3 papers
eess.IV2026
Protocol generalisation for brain tissue microstructure estimation via hypernetwork-controlled geometric deep learning
Andrea Brigliadori, Leevi Kerkela, Hui Zhang
Brain tissue microstructure estimation with machine learning provides higher computational efficiency than conventional fitting. However, machine learning still presents important…
physics.med-ph2026
Rotation-invariant graph message passing enables acquisition protocol generalisation in learning-based brain microstructure estimation
Leevi Kerkelä, Hui Zhang
Estimating brain microstructure has important applications in medicine and neuroscience. Diffusion-weighted magnetic resonance imaging enables measuring microstructure \textit{in v…
physics.chem-ph2025
A Scalable and Quantum-Accurate Foundation Model for Biomolecular Force Field via Linearly Tensorized Quadrangle Attention
Qun Su, Kai Zhu, Qiaolin Gou +11
Accurate atomistic biomolecular simulations are vital for disease mechanism understanding, drug discovery, and biomaterial design, but existing simulation methods exhibit significa…