CVPR 2026 Open Access Repository

Bridging AI and Medical Reality: Computer Vision for Real-world Clinical Translation

Instance Awareness of Multi-class Semantic Segmentation Loss Functions: Soumya Snigdha Kundu,

Florian Kofler,

Marina Ivory,

Hendrik Möller,

Jonathan Shapey,

Tom Vercauteren; [pdf] [arXiv]
[bibtex]
@InProceedings{Kundu_2026_CVPR, author = {Kundu, Soumya Snigdha and Kofler, Florian and Ivory, Marina and M\"oller, Hendrik and Shapey, Jonathan and Vercauteren, Tom}, title = {Instance Awareness of Multi-class Semantic Segmentation Loss Functions}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {6680-6688} }
TouchMap-OR: Multi-View 3D Mapping of Hand-Surface Contacts: Sophokles Ktistakis,

Rui Wang,

Bastian Grande,

Hugo Sax; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Ktistakis_2026_CVPR, author = {Ktistakis, Sophokles and Wang, Rui and Grande, Bastian and Sax, Hugo}, title = {TouchMap-OR: Multi-View 3D Mapping of Hand-Surface Contacts}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {6670-6679} }
Explicit Ordinal Learning for Multimodal MRI-Based Prostate Cancer Grading: Michael S. Larsen,

Mohammed R.S. Sunoqrot,

Tone Frost Bathen,

Mattijs Elschot,

Gabriel Kiss,

Frank Lindseth; [pdf]
[bibtex]
@InProceedings{Larsen_2026_CVPR, author = {Larsen, Michael S. and Sunoqrot, Mohammed R.S. and Bathen, Tone Frost and Elschot, Mattijs and Kiss, Gabriel and Lindseth, Frank}, title = {Explicit Ordinal Learning for Multimodal MRI-Based Prostate Cancer Grading}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {6689-6698} }
Bridging the Simulation-to-Real Domain Gap in High-Resolution CT Motion Correction with a Dual-CycleGAN Framework: Farhan Sadik,

Anika Mathur,

Michael Wan,

Christopher L. Newman,

Stuart J. Warden,

Rachel K. Surowiec; [pdf]
[bibtex]
@InProceedings{Sadik_2026_CVPR, author = {Sadik, Farhan and Mathur, Anika and Wan, Michael and Newman, Christopher L. and Warden, Stuart J. and Surowiec, Rachel K.}, title = {Bridging the Simulation-to-Real Domain Gap in High-Resolution CT Motion Correction with a Dual-CycleGAN Framework}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {6782-6792} }
Exploiting Unpaired Dermatology Data for Multimodal Foundation Models via Transitive Cross-Modal Linking: Niccolo Marini,

Zhaohui Liang,

Sivaramakrishnan Rajaraman,

Zhiyun Xue,

Sameer Antani; [pdf] [supp]
[bibtex]
@InProceedings{Marini_2026_CVPR, author = {Marini, Niccolo and Liang, Zhaohui and Rajaraman, Sivaramakrishnan and Xue, Zhiyun and Antani, Sameer}, title = {Exploiting Unpaired Dermatology Data for Multimodal Foundation Models via Transitive Cross-Modal Linking}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {6730-6740} }
Seeing Through the Tool: A Controlled Benchmark for Occlusion Robustness in Foundation Segmentation Models: Nhan Ho,

Luu Le,

Thanh-Huy Nguyen,

Thien Nguyen,

Xiaofeng Liu,

Ulas Bagci; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Ho_2026_CVPR, author = {Ho, Nhan and Le, Luu and Nguyen, Thanh-Huy and Nguyen, Thien and Liu, Xiaofeng and Bagci, Ulas}, title = {Seeing Through the Tool: A Controlled Benchmark for Occlusion Robustness in Foundation Segmentation Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {6650-6659} }
Generative Domain-Invariant Learning for Robust Medical Image Segmentation under Clinical Heterogeneity: Jingjing Li,

Jingjun Yi,

Huimin Huang,

Wei Ji,

Hao Zheng,

Haolan Zhan,

Yawen Huang,

Yuexiang Li,

Yefeng Zheng; [pdf]
[bibtex]
@InProceedings{Li_2026_CVPR, author = {Li, Jingjing and Yi, Jingjun and Huang, Huimin and Ji, Wei and Zheng, Hao and Zhan, Haolan and Huang, Yawen and Li, Yuexiang and Zheng, Yefeng}, title = {Generative Domain-Invariant Learning for Robust Medical Image Segmentation under Clinical Heterogeneity}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {6708-6718} }
PRS-Med: Position Reasoning Segmentation in Medical Imaging: Quoc-Huy Trinh,

Minh-Van Nguyen,

Jun Zeng,

Debesh Jha,

Ulas Bagci; [pdf] [arXiv]
[bibtex]
@InProceedings{Trinh_2026_CVPR, author = {Trinh, Quoc-Huy and Nguyen, Minh-Van and Zeng, Jun and Jha, Debesh and Bagci, Ulas}, title = {PRS-Med: Position Reasoning Segmentation in Medical Imaging}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {6814-6824} }
Improving Radiation Therapy with Personalized Skeletal Models: Atharva Peshkar,

David H. Thomas,

Willem A. Schreuder,

Sarah A. Milgrom,

Danna Gurari; [pdf]
[bibtex]
@InProceedings{Peshkar_2026_CVPR, author = {Peshkar, Atharva and Thomas, David H. and Schreuder, Willem A. and Milgrom, Sarah A. and Gurari, Danna}, title = {Improving Radiation Therapy with Personalized Skeletal Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {6771-6781} }
Anatomy-Aware Unsupervised Detection and Localization of Retinal Abnormalities in Optical Coherence Tomography: Tania Haghighi,

Sina Gholami,

Hamed Tabkhi,

Minhaj Nur Alam; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Haghighi_2026_CVPR, author = {Haghighi, Tania and Gholami, Sina and Tabkhi, Hamed and Alam, Minhaj Nur}, title = {Anatomy-Aware Unsupervised Detection and Localization of Retinal Abnormalities in Optical Coherence Tomography}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {6640-6649} }
EchoAgent: Towards Reliable Echocardiography Interpretation with "Eyes", "Hands" and "Minds": Qin Wang,

Zhiqing He,

Yu Liu,

Bowen Guo,

Zeju Li,

Miao Zhao,

Wenhao Ju,

Zhiling Luo,

Xianhong Shu,

Yi Guo,

Yuanyuan Wang; [pdf] [arXiv]
[bibtex]
@InProceedings{Wang_2026_CVPR, author = {Wang, Qin and He, Zhiqing and Liu, Yu and Guo, Bowen and Li, Zeju and Zhao, Miao and Ju, Wenhao and Luo, Zhiling and Shu, Xianhong and Guo, Yi and Wang, Yuanyuan}, title = {EchoAgent: Towards Reliable Echocardiography Interpretation with ''Eyes'', ''Hands'' and ''Minds''}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {6835-6845} }
MIMIC-CXR-VQA: A Large-Scale LLM-Annotated Dataset and Comparative Benchmark for Medical Visual Question Answering: Mohamed Aas-Alas,

Miquel Obrador-Reina,

Luis-Jesus Marhuenda,

Alberto Albiol,

Roberto Paredes,

Francisco Albiol; [pdf]
[bibtex]
@InProceedings{Aas-Alas_2026_CVPR, author = {Aas-Alas, Mohamed and Obrador-Reina, Miquel and Marhuenda, Luis-Jesus and Albiol, Alberto and Paredes, Roberto and Albiol, Francisco}, title = {MIMIC-CXR-VQA: A Large-Scale LLM-Annotated Dataset and Comparative Benchmark for Medical Visual Question Answering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {6563-6572} }
Dissecting Model Failures in Abdominal Aortic Aneurysm Segmentation through Explainability-Driven Analysis: Abu Noman Md Sakib,

Merjulah Roby,

Zijie Zhang,

Satish Muluk,

Mark K. Eskandari,

Ender A. Finol; [pdf] [arXiv]
[bibtex]
@InProceedings{Sakib_2026_CVPR, author = {Sakib, Abu Noman Md and Roby, Merjulah and Zhang, Zijie and Muluk, Satish and Eskandari, Mark K. and Finol, Ender A.}, title = {Dissecting Model Failures in Abdominal Aortic Aneurysm Segmentation through Explainability-Driven Analysis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {6793-6802} }
How Useful Are Vision Foundation Model Features for Out-of-the-Box Disease Progression Prediction?: Basar Demir,

Soumitri Chattopadhyay,

Thomas Hastings Greer,

Boqi Chen,

Marc Niethammer; [pdf] [supp]
[bibtex]
@InProceedings{Demir_2026_CVPR, author = {Demir, Basar and Chattopadhyay, Soumitri and Greer, Thomas Hastings and Chen, Boqi and Niethammer, Marc}, title = {How Useful Are Vision Foundation Model Features for Out-of-the-Box Disease Progression Prediction?}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {6602-6611} }
HiPPE: Hierarchical and Interpretable PPE Recognition in Healthcare Settings: Wanzhao Yang,

Syed Anwar,

Sifan Yuan,

Beomseok Park,

Aleksandra Sarcevic,

Marius G. Linguraru,

Randall S. Burd,

Ivan Marsic; [pdf]
[bibtex]
@InProceedings{Yang_2026_CVPR, author = {Yang, Wanzhao and Anwar, Syed and Yuan, Sifan and Park, Beomseok and Sarcevic, Aleksandra and Linguraru, Marius G. and Burd, Randall S. and Marsic, Ivan}, title = {HiPPE: Hierarchical and Interpretable PPE Recognition in Healthcare Settings}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {6846-6855} }
A Multicenter Benchmark of Multiple Instance Learning Models for Lymphoma Subtyping from HE-stained Whole Slide Images: Rao Muhammad Umer,

Daniel Sens,

Jonathan Noll,

Sohom Dey,

Christian Matek,

Lukas Wolfseher,

Rainer Spang,

Ralf Huss,

Johannes Raffler,

Sarah Reinke,

Ario Sadafi,

Wolfram Klapper,

Katja Steiger,

Kristina Schwamborn,

Carsten Marr; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Umer_2026_CVPR, author = {Umer, Rao Muhammad and Sens, Daniel and Noll, Jonathan and Dey, Sohom and Matek, Christian and Wolfseher, Lukas and Spang, Rainer and Huss, Ralf and Raffler, Johannes and Reinke, Sarah and Sadafi, Ario and Klapper, Wolfram and Steiger, Katja and Schwamborn, Kristina and Marr, Carsten}, title = {A Multicenter Benchmark of Multiple Instance Learning Models for Lymphoma Subtyping from HE-stained Whole Slide Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {6825-6834} }
Profile-Specific 3DMM Regression from a Single Lateral Face Image: Taiki Kanaya,

Hideo Saito; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Kanaya_2026_CVPR, author = {Kanaya, Taiki and Saito, Hideo}, title = {Profile-Specific 3DMM Regression from a Single Lateral Face Image}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {6660-6669} }
GeoSAE: Geometric Prior-Guided Layer-Wise Sparse Autoencoder Annotation of Brain MRI Foundation Models: Favour Nerrise,

Lucy Yin,

Mohammad H. Abbasi,

Kilian M. Pohl,

Ehsan Adeli; [pdf] [arXiv]
[bibtex]
@InProceedings{Nerrise_2026_CVPR, author = {Nerrise, Favour and Yin, Lucy and Abbasi, Mohammad H. and Pohl, Kilian M. and Adeli, Ehsan}, title = {GeoSAE: Geometric Prior-Guided Layer-Wise Sparse Autoencoder Annotation of Brain MRI Foundation Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {6741-6749} }
Controllable Synthetic Human Generation with Semantic Verification for PPE Analysis: Sifan Yuan,

Syed Muhammad Anwar,

Wanzhao Yang,

Tamara O. Sharf,

Dylan W. Arkowitz,

Alice Currie,

Aleksandra Sarcevic,

Marius George Linguraru,

Ivan Marsic; [pdf]
[bibtex]
@InProceedings{Yuan_2026_CVPR, author = {Yuan, Sifan and Anwar, Syed Muhammad and Yang, Wanzhao and Sharf, Tamara O. and Arkowitz, Dylan W. and Currie, Alice and Sarcevic, Aleksandra and Linguraru, Marius George and Marsic, Ivan}, title = {Controllable Synthetic Human Generation with Semantic Verification for PPE Analysis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {6856-6865} }
Seeing the Journey: Progressive Multi-modal Fusion Across the Clinical Timeline for Head-and-neck Cancer Prognosis: Nazira Dunbayeva,

Ufaq Khan,

Imran Razzak,

Yutong Xie; [pdf]
[bibtex]
@InProceedings{Dunbayeva_2026_CVPR, author = {Dunbayeva, Nazira and Khan, Ufaq and Razzak, Imran and Xie, Yutong}, title = {Seeing the Journey: Progressive Multi-modal Fusion Across the Clinical Timeline for Head-and-neck Cancer Prognosis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {6621-6629} }
INAR: Implicit Neural Anatomically Guided Reconstruction for Sodium MRI: Asli Alpman,

Hongjiang Wei,

Chunlei Liu; [pdf]
[bibtex]
@InProceedings{Alpman_2026_CVPR, author = {Alpman, Asli and Wei, Hongjiang and Liu, Chunlei}, title = {INAR: Implicit Neural Anatomically Guided Reconstruction for Sodium MRI}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {6573-6581} }
AGA3DNet: Anatomy-Guided Gaussian Priors with Multi-view xLSTM for 3D Brain MRI Subtype Classification: Peiyu Duan,

Xueqi Guo,

Sepehr Farhand,

Mehmet Berk Sahin,

Xinyuan Zheng,

James S. Duncan,

Gerardo Hermosillo Valadez,

Yoshihisa Shinagawa; [pdf] [arXiv]
[bibtex]
@InProceedings{Duan_2026_CVPR, author = {Duan, Peiyu and Guo, Xueqi and Farhand, Sepehr and Sahin, Mehmet Berk and Zheng, Xinyuan and Duncan, James S. and Valadez, Gerardo Hermosillo and Shinagawa, Yoshihisa}, title = {AGA3DNet: Anatomy-Guided Gaussian Priors with Multi-view xLSTM for 3D Brain MRI Subtype Classification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {6612-6620} }
UniSemAlign: Text-Prototype Alignment with a Foundation Encoder for Semi-Supervised Histopathology Segmentation: Le Van Thai,

Tien Dat Nguyen,

Hoai Nhan Pham,

Lan Anh Dinh Thi,

Duy-Dong Nguyen,

Ngoc Lam Quang Bui; [pdf] [arXiv]
[bibtex]
@InProceedings{Van_Thai_2026_CVPR, author = {Van Thai, Le and Nguyen, Tien Dat and Pham, Hoai Nhan and Thi, Lan Anh Dinh and Nguyen, Duy-Dong and Bui, Ngoc Lam Quang}, title = {UniSemAlign: Text-Prototype Alignment with a Foundation Encoder for Semi-Supervised Histopathology Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {6803-6813} }
SurgFed: Language-guided Multi-Task Federated Learning for Surgical Video Understanding: Zheng Fang,

Ziwei Niu,

Ziyue Wang,

Zhu Zhuo,

Haofeng Liu,

Shuyang Qian,

Jun Xia,

Yueming Jin; [pdf] [arXiv]
[bibtex]
@InProceedings{Fang_2026_CVPR, author = {Fang, Zheng and Niu, Ziwei and Wang, Ziyue and Zhuo, Zhu and Liu, Haofeng and Qian, Shuyang and Xia, Jun and Jin, Yueming}, title = {SurgFed: Language-guided Multi-Task Federated Learning for Surgical Video Understanding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {6630-6639} }
RobustMedSAM: Degradation-Resilient Medical Image Segmentation via Robust Foundation Model Adaptation: Jieru Li,

Matthew Chen,

Micky C. Nnamdi,

J. Ben Tamo,

Benoit L. Marteau,

May D. Wang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Li_2026_CVPR, author = {Li, Jieru and Chen, Matthew and Nnamdi, Micky C. and Ben Tamo, J. and Marteau, Benoit L. and Wang, May D.}, title = {RobustMedSAM: Degradation-Resilient Medical Image Segmentation via Robust Foundation Model Adaptation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {6699-6707} }
RANGER: Sparsely-Gated Mixture-of-Experts with Adaptive Retrieval Re-ranking for Pathology Report Generation: Yixin Chen,

Ziyu Su,

Hikmat Khan,

Muhammad Khalid Khan Niazi; [pdf] [arXiv]
[bibtex]
@InProceedings{Chen_2026_CVPR, author = {Chen, Yixin and Su, Ziyu and Khan, Hikmat and Niazi, Muhammad Khalid Khan}, title = {RANGER: Sparsely-Gated Mixture-of-Experts with Adaptive Retrieval Re-ranking for Pathology Report Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {6582-6591} }
Beyond Fluency: A Clinical Benchmark and Anomaly-Enhanced Baseline for Spine MRI Report Generation: Bruno Palau,

Franziska Vogt,

Daria Laslo,

Haobo Li,

Ender Konukoglu,

Maria Monzon,

Catherine R Jutzeler; [pdf] [supp]
[bibtex]
@InProceedings{Palau_2026_CVPR, author = {Palau, Bruno and Vogt, Franziska and Laslo, Daria and Li, Haobo and Konukoglu, Ender and Monzon, Maria and Jutzeler, Catherine R}, title = {Beyond Fluency: A Clinical Benchmark and Anomaly-Enhanced Baseline for Spine MRI Report Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {6759-6770} }
Model-Assisted Tree Structure Discovery with Incomplete Annotations in CT Images: Yaowen Chen,

Shanshan Zhu,

Rallabandi Venkata Purna Subramanyam,

Lorenzo Kogler Anele,

Qi Tang,

Sven Jager; [pdf]
[bibtex]
@InProceedings{Chen_2026_CVPR, author = {Chen, Yaowen and Zhu, Shanshan and Subramanyam, Rallabandi Venkata Purna and Anele, Lorenzo Kogler and Tang, Qi and Jager, Sven}, title = {Model-Assisted Tree Structure Discovery with Incomplete Annotations in CT Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {6592-6601} }
Towards Clinically Reliable Cross-Domain Medical Image Segmentation via Hallucination-Calibrated Representation Learning: Jingjing Li,

Jingjun Yi,

Wei Ji,

Hao Zheng,

Huimin Huang,

Yawen Huang,

Yuexiang Li,

Yefeng Zheng; [pdf]
[bibtex]
@InProceedings{Li_2026_CVPR, author = {Li, Jingjing and Yi, Jingjun and Ji, Wei and Zheng, Hao and Huang, Huimin and Huang, Yawen and Li, Yuexiang and Zheng, Yefeng}, title = {Towards Clinically Reliable Cross-Domain Medical Image Segmentation via Hallucination-Calibrated Representation Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {6719-6729} }
OGA-AID: Clinician-in-the-loop AI Report Drafting Assistant for Multimodal Observational Gait Analysis in Post-Stroke Rehabilitation: Khoi T. N. Nguyen,

Nghia D. Nguyen,

Hui Yu Koh,

Patrick W. H. Kwong,

Karen Sui Geok Chua,

Ananda Sidarta,

Baosheng Yu; [pdf] [arXiv]
[bibtex]
@InProceedings{Nguyen_2026_CVPR, author = {Nguyen, Khoi T. N. and Nguyen, Nghia D. and Koh, Hui Yu and Kwong, Patrick W. H. and Chua, Karen Sui Geok and Sidarta, Ananda and Yu, Baosheng}, title = {OGA-AID: Clinician-in-the-loop AI Report Drafting Assistant for Multimodal Observational Gait Analysis in Post-Stroke Rehabilitation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {6750-6758} }