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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…
q-bio.BM2026
An accurate nucleic acid-small molecule docking framework via geometric deep learning with large-scale pretraining
Shi Li, Xujun Zhang, Mingquan Liu +5
Nucleic acids are increasingly recognized as therapeutic targets beyond conventional protein-centered drug discovery, yet accurate and efficient docking of small molecules to nucle…
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…