Original paper
Towards deep learning for connectome mapping: A block decomposition framework
Abstract
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 enhance accuracy. Our framework involves decomposing the entire brain volume into overlapping blocks. Blocks are sufficiently small to ensure that a...
Paper Details
Title
Towards deep learning for connectome mapping: A block decomposition framework
Published Date
May 1, 2020
Journal
Volume
212
Pages
116654 - 116654
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