3 accepted papers
Publicly available full-field digital mammography (FFDM) datasets remain limited in size, clinical annotations, and vendor diversity, hindering the development of robust models. We introduce LUMINA, a curated, multi-vendor FFDM dataset that explicitly encodes acquisition energy and vendor metadata t
Accurate segmentation of organs from abdominal CT scans is essential for clinical applications such as diagnosis, treatment planning, and patient monitoring. To handle challenges of heterogeneity in organ shapes, sizes, and complex anatomical relationships, we propose a Multi decoder network (MDNet)…
We introduce ViCTr (Vital Consistency Transfer), a framework for advancing medical image synthesis through a principled integration with Rectified Flow trajectories. Unlike traditional approaches, we modify the Tweedie formulation to accommodate linear trajectories within the Rectified Flow framewor…