2 papers
cs.CV2026
Atlas-Assisted Segment Anything Model for Fetal Brain MRI (FeTal-SAM)
Qi Zeng, Weide Liu, Bo Li +3
This paper presents FeTal-SAM, a novel adaptation of the Segment Anything Model (SAM) tailored for fetal brain MRI segmentation. Traditional deep learning methods often require lar…
cs.CV2026
PathoSyn: Imaging-Pathology MRI Synthesis via Disentangled Deviation Diffusion
Jian Wang, Sixing Rong, Jiarui Xing +2
We present PathoSyn, a unified generative framework for Magnetic Resonance Imaging (MRI) image synthesis that reformulates imaging-pathology as a disentangled additive deviation on…