Connectivity-based Cortical Parcellation via Contrastive Learning on Spatial-Graph Convolution
Objective. Objective of this work is the development and evaluation of a cortical parcellation framework based on tractography-derived brain structural connectivity. Impact Statement. The proposed framework utilizes novel spatial-graph representation learning methods for solving the task of cortical...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
American Association for the Advancement of Science (AAAS)
2022-01-01
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| Series: | BME Frontiers |
| Online Access: | http://dx.doi.org/10.34133/2022/9814824 |