Cortical surface registration using unsupervised learning
Non-rigid cortical registration is an important and challenging task due to the geometric complexity of the human cortex and the high degree of inter-subject variability. A conventional solution is to use a spherical representation of surface properties and perform registration by aligning cortical...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2020-11-01
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Series: | NeuroImage |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S1053811920306479 |