Toward High-Fidelity 3D Point-Cloud Learning for Brain Folding Morphology Prediction Using Trans-Unet
Geran Zhao, Xiaotian Li, Poorya Chavoshnejad, Mir Jalil Razavi, Akbar Solhtalab, Lijun Yin, Guifang Fu
cs.CV, eess.IV, stat.ME, stat.ML
Submitted: 2026-07-23
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- A survey on Deep Learning Advances on Different 3D Data Representations
- ShapeNet: An Information-Rich 3D Model Repository
- A Neural Algorithm of Artistic Style
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
- Perceptual Losses for Real-Time Style Transfer and Super-Resolution
- Very Deep Convolutional Networks for Large-Scale Image Recognition
- 3D ShapeNets: A Deep Representation for Volumetric Shapes
- SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters
- Batch Group Normalization
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