1 citations · 1 across the 4 of their papers we have counts for
4 papers
CORTET: Robust generation of simulation-ready tetrahedral meshes of the fetal cerebral cortex
Davood Shahsavari, Irina Grigorescu, Katherine R. Long +10
Every human brain folds differently, and such natural variation confounds the search for imaging biomarkers of neurodevelopmental disorders. Physics-based simulation can help deter…
SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments
Simon Dahan, Gabriel Bénédict, Logan Z. J. Williams +4
Current AI frameworks for brain decoding and encoding, typically train and test models within the same datasets. This limits their utility for brain computer interfaces (BCI) or ne…
The Developing Human Connectome Project: A Fast Deep Learning-based Pipeline for Neonatal Cortical Surface Reconstruction
Qiang Ma, Kaili Liang, Liu Li +6
The Developing Human Connectome Project (dHCP) aims to explore developmental patterns of the human brain during the perinatal period. An automated processing pipeline has been deve…
Spatio-Temporal Encoding of Brain Dynamics with Surface Masked Autoencoders
Simon Dahan, Logan Z. J. Williams, Yourong Guo +2
The development of robust and generalisable models for encoding the spatio-temporal dynamics of human brain activity is crucial for advancing neuroscientific discoveries. However,…