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cs.CV2026
Rotation Equivariant Convolutions in Deformable Registration of Brain MRI
Arghavan Rezvani, Kun Han, Anthony T. Wu +2
Image registration is a fundamental task that aligns anatomical structures between images. While CNNs perform well, they lack rotation equivariance - a rotated input does not produ…
cs.CV2025
MoME: Mixture of Visual Language Medical Experts for Medical Imaging Segmentation
Arghavan Rezvani, Xiangyi Yan, Anthony T. Wu +3
In this study, we propose MoME, a Mixture of Visual Language Medical Experts, for Medical Image Segmentation. MoME adapts the successful Mixture of Experts (MoE) paradigm, widely u…
cs.CV2025
XOCT: Enhancing OCT to OCTA Translation via Cross-Dimensional Supervised Multi-Scale Feature Learning
Pooya Khosravi, Kun Han, Anthony T. Wu +3
Optical Coherence Tomography Angiography (OCTA) and its derived en-face projections provide high-resolution visualization of the retinal and choroidal vasculature, which is critica…