Towards deep learning for connectome mapping: A block decomposition framework

We propose a new framework to map structural connectomes using deep learning and diffusion MRI. We show that our framework not only enables connectome mapping with a convolutional neural network (CNN), but can also be straightforwardly incorporated into conventional connectome mapping pipelines to e...

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Bibliographic Details
Main Authors: Tabinda Sarwar, Caio Seguin, Kotagiri Ramamohanarao, Andrew Zalesky
Format: Article
Language:English
Published: Elsevier 2020-05-01
Series:NeuroImage
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1053811920301415