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ORCIDPRIME@MICCAI 2025: Daejeon, South Korea
- Islem Rekik
, Ehsan Adeli, Sang Hyun Park, Celia Cintas:
Predictive Intelligence in Medicine - 8th International Workshop, PRIME 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 27, 2025, Proceedings. Lecture Notes in Computer Science 16164, Springer 2026, ISBN 978-3-032-07903-9 - Yousef Sadegheih, Pratibha Kumari, Dorit Merhof:
Modality-Agnostic Brain Lesion Segmentation with Privacy-Aware Continual Learning. 1-13 - Alec Peltekian, Karolina Senkow, Gorkem Durak, Kevin M. Grudzinski, Bradford C. Bemiss, Jane E. Dematte, Carrie Richardson, Nikolay S. Markov, Philip H. Carns, Kathleen Aren, Alexandra Soriano, Matthew Dapas, Harris Perlman, Aaron Gundersheimer, Kavitha C. Selvan, John Varga, Monique Hinchcliff, Krishnan Warrior, Catherine A. Gao, Richard G. Wunderink, G. R. Scott Budinger, Alok N. Choudhary, Anthony J. Esposito, Alexander V. Misharin, Ankit Agrawal, Ulas Bagci:
Imaging-Based Mortality Prediction in Patients with Systemic Sclerosis. 14-23 - Noémie N. Moreau, Alexis Desmonts, Cyril Jaudet, Thomas Leleu, Alexandre G. Leclercq, Carole Brunaud, Dinu Stefan, Samuel Valable, Alexis Lechervy, Aurélien Corroyer-Dulmont:
AI-Driven Prediction of Treatment Efficacy in Glioblastoma Using Medical Imaging. 24-33 - Furkan Pala, Islem Rekik:
GNN-Based Unified Deep Learning. 34-46 - Shuting Liu, Baochang Zhang, Veronika A. Zimmer, Daniel Rueckert:
Hybrid Attention for Multimodal MCI Progression Prediction: Balancing Shared and Modality-Specific Features. 47-57 - Xu Hu, Jingling Yang, Wenjun Xiao, Sihan Jia, Yutong Gao, Zening Fu, Vince D. Calhoun, Yuda Bi:
GM-LDM: Latent Diffusion Guided by Functional Connectivity for Gray-Matter Generation and Biomarker Identification. 58-69 - Jingge Wang, Puhua Jiang, Jingyun Yang, Haohua Wang, Yang Li:
Multimodal Progression-Aware Chest X-Ray Image Generation via Controllable Latent Diffusion Model. 70-81 - Zhijian Huang, Manhua Liu:
Swin Transformer Based Bidirectional Feature Pyramid Network for Knee Osteoarthritis Severity Grading. 82-93 - Xinyu Wang, Mengjun Liu, Haolin Huang, Haotian Jiang, Mengjie Xu, Qian Wang:
Region-Adapted Representation Learning for Resting-State fMRI. 94-103 - Yitong Luo, Islem Rekik:
GraphTreeGen: Subtree-Centric Approach to Efficient and Supervised Graph Generation. 104-115 - Ziliang Hong, Halil Ertugrul Aktas, Andrea Mia Bejar, Katherine Wu, Hongyi Pan, Gorkem Durak, Zheyuan Zhang, Sait Kayali, Temel Tirkes, Federica Proietto Salanitri, Concetto Spampinato, Michael Goggins, Tamas Gonda, Candice Bolan, Rajesh Keswani, Frank H. Miller, Michael B. Wallace, Ulas Bagci:
Pancreas Part Segmentation Under Federated Learning Paradigm. 116-125 - Doriane Arzur, Thibault Marin, Tatiana Horowitz, Aurélie Kas, Georges El Fakhri, Islem Ben Doudou Mhiri, Laura Rozenblum:
Multicenter PET Image Harmonization Using Style-Guided CycleGAN in Primary Central Nervous System Lymphoma : InStyleGAN. 126-138 - Jiahua Zhang, Yidong Tian:
Training-Free Graph In-context Learning for Medical Multimodal Prediction. 139-150 - Gideon N. L. Rouwendaal, Daniël Boeke, Inge L. Cox, Henk G. van der Poel, Margriet C. van Dijk-de Haan, Regina G. H. Beets-Tan, Thierry N. Boellaard, Wilson Silva:
Evaluating the Predictive Value of Preoperative MRI for Erectile Dysfunction Following Radical Prostatectomy. 151-162 - Enrique Almar-Munoz, Marawan Elbatel, Cristian Izquierdo, Illia Stepin, Machteld J. Boonstra, Xiaomeng Li, Christian Kremser, Matthias Schwab, Steffen E. Petersen, Markus Haltmeier, Agnes Mayr, Karim Lekadir:
Cine-CLIP: Reducing Cine-MRI Dimensionality with Temporal Variability for Left Ventricular Ejection Fraction Estimation. 163-172 - Fangrui Huang, Alan Q. Wang, Binxu Li, Bailey Trang, Ridvan Yesiloglu, Tianyu Hua, Wei Peng, Ehsan Adeli:
Cycle Diffusion Model for Counterfactual Image Generation. 173-185 - Christian Salomonsen, Kristoffer K. Wickstrøm, Samuel Kuttner, Elisabeth Wetzer:
Physics-Informed Deep Learning for Improved Input Function Estimation in Motion-Blurred Dynamic [18F]FDG PET Images. 186-197 - Seunga Lee, Juhyong Oh, Jae-Seung Yun, Mansu Kim:
A Dual-Attention RNN for Repeat PCI Prediction Using EHRs. 198-209 - Shayan Javid, Ravi R. Bhatt, Alyssa H. Zhu, Leon M. Aksman, Talia M. Nir, Neda Jahanshad:
FastEBM: Robust Disease Progression Inference at Scale. 210-220 - Soyeon Park, Heeseo Jeong, Soon Sun Kim, Jae Youn Cheong, Charmgil Hong:
Transformer-Based Risk Estimation of HCC in Patients with Chronic Hepatitis B. 221-233 - Chongmyung Kwon, Yujin Kim, Seoeun Park, Yunji Lee, Charmgil Hong:
MMM: Quantum-Chemical Molecular Representation Learning for Combinatorial Drug Recommendation. 234-245
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