2 papers
eess.IV2026
Fast Multi-Stack Slice-to-Volume Reconstruction via Multi-Scale Unrolled Optimization
Margherita Firenze, Sean I. Young, Clinton J. Wang +5
Fully convolutional networks have become the backbone of modern medical imaging due to their ability to learn multi-scale representations and perform end-to-end inference. Yet thei…
cs.CV2025
Learning General-Purpose Biomedical Volume Representations using Randomized Synthesis
Neel Dey, Benjamin Billot, Hallee E. Wong +5
Current volumetric biomedical foundation models struggle to generalize as public 3D datasets are small and do not cover the broad diversity of medical procedures, conditions, anato…