3 papers
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.CV2025
DUSTrack: Semi-automated point tracking in ultrasound videos
Praneeth Namburi, Roger Pallarès-López, Jessica Rosendorf +2
Ultrasound technology enables safe, non-invasive imaging of dynamic tissue behavior, making it a valuable tool in medicine, biomechanics, and sports science. However, accurately tr…