framework. 1-5 - Zhi Qin Tan, Xiatian Zhu, Owen Addison, Yunpeng Li:
Dentalx: Context-Aware Dental Disease Detection With Radiographs. 1-5 - Xuanqi Huang, Bodong Du, Xinrui Zhou, Xiaomeng Li:
Pathology-Centric Region Exchange: Joint Carotid Plaque Segmentation and Vulnerability Assessment in Ultrasound. 1-5 - Gunjan Deotale, Dev Kumar Das, Lavish Ramchandani, Tijo Thomas:
A Hybrid Diversity-Aware Active Learning Framework for Efficient Histopathology Image Segmentation. 1-5 - Jorge Tapias Gomez, Despoina Kanata, Aneesh Rangnekar, Christina Lee, Joshua Jesse Smith, Julio Garcia-Aguilar, Harini Veeraraghavan:
Dual Cross-Attention Siamese Transformer for Rectal Tumor Regrowth Assessment in Watch-and-Wait Endoscopy. 1-5 - Dewmini Hasara Wickremasinghe, Michelle Gibogwe, Andrew Bell, Esther Puyol-Antón, Muhummad Sohaib Nazir, Reza Razavi, Bruno Paun, Paul Aljabar, Andrew P. King:
Confidence Matters: Uncertainty Quantification and Precision Assessment of Deep Learning-Based CMR Biomarker Estimates Using Scan-Rescan Data. 1-5 - Qi Wang, Ge Yang:
Medical Small Object Detection Algorithm Based on Multi-Scale Frequency Domain Enhancement and Cross-Attention Fusion. 1-5 - Chang Xiao, Yingtai Li, Guohao Dong, Yaoxian Zou, Muqin Lin, Shaohua Kevin Zhou:
UIGM: Segmentation-Constrained Flow Matching Model for Ultrasound Data Augmentation. 1-5 - Junno Yun, Toygan Kilic, Jürgen Herrler, Patrick Liebig, Kâmil Ugurbil, Mehmet Akçakaya:
Strict Quadratically-Constrained Parallel Transmit Design with Unrolled Homeomorphic Projection. 1-5 - Ahmed Jaheen, Islam Hassan, Mohanad Abouserie, Abdelaty Rehab, Adham Elasfar, Knzy Elmasry, Mostafa El-Dawlatly, Seif Eldawlatly:
CephRes-MHNet: A Multi-Head Residual Network for Accurate and Robust Cephalometric Landmark Detection. 1-5 - Lin Chen, Yue He, Fengting Zhang, Yaonan Wang, Fengming Lin, Xiang Chen, Min Liu:
REG-TTR, Test-Time Refinement for Fast, Robust and Accurate Image Registration. 1-5 - Ufaq Khan, L. D. M. S. S. Teja, Ayuba Shakiru, Mai A. Shaaban, Yutong Xie, Muhammad Bilal, Muhammad Haris Khan:
Aurora: Adaptive Unified Representation for Robust Ultrasound Analysis. 1-4 - Xiaoyang Wei, Camille Kurtz, Florence Cloppet:
QwenCLIP: Boosting Medical Vision-Language Model Pretraining via LLM Embeddings and Prompt Tuning. 1-5 - Santa Sozzi, Mahdi Enan, Lucia Melloni, Fabrizio Esposito, Nicola Vanello, Federico De Martino:
Functional Connectivity During Visual-Auditory Associative Learning with Submillimeter Fmri at 7T: Comparing Pearson and Pca-Based Partial Correlation in Beta-Series Analysis. 1-4 - Taejin Jeong, Joohyeok Kim, Jaehoon Joo, Seong Jae Hwang:
Rethinking Glaucoma Calibration: Voting-Based Binocular and Metadata Integration. 1-5 - Pranav Kulkarni, Brajesh K. Lal, Georges Jreij, Sai Vallamchetla, Langford Green, Jenifer Voeks, John Huston, Lloyd J. Edwards, George Howard, Bradley A. Maron, Thomas G. Brott, James F. Meschia, Florence X. Doo, Heng Huang:
Crestomics: Analyzing Carotid Plaques in the Crest-2 Trial with a New Additive Classification Model. 1-4 - Tianyi Qu, Dichao Liu, Ze Jin, Yuqiao Yang, Kenji Suzuki:
Weakly-Supervised Lung Nodule Segmentation in CT with One-Click Annotation. 1-4 - Lara Blomenkamp, Ivanna Kramer, Sabine Bauer, Theresa Schöche:
SLD: Segmentation-Based Landmark Detection for Spinal Ligaments. 1-5 - Mohamed Khudri, Mostafa Abdelrahim, Ali Mahmoud, Ahmed Shalaby, Moumen T. El-Melegy, Asem M. Ali, Mohammed Ghazal, Fatma Taher, Ashraf Khalil, Sohail Contractor, Gregory N. Barnes, Ayman El-Baz:
AI-Driven Prediction of Communication Score from Functional Mri with Neurocircuit Characterization in Autism. 1-4 - VSS Tejaswi Abburi, Ananya Singhal, Saurabh J. Shigwan, Nitin Kumar:
ARMARecon: An ARMA Convolutional Filter Based Graph Neural Network for Neurodegenerative Dementias Classification. 1-4 - Yunan Hou, Guojun Du, Yunmei Chen, Huafeng Liu:
Learnable Descent Algorithm for Cardiac Transmembrane Potential Imaging. 1-4 - Alexander Joseph Fezovich, Iman Yi Liao, Ean Hin Ooi:
Time-Aware Neural Operator for Liver Radiofrequency Ablation Planning. 1-4 - Hafsa Akebli, Adam Shephard, Vincenzo Della Mea, Nasir M. Rajpoot:
Multimodal Oncology Agent for Idh1 Mutation Prediction in Low-Grade Glioma. 1-4 - Thales Bezerra, Emanoel dos Santos, Kelvin Cunha, Rodrigo Mota, Fábio Papais, Francisco Filho, Natália Lopes, Érico Medeiros, Jéssica Araujo, Shirley Cruz, Paulo Borba, Tsang Ing Ren:
DermAI: Clinical Dermatology Acquisition Through Quality-Driven Image Collection for AI Classification in Mobile. 1-4 - Emilia López-Abad, Jorge Pérez-Martín:
Introducing Transformer-Based Cascaded Classifiers for Breast Cancer Histopathology Classification. 1-4 - Hongxi Yang, Zhen Yu, Deval Mehta, Yasmeen George, Zongyuan Ge:
Semantic-Guided 3D CT Generation for Stroke Lesion Segmentation. 1-5 - Célestine Lachambre, Bruno Gilles, Barbara Nicolas, François Varray, Jean-Christophe Béra, Adrian Basarab:
Introduction of a Learned Prior to Passive Cavitation Imaging. 1-5 - Ujwala Bhangale Chaudhari, Bisi Bode Kolawole, Cecilia Pugliano, Irene Zammarchi, Giovanni Santacroce, Rocío del Amor, Pablo Meseguer, Valery Naranjo, Subrata Ghosh, Marietta Iacucci, Enrico Grisan:
Automated CRYPT Architecture Categorization Using Advanced Endoscopy. 1-4 - A. Basterra-García, I. Hernández-Abad, David Bermejo-Peláez, Benito Farina, M. Hidalgo, M. Gómez-Álvarez, A. Mendoza, D. Brau-Queralt, Juan E. Ortuño, N. Déez, Andrés Santos, R. Ancos-Pintado, R. García-Vicente, María Linares, C. Benavente, J. Montoro, J. Martínez-López, Miguel A. Luengo-Oroz, María J. Ledesma-Carbayo:
Uncertainty-Aware Multimodal Fusion for Prognostic Prediction in Myelodysplastic Syndromes. 1-4 - Xiaofeng Liu, Menghua Xia, Yanis Chemli, Georges El Fakhri, Chi Liu, Jinsong Ouyang:
Unsupervised Adaptation from FDG to PSMA PET/CT for 3D Lesion Detection Under Label Shift. 1-5 - Sacha Dedeken, Thierry Colin, Jérôme Faure, Dimitris Visvikis, Pierre-Henri Conze:
Iterative Confidence-Based Pseudo-Labeling for Semi-Supervised Lung Cancer Segmentation Under Annotation Scarcity. 1-4 - Zili Wang, Xiwei Xuan, Kwan-Liu Ma:
Interactive Surgical Visualization with Real-Time Endoscopic Scene Reconstruction and Functional Imaging Overlay. 1-4 - Lina Chato, Alex Kagozi:
Wavelet-Domain Multi-Representation and Ensemble Learning for Automated ECG Analysis. 1-4 - Gabriel Steele, Alzahra Altalib, Alessandro Perelli:
Dual-Domain Equivariant Generative Adversarial Network for Multimodal CT-Pet Synthesis. 1-4 - Giorgio Dolci, Enrico Zorzi, Virginia Filippi, Silvia Saglia, Lorenza Brusini, Ilaria Boscolo Galazzo, Gloria Menegaz:
Wavelet-Based Scale-Wise Functional Connectivity Revealed Modulations Due to a $\beta$-Tau Proteins in Alzheimer's Disease. 1-4 - Xirang Zhang, Yongyi Yang, Jovan G. Brankov, Michael A. King:
Toward Achieving Adjustable Smoothing Level in Cardiac-Gated SPECT Studies with a Deep Learning Denoising Network. 1-4 - Junjie Wang, Lujian Zhang, Ziqi Li, Tianyu Fu, Yixin Zhou, Jian Yang:
Knee Joint Registration Based on Chart and Learnable Superpoint Match. 1-5 - Arthur Longuefosse, Javier Sequeiro González, Fabien Baldacci, Jun Seita:
From Intensity to Anatomy: Optimizing nnU-Net for MR-to-CT Translation on SynthRAD2025. 1-4 - Alix de Langlais, Benjamin Billot, Théo Aguilar Vidal, Marc-Olivier Gauci, Hervé Delingette:
Resource-Efficient Automatic Refinement of Segmentations via Weak Supervision from Light Feedback. 1-4 - Nauman Bashir Bhatti, Ali Sadeghi-Naini:
Track, Measure, Evaluate: A Clinically Aligned Pipeline for Automatic Radiotherapy Response Assessment in Brain Tumors. 1-4 - Yanxuan Yu, Michael S. Hughes, Julien Lee, Jiacheng Zhou, Andrew F. Laine:
Boundary-Aware Adversarial Filtering for Reliable Diagnosis Under Extreme Class Imbalance. 1-5 - Donghui Li, Hiroyuki Kudo, Wataru Yashiro:
Accelerated Reconstruction for Sparse-View CT with Angular Sinogram Blurring Arising in Fast Continuous Rotation CT Scanners Using Dykstra-Like Splitting. 1-5 - Ananya Shukla, Amog Rao, Siddharth, Rina Bao:
Obscuration to Clarity: Bone Suppression for Enhanced Localization in Pneumothorax Segmentation of Chest Radiographs. 1-4 - Xuanke Zhang, Qi Zhang, Jia Gu, Runyang Jian, Chongyu Bao, Ziyang Zhu, Fengyong You, Jingzhang Sun:
Disdiff: Self-Supervised Segmentation on Histopathology Images Using Diffusion Models and Distance Maps. 1-5 - Youngung Han, Hyunsu Go, Kyeonghun Kim, Induk Um, Junga Kim, Jaewon Jung, Nam-Joon Kim, Woo Kyoung Jeong, Won Jae Lee, Ken Ying-Kai Liao, Pa Hong, Hyuk-Jae Lee:
Losa-Net: A Localized and Scale-Adaptive Network for Boundary-Sensitive Prediction of Perineural Invasion in 3D MRI. 1-5 - Yifan Li, Fenghe Tang, Yingtai Li, Shaohua Kevin Zhou:
MedReason-R1: Learning to Reason for CT Diagnosis with Reinforcement Learning and Local Zoom. 1-5 - J. Martínez-Aedo Castro, Ana D. Ramos-Guerra, Juan Enrique Ortuño Fisac, I. Carretero-Barrios, C. Ariño Palao, J. Palacios, B. Pérez Mies, María J. Ledesma-Carbayo:
Ai-Driven Spatial Analysis of Breast Cancer Images for Recurrence Stratification. 1-4 - Soumya Mukherjee, Russel Abreo, Suyash P. Awate:
Dictionary-Based Deep Neural Field with Clinically-Aware Learning and Pruning for 400-940× Image Compression in Hardi and FMRI. 1-5 - Tahsin Rahman, Jason L. Granstedt, Jana G. Delfino, Aldo Badano, Seyed Kahaki:
Identifying Digital Mammography Artifacts Through Interpretable Feature-Based Anomaly Detection. 1-4 - Jiayu Huo, Jingyuan Hong, Liyun Chen:
DINO-AD: Unsupervised Anomaly Detection with Frozen DINO-V3 Features. 1-4 - Justin Namuk Kim, Hao Wu, Tao Hu, Ammar Hoori, Juhwan Lee, David L. Wilson:
How to Optimize Concordance in Medical Imaging for Deep Survival Analysis? Concordance Pairwise Logistic Loss. 1-4
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