2 papers
cs.CV2026
MedCLIPSeg: Probabilistic Vision-Language Adaptation for Data-Efficient and Generalizable Medical Image Segmentation
Taha Koleilat, Hojat Asgariandehkordi, Omid Nejati Manzari +3
Medical image segmentation remains challenging due to limited annotations for training, ambiguous anatomical features, and domain shifts. While vision-language models such as CLIP…
cs.AI2024
Probabilistic Temporal Prediction of Continuous Disease Trajectories and Treatment Effects Using Neural SDEs
Joshua Durso-Finley, Berardino Barile, Jean-Pierre Falet +3
Personalized medicine based on medical images, including predicting future individualized clinical disease progression and treatment response, would have an enormous impact on heal…