2 papers
cs.CV2026
AnaDiffusion: Anatomically CompositionalLatent Diffusion for Controllable 3D Brain MRI Generation
Huiwen Han, Lulin Liu, Bangya Liu +8
3D brain MRI generation has made significant advances in medical imaging, simulation, and controllable anatomical analysis. However, existing generative models typically synthesize…
cs.DC2026
TorchGWAS : GPU-accelerated GWAS for thousands of quantitative phenotypes
Xingzhong Zhao, Ziqian Xie, Islam +5
Motivation: Modern bioinformatics workflows, particularly in imaging and representation learning, can generate thousands to tens of thousands of quantitative phenotypes from a sing…