04:00
2026-07-27
arxiv.org
machine-learning
Toward High-Fidelity 3D Point-Cloud Learning for Brain Folding Morphology Prediction Using Trans-Unet
Researchers propose Trans-Unet, a novel framework that transforms 3D point-cloud data into a 2D grid domain and uses a U-shaped hybrid model integrating CNNs and self-attention, to predict brain foldi…