cortical mesh generation 1fetal MRI 1morphoelastic folding 1simulation pipelines 1tetrahedral meshing 1
From the 1 of 3 linked papers with an AI index.
3 papers
math-ph2026
CORTET: Robust generation of simulation-ready tetrahedral meshes of the fetal cerebral cortex
Davood Shahsavari, Irina Grigorescu, Jiaxin Xiao +10
The paper introduces CORTET, an automated method that converts cortical surface models from fetal MRI into high‑quality tetrahedral meshes suitable for physics‑based brain folding…
cs.LG2025
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…
eess.IV2024
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…