Author

De-Gui Zhi

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Preprint Oct 2026

Surface-volume self-supervised representation learning of brain MRI for genetic discovery

Existing genome-wide association studies (GWAS) of brain imaging provide predefined or deep-learning-derived imaging phenotypes, yet these phenotypes come from either volumetric scans or cortical surface meshes, so each captures only part of the heritable variation in brain anatomy. Here we introduce MEVA (Mesh-Enhance...

Tian Xia, Nuo Chen, Zi-Hao Zhu et al. · 0 citations

Preprint Aug 2026

AnaDiffusion: Anatomically CompositionalLatent Diffusion for Controllable 3D Brain MRI Generation

3D brain MRI generation has made significant advances in medical imaging, simulation, and controllable anatomical analysis. However, existing generative models typically synthesize 3D volumes monolithically, often overlooking regional anatomical structures and limiting local controllability. To address these limitation...

Hui-Wen Han, Lu Liu, Bangya Liu et al. · 0 citations