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cs.CV2026
Cohort-Scale Neural Atlases of Ultrasound Video
Zhuorui Zhang, Roger Pallarès-López, Xuan Wu +2
Ultrasound is the most widely used real-time imaging modality in clinical practice, yet per-frame video annotation remains a major bottleneck: expert labels are scarce and costly,…
cs.CV2026
Match4Annotate: Propagating Sparse Video Annotations via Implicit Neural Feature Matching
Zhuorui Zhang, Roger Pallarès-López, Praneeth Namburi +1
Acquiring per-frame video annotations remains a primary bottleneck for deploying computer vision in specialized domains such as medical imaging, where expert labeling is slow and c…
cs.CV2026
Surg-R1: A Hierarchical Reasoning Foundation Model for Scalable and Interpretable Surgical Decision Support with Multi-Center Clinical Validation
Jian Jiang, Chenxi Lin, Yiming Gu +24
Surgical scene understanding demands not only accurate predictions but also interpretable reasoning that surgeons can verify against clinical expertise. However, existing surgical…