This survey paper provides a comprehensive overview of the recent advancements and techniques in using GDL to analyze brain 3D meshes.
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This survey paper provides a comprehensive overview of the recent advancements and techniques in using GDL to analyze brain 3D meshes. We systematically review ...
Aug 27, 2024 · Extensive experiments demonstrate that our deep features have strong discerning ability and robustness to non-rigid transformed graph data, ...
Duration: 1:10:57
Posted: Dec 10, 2021
Posted: Dec 10, 2021
Missing: Techniques Brain
This work compares the different networks for the prediction of Alzheimer's disease based on the meshes of the hippocampus and shows advantages for ...
May 25, 2023 · For brain develop- ment/degeneration analyses, advanced geometric deep learning methods can be potentially applied to learning from cortical ...
In this work, we propose a Unified Geometric Deep Learning framework (BrainUGDL) to perform the cross-modal brain anatomo-functional mapping task.
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Aug 23, 2022 · The ability to deconstruct the brain into its composite parts and explore brain age at the sub-structure level offers unique advantages. These ...
Oct 22, 2022 · This study utilized a novel deep learning model using gCNNs with residual connections to infer Gf from cortical and subcortical surface meshes ...
This paper utilizes a machine learning technique called Geometric Deep Learning ... Geometric Deep Learning Techniques for Analyzing Brain 3D Meshes. Conference ...