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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Bibliografiske detaljer

Principais autores:	Tabinda Sarwar, Caio Seguin, Kotagiri Ramamohanarao, Andrew Zalesky
Format:	Artigo
Sprog:	Inglês
Udgivet:	Elsevier 2020-05-01
Serier:	NeuroImage
Fag:	Connectome Tractography Deep learning Convolutional neural network
Online adgang:	http://www.sciencedirect.com/science/article/pii/S1053811920301415
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