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ORCIDYiming Xiao 0001
Person information
- affiliation: Concordia University, Department of Computer Science and Software Engineering, Montreal, QC, Canada
- affiliation (PhD 2016): McGill University, Montreal, QC, Canada
Other persons with the same name
- Yiming Xiao — disambiguation page
- Yiming Xiao 0002
![[0009-0000-1721-5583]](https://devdomain4test.ir/img/orcid-mark.12x12.png "0009-0000-1721-5583")
— Texas A&M University, Zachry Department of Civil and Environmental Engineering, College Station, TX, USA
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2020 – today
- 2026
[j33]Omid Nejati Manzari, Hojat Asgariandehkordi, Taha Koleilat, Yiming Xiao, Hassan Rivaz:
Medical image classification with KAN-integrated transformers and dilated neighborhood attention. Appl. Soft Comput. 186: 114045 (2026)- [j32]Soorena Salari, Catherine Spino, Laurie-Anne Pharand, Fabienne Lathuilière, Hassan Rivaz, Silvain Bériault, Yiming Xiao:
DINOMotion: Advanced Robust Tissue Motion Tracking With DINOv2 in 2D-Cine MRI-Guided Radiotherapy. IEEE Trans. Biomed. Eng. 73(3): 1171-1180 (2026) - [j31]Jonatan Reyes, Alireza Noroozi, Yiming Xiao, Marta Kersten-Oertel:
Bridging the Gaps: Imputation of Parkinson's Disease Clinical Assessments With Federated Learning. IEEE J. Biomed. Health Informatics 30(2): 1721-1734 (2026) - [j30]Taha Koleilat, Hassan Rivaz, Yiming Xiao:
CLIP-SVD: Efficient and Interpretable Vision-Language Adaptation via Singular Values. Trans. Mach. Learn. Res. 2026 (2026) - [j29]Pascal Spiegler, Arash Harirpoush, Yiming Xiao:
Towards user-centered interactive medical image segmentation in VR with an assistive AI agent. Virtual Real. 30(1): 20 (2026) - [i32]Taha Koleilat, Hojat Asgariandehkordi, Omid Nejati Manzari, Berardino Barile, Yiming Xiao, Hassan Rivaz:
MedCLIPSeg: Probabilistic Vision-Language Adaptation for Data-Efficient and Generalizable Medical Image Segmentation. CoRR abs/2602.20423 (2026) - [i31]Bahar Jahani, Matsanga Leyila Kaseka, Marta Kersten-Oertel, Yiming Xiao:
NeuroVase: A Tangible Mobile Augmented Reality Learning System for Neurovascular Anatomy and Stroke Education. CoRR abs/2604.00296 (2026) - [i30]Omid Nejati Manzari, Hojat Asgariandehkordi, Taha Koleilat, Yiming Xiao, Hassan Rivaz:
Sparse Spectral LoRA: Routed Experts for Medical VLMs. CoRR abs/2604.01310 (2026) - [i29]Erin Rainville, Melissa Ananian, Tristan Mirolla, Hassan Rivaz, Yiming Xiao:
VesselSim: learning 3D blood vessel segmentation without expert annotations. CoRR abs/2605.26277 (2026) - [i28]Taha Koleilat, Hassan Rivaz, Yiming Xiao:
Evi-Steer: Learning to Steer Biomedical Vision-Language Models through Efficient and Generalizable Evidential Tuning. CoRR abs/2605.26292 (2026) - 2025
- [j28]Mumu Aktar, Donatella Tampieri, Yiming Xiao, Hassan Rivaz, Marta Kersten-Oertel:
CASCADE-FSL: Few-shot learning for collateral evaluation in ischemic stroke. Comput. Medical Imaging Graph. 123: 102550 (2025) - [j27]Taha Koleilat, Hojat Asgariandehkordi, Hassan Rivaz, Yiming Xiao:
MedCLIP-SAMv2: Towards universal text-driven medical image segmentation. Medical Image Anal. 106: 103749 (2025) - [j26]Pascal Spiegler, Haitham Abdelsalam, Owen Hellum, Aristides Hadjinicolaou, Alexander G. Weil, Yiming Xiao:
PreVISE: an efficient virtual reality system for SEEG surgical planning. Virtual Real. 29(1): 13 (2025) - [c33]Taha Koleilat, Hojat Asgariandehkordi, Hassan Rivaz, Yiming Xiao:
BiomedCoOp: Learning to Prompt for Biomedical Vision-Language Models. CVPR 2025: 14766-14776 - [c32]Erin Rainville, Amirhossein Rasoulian, Hassan Rivaz, Yiming Xiao:
Weakly Supervised Intracranial Aneurysm Detection and Segmentation in MR Angiography via Multi-Task UNet with Vesselness Prior. ICCVW 2025: 1-10 - [c31]Soorena Salari, Arash Harirpoush, Hassan Rivaz, Yiming Xiao:
Cabld: Contrast-Agnostic Brain Landmark Detection With Consistency-Based Regularization. ICCV 2025: 1-12 - [c30]Pascal Spiegler, Taha Koleilat, Arash Harirpoush, Corey S. Miller, Hassan Rivaz, Marta Kersten-Oertel, Yiming Xiao:
TextSAM-EUS: Text Prompt Learning for SAM to Accurately Segment Pancreatic Tumor in Endoscopic Ultrasound. ICCVW 2025: 959-968 - [c29]Haitham Abdelsalam, Chanelle Montpetit, Arash Harirpoush, Maryse Fortin, Yiming Xiao:
Gamification of Immersive Cervical Rehabilitation Exercises in VR: An Exploratory Study on Chin Tuck and Range of Motion Exercises. ISMAR-Adjunct 2025: 362-369 - [e5]Deepti R. Bathula, Anoop Benet Nirmala, Nicha C. Dvornek, Sindhuja Tirumalai Govindarajan, Mohamad Habes, Vinod Kumar, Ahmed Nebli, Thomas Wolfers, Yiming Xiao:
Machine Learning in Clinical Neuroimaging - 7th International Workshop, MLCN 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings. Lecture Notes in Computer Science 15266, Springer 2025, ISBN 978-3-031-78760-7 [contents] - [i27]Omid Nejati Manzari, Hojat Asgariandehkordi, Taha Koleilat, Yiming Xiao, Hassan Rivaz:
Medical Image Classification with KAN-Integrated Transformers and Dilated Neighborhood Attention. CoRR abs/2502.13693 (2025) - [i26]Pascal Spiegler, Arash Harirpoush, Yiming Xiao:
Towards user-centered interactive medical image segmentation in VR with an assistive AI agent. CoRR abs/2505.07214 (2025) - [i25]Pascal Spiegler, Taha Koleilat, Arash Harirpoush, Corey S. Miller, Hassan Rivaz, Marta Kersten-Oertel, Yiming Xiao:
TextSAM-EUS: Text Prompt Learning for SAM to Accurately Segment Pancreatic Tumor in Endoscopic Ultrasound. CoRR abs/2507.18082 (2025) - [i24]Soorena Salari, Catherine Spino, Laurie-Anne Pharand, Fabienne Lathuilière, Hassan Rivaz, Silvain Bériault, Yiming Xiao:
DINOMotion: advanced robust tissue motion tracking with DINOv2 in 2D-Cine MRI-guided radiotherapy. CoRR abs/2508.10260 (2025) - [i23]Haitham Abdelsalam, Chanelle Montpetit, Arash Harirpoush, Maryse Fortin, Yiming Xiao:
Gamification of Immersive Cervical Rehabilitation Exercises in VR: An Exploratory Study on Chin Tuck and Range of Motion Exercises. CoRR abs/2508.18580 (2025) - [i22]Taha Koleilat, Hassan Rivaz, Yiming Xiao:
Singular Value Few-shot Adaptation of Vision-Language Models. CoRR abs/2509.03740 (2025) - [i21]Simon Joseph Clément Crête, Marta Kersten-Oertel, Yiming Xiao:
MRI-Based Brain Age Estimation with Supervised Contrastive Learning of Continuous Representation. CoRR abs/2511.22102 (2025) - 2024
- [j25]Arash Harirpoush, Amirhossein Rasoulian, Marta Kersten-Oertel, Yiming Xiao:
Architecture Analysis and Benchmarking of 3D U-Shaped Deep Learning Models for Thoracic Anatomical Segmentation. IEEE Access 12: 127592-127603 (2024) - [j24]Mumu Aktar, Yiming Xiao, Ali Kafaei Zad Tehrani, Donatella Tampieri, Hassan Rivaz, Marta Kersten-Oertel:
SCANED: Siamese collateral assessment network for evaluation of collaterals from ischemic damage. Comput. Medical Imaging Graph. 113: 102346 (2024) - [c28]Christopher Neves, Yong Zeng, Yiming Xiao:
Parkinson's Disease Detection from Resting State EEG Using Multi-head Graph Structure Learning with Gradient Weighted Graph Attention Explanations. MLCN@MICCAI 2024: 3-12 - [c27]Ali Kafaei Zad Tehrani, E. G. Sunethra Dayavansha, Yuyang Gu, Ion Candel, Michael Wang, Rimon Tadross, Yiming Xiao, Hassan Rivaz, Kai Thomenius, Anthony E. Samir:
Unsupervised Physics-Inspired Shear Wave Speed Estimation in Ultrasound Elastography. ASMUS@MICCAI 2024: 3-13 - [c26]Pascal Spiegler, Amirhossein Rasoulian, Yiming Xiao:
Weakly Supervised Intracranial Hemorrhage Segmentation with YOLO and an Uncertainty Rectified Segment Anything Model. SWITCH/ISLES@MICCAI 2024: 12-21 - [c25]Reihaneh Teimouri, Marta Kersten-Oertel, Yiming Xiao:
CT-Based Brain Ventricle Segmentation via Diffusion Schrödinger Bridge without target domain ground truths. MICCAI (8) 2024: 135-144 - [c24]Taha Koleilat, Hojat Asgariandehkordi, Hassan Rivaz, Yiming Xiao:
MedCLIP-SAM: Bridging Text and Image Towards Universal Medical Image Segmentation. MICCAI (12) 2024: 643-653 - [c23]Sepehr Jalayer, Yiming Xiao, Marta Kersten-Oertel:
VRNConnect: Towards More Intuitive Interaction of 3D Brain Connectivity Data in Virtual Environments. VR Workshops 2024: 24-29 - [i20]Arash Harirpoush, Amirhossein Rasoulian, Marta Kersten-Oertel, Yiming Xiao:
Architecture Analysis and Benchmarking of 3D U-shaped Deep Learning Models for Thoracic Anatomical Segmentation. CoRR abs/2402.03230 (2024) - [i19]Zirui Qiu, Hassan Rivaz, Yiming Xiao:
Joint chest X-ray diagnosis and clinical visual attention prediction with multi-stage cooperative learning: enhancing interpretability. CoRR abs/2403.16970 (2024) - [i18]Taha Koleilat, Hojat Asgariandehkordi, Hassan Rivaz, Yiming Xiao:
MedCLIP-SAM: Bridging Text and Image Towards Universal Medical Image Segmentation. CoRR abs/2403.20253 (2024) - [i17]Reihaneh Teimouri, Marta Kersten-Oertel, Yiming Xiao:
CT-based brain ventricle segmentation via diffusion Schrödinger Bridge without target domain ground truths. CoRR abs/2405.18267 (2024) - [i16]Arash Harirpoush, George Rakovich, Marta Kersten-Oertel, Yiming Xiao:
Virtual Reality-Based Preoperative Planning for Optimized Trocar Placement in Thoracic Surgery: A Preliminary Study. CoRR abs/2409.04414 (2024) - [i15]Taha Koleilat, Hojat Asgariandehkordi, Hassan Rivaz, Yiming Xiao:
MedCLIP-SAMv2: Towards Universal Text-Driven Medical Image Segmentation. CoRR abs/2409.19483 (2024) - [i14]Taha Koleilat, Hojat Asgariandehkordi, Hassan Rivaz, Yiming Xiao:
BiomedCoOp: Learning to Prompt for Biomedical Vision-Language Models. CoRR abs/2411.15232 (2024) - [i13]Soorena Salari, Arash Harirpoush, Hassan Rivaz, Yiming Xiao:
CAMLD: Contrast-Agnostic Medical Landmark Detection with Consistency-Based Regularization. CoRR abs/2411.17845 (2024) - [i12]Soorena Salari, Hassan Rivaz, Yiming Xiao:
Reliability of deep learning models for anatomical landmark detection: The role of inter-rater variability. CoRR abs/2411.17850 (2024) - 2023
- [j23]Nima Masoumi, Hassan Rivaz, M. Omair Ahmad, Yiming Xiao:
DiffeoRaptor: diffeomorphic inter-modal image registration using RaPTOR. Int. J. Comput. Assist. Radiol. Surg. 18(2): 367-377 (2023) - [j22]Amir Pirhadi, Soorena Salari, M. Omair Ahmad, Hassan Rivaz, Yiming Xiao:
Robust landmark-based brain shift correction with a Siamese neural network in ultrasound-guided brain tumor resection. Int. J. Comput. Assist. Radiol. Surg. 18(3): 501-508 (2023) - [j21]Mumu Aktar, Jonatan Reyes, Donatella Tampieri, Hassan Rivaz, Yiming Xiao, Marta Kersten-Oertel:
Deep learning for collateral evaluation in ischemic stroke with imbalanced data. Int. J. Comput. Assist. Radiol. Surg. 18(4): 733-740 (2023) - [j20]Owen Hellum, Christopher Steele, Yiming Xiao:
SONIA: an immersive customizable virtual reality system for the education and exploration of brain networks. Frontiers Virtual Real. 4 (2023) - [j19]Alessa Hering, Lasse Hansen, Tony C. W. Mok, Albert C. S. Chung, Hanna Siebert, Stephanie Häger, Annkristin Lange, Sven Kuckertz, Stefan Heldmann, Wei Shao, Sulaiman Vesal, Mirabela Rusu, Geoffrey A. Sonn, Théo Estienne, Maria Vakalopoulou, Luyi Han, Yunzhi Huang, Pew-Thian Yap, Mikael Brudfors, Yaël Balbastre, Samuel Joutard, Marc Modat, Gal Lifshitz, Dan Raviv, Jinxin Lv, Qiang Li, Vincent Jaouen, Dimitris Visvikis, Constance Fourcade, Mathieu Rubeaux, Wentao Pan, Zhe Xu, Bailiang Jian, Francesca De Benetti, Marek Wodzinski, Niklas Gunnarsson, Jens Sjölund, Daniel Grzech, Huaqi Qiu, Zeju Li, Alexander Thorley, Jinming Duan, Christoph Großbröhmer, Andrew Hoopes, Ingerid Reinertsen, Yiming Xiao, Bennett A. Landman, Yuankai Huo, Keelin Murphy, Nikolas Lessmann, Bram van Ginneken, Adrian V. Dalca, Mattias P. Heinrich:
Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning. IEEE Trans. Medical Imaging 42(3): 697-712 (2023) - [j18]Owen Hellum, Marta Kersten-Oertel, Yiming Xiao:
Assessment of user-interaction strategies for neurosurgical data navigation and annotation in virtual reality. Virtual Real. 27(2): 1345-1355 (2023) - [c22]Motaz Alqaoud, John Plemmons, Eric Feliberti, Krishnanand N. Kaipa, Gabor Fichtinger, Yiming Xiao, Tanweer Rashid, Michel A. Audette:
Multi-Material, Approach-Guided, Controlled-Resolution Breast Meshing for Fe-Based Interactive Surgery Simulation. ANNSIM 2023: 402-412 - [c21]Mumu Aktar, Hassan Rivaz, Marta Kersten-Oertel, Yiming Xiao:
VesselShot: Few-shot Learning for Cerebral Blood Vessel Segmentation. MLCN@MICCAI 2023: 46-55 - [c20]Parinaz Roshanzamir, Hassan Rivaz, Joshua Ahn, Hamza Mirza, Neda Naghdi, Meagan Anstruther, Michele C. Battié, Maryse Fortin, Yiming Xiao:
How Inter-rater Variability Relates to Aleatoric and Epistemic Uncertainty: A Case Study with Deep Learning-Based Paraspinal Muscle Segmentation. UNSURE@MICCAI 2023: 74-83 - [c19]Soorena Salari, Amirhossein Rasoulian, Hassan Rivaz, Yiming Xiao:
Towards Multi-modal Anatomical Landmark Detection for Ultrasound-Guided Brain Tumor Resection with Contrastive Learning. MICCAI (9) 2023: 668-678 - [c18]Soorena Salari, Amirhossein Rasoulian, Hassan Rivaz, Yiming Xiao:
FocalErrorNet: Uncertainty-Aware Focal Modulation Network for Inter-modal Registration Error Estimation in Ultrasound-Guided Neurosurgery. MICCAI (9) 2023: 689-698 - [c17]Soorena Salari, Amirhossein Rasoulian, Michele C. Battié, Maryse Fortin, Hassan Rivaz, Yiming Xiao:
Uncertainty-aware transformer model for anatomical landmark detection in paraspinal muscle MRIs. Image Processing 2023 - [c16]Zirui Qiu, Hassan Rivaz, Yiming Xiao:
Is Visual Explanation with Grad-CAM More Reliable for Deeper Neural Networks? A Case Study with Automatic Pneumothorax Diagnosis. MLMI@MICCAI (2) 2023: 224-233 - [e4]Yiming Xiao, Guanyu Yang, Shuang Song:
Lesion Segmentation in Surgical and Diagnostic Applications - MICCAI 2022 Challenges, CuRIOUS 2022, KiPA 2022 and MELA 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18-22, 2022, Proceedings. Lecture Notes in Computer Science 13648, Springer 2023, ISBN 978-3-031-27323-0 [contents] - [e3]Ahmed Abdulkadir, Deepti R. Bathula, Nicha C. Dvornek, Sindhuja Tirumalai Govindarajan, Mohamad Habes, Vinod Kumar, Esten H. Leonardsen, Thomas Wolfers, Yiming Xiao:
Machine Learning in Clinical Neuroimaging - 6th International Workshop, MLCN 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings. Lecture Notes in Computer Science 14312, Springer 2023, ISBN 978-3-031-44857-7 [contents] - [i11]Owen Hellum, Christopher Steele, Yiming Xiao:
SONIA: an immersive customizable virtual reality system for the education and exploration of brain networks. CoRR abs/2301.09772 (2023) - [i10]Soorena Salari, Amirhossein Rasoulian, Hassan Rivaz, Yiming Xiao:
FocalErrorNet: Uncertainty-aware focal modulation network for inter-modal registration error estimation in ultrasound-guided neurosurgery. CoRR abs/2307.14520 (2023) - [i9]Soorena Salari, Amirhossein Rasoulian, Hassan Rivaz, Yiming Xiao:
Towards multi-modal anatomical landmark detection for ultrasound-guided brain tumor resection with contrastive learning. CoRR abs/2307.14523 (2023) - [i8]Parinaz Roshanzamir, Hassan Rivaz, Joshua Ahn, Hamza Mirza, Neda Naghdi, Meagan Anstruther, Michele C. Battié, Maryse Fortin, Yiming Xiao:
How inter-rater variability relates to aleatoric and epistemic uncertainty: a case study with deep learning-based paraspinal muscle segmentation. CoRR abs/2308.06964 (2023) - [i7]Soorena Salari, Amirhossein Rasoulian, Hassan Rivaz, Yiming Xiao:
Dense Error Map Estimation for MRI-Ultrasound Registration in Brain Tumor Surgery Using Swin UNETR. CoRR abs/2308.10784 (2023) - [i6]Mumu Aktar, Hassan Rivaz, Marta Kersten-Oertel, Yiming Xiao:
VesselShot: Few-shot learning for cerebral blood vessel segmentation. CoRR abs/2308.14626 (2023) - [i5]Zirui Qiu, Hassan Rivaz, Yiming Xiao:
Is visual explanation with Grad-CAM more reliable for deeper neural networks? a case study with automatic pneumothorax diagnosis. CoRR abs/2308.15172 (2023) - 2022
- [j17]Owen Hellum, Yanyu Mu, Marta Kersten-Oertel, Yiming Xiao:
A novel prototype for virtual-reality-based deep brain stimulation trajectory planning using voodoo doll annotation and eye-tracking. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 10(4): 418-424 (2022) - [c15]Motaz Alqaoud, John Plemmons, Eric Feliberti, Krishnanand N. Kaipa, Siqin Dong, Gabor Fichtinger, Yiming Xiao, Michel A. Audette:
Multi-Modality Breast MRI Segmentation Using NNU-NET For Preoperative Planning Of Robotic Surgery Navigation. ANNSIM 2022: 317-328 - [c14]Motaz Alqaoud, John Plemmons, Eric Feliberti, Siqin Dong, Krishnanand N. Kaipa, Gabor Fichtinger, Yiming Xiao, Michel A. Audette:
nnUNet-based Multi-modality Breast MRI Segmentation and Tissue-Delineating Phantom for Robotic Tumor Surgery Planning. EMBC 2022: 3495-3501 - [c13]Amirhossein Rasoulian, Soorena Salari, Yiming Xiao:
Weakly Supervised Intracranial Hemorrhage Segmentation Using Hierarchical Combination of Attention Maps from a Swin Transformer. MLCN@MICCAI 2022: 63-72 - [c12]Parinaz Roshanzamir, Hassan Rivaz, Joshua Ahn, Hamza Mirza, Neda Naghdi, Meagan Anstruther, Michele C. Battié, Maryse Fortin, Yiming Xiao:
Joint Paraspinal Muscle Segmentation and Inter-rater Labeling Variability Prediction with Multi-task TransUNet. UNSURE@MICCAI 2022: 125-134 - [i4]Bahareh Behboodi, François-Xavier Carton, Matthieu Chabanas, Sandrine de Ribaupierre, Ole Solheim, Bodil K. R. Munkvold, Hassan Rivaz, Yiming Xiao, Ingerid Reinertsen:
RESECT-SEG: Open access annotations of intra-operative brain tumor ultrasound images. CoRR abs/2207.07494 (2022) - [i3]Owen Hellum, Marta Kersten-Oertel, Yiming Xiao:
Assessment of user-interaction strategies for neurosurgical data navigation and annotation in virtual reality. CoRR abs/2212.08688 (2022) - 2021
- [j16]Nima Masoumi, Clyde J. Belasso, M. Omair Ahmad, Habib Benali, Yiming Xiao, Hassan Rivaz:
Multimodal 3D ultrasound and CT in image-guided spinal surgery: public database and new registration algorithms. Int. J. Comput. Assist. Radiol. Surg. 16(4): 555-565 (2021) - [j15]Yiming Xiao, Jonathan C. Lau, Dimuthu Hemachandra, Greydon Gilmore, Ali R. Khan, Terry M. Peters:
Image Guidance in Deep Brain Stimulation Surgery to Treat Parkinson's Disease: A Comprehensive Review. IEEE Trans. Biomed. Eng. 68(3): 1024-1033 (2021) - [j14]Yiming Xiao, Jonathan C. Lau, Dimuthu Hemachandra, Greydon Gilmore, Ali R. Khan, Terry M. Peters:
Corrections to "Image Guidance in Deep Brain Stimulation Surgery to Treat Parkinson's Disease: A Comprehensive Review". IEEE Trans. Biomed. Eng. 68(5): 1748 (2021) - [c11]Jonatan Reyes, Yiming Xiao, Marta Kersten-Oertel:
Data Imputation and Reconstruction of Distributed Parkinson's Disease Clinical Assessments: A Comparative Evaluation of Two Aggregation Algorithms. CLIP/DCL/LL-COVID19/PPML@MICCAI 2021: 163-173 - [c10]Amir Pirhadi, Hassan Rivaz, M. Omair Ahmad, Yiming Xiao:
Robust Ultrasound-to-Ultrasound Registration for Intra-operative Brain Shift Correction with a Siamese Neural Network. ASMUS@MICCAI 2021: 85-95 - [i2]Alessa Hering, Lasse Hansen, Tony C. W. Mok, Albert C. S. Chung, Hanna Siebert, Stephanie Häger, Annkristin Lange, Sven Kuckertz, Stefan Heldmann, Wei Shao, Sulaiman Vesal, Mirabela Rusu, Geoffrey A. Sonn, Théo Estienne, Maria Vakalopoulou, Luyi Han, Yunzhi Huang, Mikael Brudfors, Yaël Balbastre, Samuel Joutard, Marc Modat, Gal Lifshitz, Dan Raviv, Jinxin Lv, Qiang Li, Vincent Jaouen, Dimitris Visvikis, Constance Fourcade, Mathieu Rubeaux, Wentao Pan, Zhe Xu, Bailiang Jian, Francesca De Benetti, Marek Wodzinski, Niklas Gunnarsson, Huaqi Qiu, Zeju Li, Christoph Großbröhmer, Andrew Hoopes, Ingerid Reinertsen, Yiming Xiao, Bennett A. Landman, Yuankai Huo, Keelin Murphy, Bram van Ginneken, Adrian V. Dalca, Mattias P. Heinrich:
Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning. CoRR abs/2112.04489 (2021) - 2020
- [j13]Mumu Aktar, Donatella Tampieri, Hassan Rivaz, Marta Kersten-Oertel, Yiming Xiao:
Automatic collateral circulation scoring in ischemic stroke using 4D CT angiography with low-rank and sparse matrix decomposition. Int. J. Comput. Assist. Radiol. Surg. 15(9): 1501-1511 (2020) - [j12]Yiming Xiao, Andreas Maier, Wolfgang Wein, Roozbeh Shams, Samuel Kadoury, David Drobny, Marc Modat, Ingerid Reinertsen, Hassan Rivaz, Matthieu Chabanas, Maryse Fortin, Inês Machado, Yangming Ou, Mattias P. Heinrich, Julia A. Schnabel, Xia Zhong:
Evaluation of MRI to Ultrasound Registration Methods for Brain Shift Correction: The CuRIOUS2018 Challenge. IEEE Trans. Medical Imaging 39(3): 777-786 (2020) - [c9]Mumu Aktar, Yiming Xiao, Donatella Tampieri, Hassan Rivaz, Marta Kersten-Oertel:
A Radiomics-Based Machine Learning Approach to Assess Collateral Circulation in Ischemic Stroke on Non-contrast Computed Tomography. ML-CDS/CLIP@MICCAI 2020: 24-33 - [i1]Jie Luo, Guangshen Ma, Sarah F. Frisken, Parikshit Juvekar, Nazim Haouchine, Zhe Xu, Yiming Xiao, Alexandra J. Golby, Patrick J. Codd, Masashi Sugiyama, William M. Wells III:
Do Public Datasets Assure Unbiased Comparisons for Registration Evaluation? CoRR abs/2003.09483 (2020)
2010 – 2019
- 2019
- [j11]Nima Masoumi, Yiming Xiao, Hassan Rivaz:
ARENA: Inter-modality affine registration using evolutionary strategy. Int. J. Comput. Assist. Radiol. Surg. 14(3): 441-450 (2019) - [c8]Wenyao Xia, Maryse Fortin, Joshua Ahn, Hassan Rivaz, Michele C. Battié, Terry M. Peters, Yiming Xiao:
Automatic Paraspinal Muscle Segmentation in Patients with Lumbar Pathology Using Deep Convolutional Neural Network. MICCAI (2) 2019: 318-325 - [e2]Luping Zhou, Nicholas Heller, Yiyu Shi, Yiming Xiao, Raphael Sznitman, Veronika Cheplygina, Diana Mateus, Emanuele Trucco, Xiaobo Sharon Hu, Danny Ziyi Chen, Matthieu Chabanas, Hassan Rivaz, Ingerid Reinertsen:
Large-Scale Annotation of Biomedical Data and Expert Label Synthesis and Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention - International Workshops, LABELS 2019, HAL-MICCAI 2019, and CuRIOUS 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings. Lecture Notes in Computer Science 11851, Springer 2019, ISBN 978-3-030-33641-7 [contents] - 2018
- [j10]Yiming Xiao, Live Eikenes, Ingerid Reinertsen, Hassan Rivaz:
Nonlinear deformation of tractography in ultrasound-guided low-grade gliomas resection. Int. J. Comput. Assist. Radiol. Surg. 13(3): 457-467 (2018) - [j9]Yiming Xiao, Live Eikenes, Ingerid Reinertsen, Hassan Rivaz:
Correction to: Nonlinear deformation of tractography in ultrasound-guided low-grade gliomas resection. Int. J. Comput. Assist. Radiol. Surg. 13(3): 469 (2018) - [j8]Yiming Xiao, Simon Drouin, Ian J. Gerard, Vladimir S. Fonov, Bérengère Aubert-Broche, Yuhan Ma, Marta Kersten-Oertel, Donatella Tampieri, D. Louis Collins:
An augmented-reality system prototype for guiding transcranial Doppler ultrasound examination. Multim. Tools Appl. 77(21): 27789-27805 (2018) - [j7]Roozbeh Shams, Yiming Xiao, François Hébert, Matthew Abramowitz, Rupert Brooks, Hassan Rivaz:
Assessment of Rigid Registration Quality Measures in Ultrasound-Guided Radiotherapy. IEEE Trans. Medical Imaging 37(2): 428-437 (2018) - [e1]Danail Stoyanov, Zeike Taylor, Stephen R. Aylward, João Manuel R. S. Tavares, Yiming Xiao, Amber L. Simpson, Anne L. Martel, Lena Maier-Hein, Shuo Li, Hassan Rivaz, Ingerid Reinertsen, Matthieu Chabanas, Keyvan Farahani:
Simulation, Image Processing, and Ultrasound Systems for Assisted Diagnosis and Navigation - International Workshops, POCUS 2018, BIVPCS 2018, CuRIOUS 2018, and CPM 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16-20, 2018, Proceedings. Lecture Notes in Computer Science 11042, Springer 2018, ISBN 978-3-030-01044-7 [contents] - 2017
- [j6]Mona Omidyeganeh, Yiming Xiao, M. Omair Ahmad, Hassan Rivaz:
Estimation of Strain Elastography from Ultrasound Radio-Frequency Data by Utilizing Analytic Gradient of the Similarity Metric. IEEE Trans. Medical Imaging 36(6): 1347-1358 (2017) - [c7]Nima Masoumi, Yiming Xiao, Hassan Rivaz:
MARCEL (Inter-Modality Affine Registration with CorrELation Ratio): An Application for Brain Shift Correction in Ultrasound-Guided Brain Tumor Resection. BrainLes@MICCAI 2017: 55-63 - [c6]Yiming Xiao, Ali Alamer, Vladimir S. Fonov, Benjamin W. Y. Lo, Donatella Tampieri, D. Louis Collins, Hassan Rivaz, Marta Kersten-Oertel:
Towards Automatic Collateral Circulation Score Evaluation in Ischemic Stroke Using Image Decompositions and Support Vector Machines. CMMI/RAMBO/SWITCH@MICCAI 2017: 158-167 - 2016
- [j5]Yiming Xiao, Charles X. B. Yan, Simon Drouin, Dante De Nigris, Anna Kochanowska, D. Louis Collins:
User-friendly freehand ultrasound calibration using Lego bricks and automatic registration. Int. J. Comput. Assist. Radiol. Surg. 11(9): 1703-1711 (2016) - 2015
- [j4]Yiming Xiao, Vladimir S. Fonov, Silvain Bériault, Fahd Al Subaie, M. Mallar Chakravarty, Abbas F. Sadikot, G. Bruce Pike, D. Louis Collins:
Multi-contrast unbiased MRI atlas of a Parkinson's disease population. Int. J. Comput. Assist. Radiol. Surg. 10(3): 329-341 (2015) - [j3]Yiming Xiao, Vladimir S. Fonov, Silvain Bériault, Ian Gerard, Abbas F. Sadikot, G. Bruce Pike, D. Louis Collins:
Patch-based label fusion segmentation of brainstem structures with dual-contrast MRI for Parkinson's disease. Int. J. Comput. Assist. Radiol. Surg. 10(7): 1029-1041 (2015) - [j2]Silvain Bériault, Yiming Xiao, D. Louis Collins, G. Bruce Pike:
Automatic SWI Venography Segmentation Using Conditional Random Fields. IEEE Trans. Medical Imaging 34(12): 2478-2491 (2015) - [c5]Yiming Xiao, Ian J. Gerard, Vladimir S. Fonov, Dante De Nigris, Catherine Therrien, Bérengère Aubert-Broche, Simon Drouin, Anna Kochanowska, Donatella Tampieri, D. Louis Collins:
Atlas-Guided Transcranial Doppler Ultrasound Examination with a Neuro-Surgical Navigation System: Case Study. CLIP@MICCAI 2015: 19-27 - 2012
- [c4]Yiming Xiao, Lara Bailey, M. Mallar Chakravarty, Silvain Bériault, Abbas F. Sadikot, G. Bruce Pike, D. Louis Collins:
Atlas-Based Segmentation of the Subthalamic Nucleus, Red Nucleus, and Substantia Nigra for Deep Brain Stimulation by Incorporating Multiple MRI Contrasts. IPCAI 2012: 135-145 - [c3]Silvain Bériault, Simon Drouin, Abbas F. Sadikot, Yiming Xiao, D. Louis Collins, G. Bruce Pike:
A Prospective Evaluation of Computer-Assisted Deep Brain Stimulation Trajectory Planning. CLIP 2012: 42-49 - [c2]Silvain Bériault, Yiming Xiao, Lara Bailey, D. Louis Collins, Abbas F. Sadikot, G. Bruce Pike:
Towards Computer-Assisted Deep Brain Stimulation Targeting with Multiple Active Contacts. MICCAI (1) 2012: 487-494 - 2011
- [j1]Mohak Shah, Yiming Xiao, Nagesh K. Subbanna, Simon J. Francis, Douglas L. Arnold, D. Louis Collins, Tal Arbel:
Evaluating intensity normalization on MRIs of human brain with multiple sclerosis. Medical Image Anal. 15(2): 267-282 (2011) - 2010
- [c1]Yiming Xiao, Mohak Shah, Simon J. Francis, Douglas L. Arnold, Tal Arbel, D. Louis Collins:
Optimal Gaussian Mixture Models of Tissue Intensities in Brain MRI of Patients with Multiple-Sclerosis. MLMI 2010: 165-173
Coauthor Index
[j33] [j32] [j30] [i32] [i30] [i29] [i28] [j28] [j27] [c33] [c32] [c31] [c30] [i27] [i25] [i24] [i22] [j24] [c27] [c24] [i19] [i18] [i15] [i14] [i13] [i12] [j23] [j22] [j21] [c21] [c20] [c19] [c18] [c17] [c16] [i10] [i9] [i8] [i7] [i6] [i5] [c12] [i4] [j16] [c10] [j13] [j12] [c9] [j11] [c8] [e2] [j10] [j9] [j7] [e1] [j6] [c7] [c6]
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