Dr Yiming Xiao

Biography

Dr. Yiming Xiao is a medical technology researcher. In his research, he combines novel techniques in medical imaging principles, computer vision, and machine learning to improve the efficiency and accuracy of image-based diagnosis and medical procedures for the brain and body. He obtained his Ph.D. in Biomedical Engineering at McGill University in 2016 on the surgical treatment of Parkinson's disease. Soon after, he joined the PERFORM Centre as a PERFORM postdoc fellow. From 2018-2020, he was a CIHR and BrainsCAN postdoctoral researcher at the Robarts Research Institute of Western University.  

​He is the co-organizer of 2023 and 2024 MICCAI workshop on Machine Learning in Clinical Neuroimaging (MLCN), 2020 MICCAI Learn2Reg Image registration Challenge, CuRIOUS 2018, 2019 and 2022 MICCAI Challenge, and the joint AECAI-CereVis 2018 MICCAI Workshop on medical data visualization. He is also the area chair of MICCAI 2024 - 2026.

Selected Journal Publications

1. T. Koleilat, H. Rivaz, Y. Xiao, "CLIP-SVD: Efficient and Interpretable Vision–Language Adaptation via Singular Values," Transactions on Machine Learning Research (TMLR), 2026. 
2. S. Salari, C. Spino, L.A. Pharand, F. Lathuiliere, H. Rivaz, S. Beriault, Y. Xiao, "DINOMotion: advanced robust tissue motion tracking with DINOv2 in 2D-Cine MRI-guided radiotherapy," in IEEE Transactions on Biomedical Engineering, 7(3), 1171-1180, 2025.
3. T Koleilat, H. Asgariandehkordi, H. Rivaz, Y. Xiao, "MedCLIP-SAMv2: Towards Universal Text-Driven Medical Image Segmentation," Medical Image Analysis, 106, 103749, 2025.
4. Z. Qiu, H. Rivaz, Y. Xiao, "Joint enhancement of automatic chest X-ray diagnosis and radiological gaze prediction with multi-stage cooperative learning," Medical Physics, 52(7), e17877, 2025.
5. P. Spiegler, A. Hairrpoush, Y. Xiao, "Towards user-centred interactive medical image segmentation in VR with an assistive AI agent," Virtual Reality, 30(1), 20, 2025.
6. P. Spiegler*, H. Abdelsalam*, O. Hellum, A. Hadjinicolaou, A. Weil, Y. Xiao, "PreVISE: An Efficient Virtual Reality System for SEEG Surgical Planning," Virtual Reality, 29, 13, 2025.
7. A. Harirpoush, G. Rakovich, M. Kersten-Oertel, Y. Xiao, "Virtual Reality-Based Preoperative Planning for Trocar Placement in Thoracic Surgery: A Preliminary Study," Healthcare Technology Letters, 11(6) ,418-426, 2024.  
8. O. Hellum, C. Steele, Y. Xiao, “SONIA: an immersive customizable virtual reality system for the education and exploration of brain networks,” Frontiers in Virtual Reality, 2024.
9. Y. Xiao, T.M. Peters, A.R. Khan, "Characterizing white matter alterations subject to clinical laterality in drug-naïve de novo Parkinson’s disease," Human Brain Mapping, 2021.
10. Y. Xiao, V. Fonov, S. Beriault, F.A. Subaie, M.M. Chakravarty, A.F. Sadikot, G. Bruce Pike, and D. Louis Collins, “Multi-contrast unbiased MRI atlas of a Parkinson's disease population,” International Journal of Computer-Assisted Radiology and Surgery, 10(3), 329-341, 2015.

Selected Conference Publications

1. E. Rianville, M. Ananian, T. Mirolla, H. Rivaz, Y. Xiao, "VesselSim: learning 3D blood vessel segmentation without expert annotations," The 29th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2026. [Early acceptance, top 9% of submissions]
2. T. Koleilat, H. Rivaz, Y. Xiao, "Evi-Steer: Learning to Steer Biomedical Vision-Language Models through Efficient and Generalizable Evidential Tuning," The 29th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2026. [Early acceptance, top 9% of submissions]
3. T. Koleilat, H. Asgariandehkordi, O. Nejatimanzari, B. Barile, H. Rivaz*, Y. Xiao*,  "MedCLIPSeg: Probabilistic Vision-Language Adaptation for Data-Efficient and Generalizable Medical Image Segmentation," The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026. 
4. O. Nejatimanzari, H. Asgariandehkordi, T. Koleilat, Y. Xiao, H. Rivaz, "Sparse Spectral LoRA: Routed Experts for Medical VLMs," The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026.
5. T Koleilat, H. Asgariandehkordi, H. Rivaz, Y. Xiao, "BiomedCoOp: Learning to Prompt for Biomedical Vision-Language Models," The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025. 
6. S. Salari, A. Harirpoush, H. Rivaz, Y. Xiao, "CABLD: Contrast-Agnostic Brain Landmark Detection with Consistency-Based Regularization,", IEEE/CVF International Conference on Computer Vision (ICCV), 2025.
7. R Teimouri, M. Kersten-Oertel, Y. Xiao, "CT-based brain ventricle segmentation via diffusion Schrödinger Bridge without target domain ground truths," The 27th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 15008, 135-144, 2024. [Nomination for the best paper award, top 1.6% of submissions]
8. T Koleilat, H. Rivaz, Y. Xiao, "MedCLIP-SAM: Bridging text and image towards universal medical image segmentation," The 27th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2024.​
9. S. Salari, A. Rasoulian, H. Rivaz, Y. Xiao, "FocalErrorNet: Uncertainty-aware focal modulation network for inter-modal registration error estimation in ultrasound-guided neurosurgery," accepted at the 26th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2023. [Early acceptance, top 13% of submissions]
10. S. Salari, A. Rasoulian, H. Rivaz, Y. Xiao, "Towards multi-modal anatomical landmark detection for ultrasound-guided brain tumor resection with contrastive learning," accepted at the 26th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2023.