most citedAdvancing Problem-Based Learning in Biomedical Engineering in the Era of Generative AI

2 citations · 2 across the 6 of their papers we have counts for

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cs.CV2026

RobustMedSAM: Degradation-Resilient Medical Image Segmentation via Robust Foundation Model Adaptation

Jieru Li, Matthew Chen, Micky C. Nnamdi +3

Medical image segmentation models built on Segment Anything Model (SAM) achieve strong performance on clean benchmarks, yet their reliability often degrades under realistic image c…

cs.CV2026

Monocular Markerless Motion Capture Enables Quantitative Assessment of Upper Extremity Reachable Workspace

Seth Donahue, J. D. Peiffer, R. Tyler Richardson +7

To validate a clinically accessible approach for quantifying the Upper Extremity Reachable Workspace (UERW) using a single (monocular) camera and Artificial Intelligence (AI)-drive…