TractLearn: A geodesic learning framework for quantitative analysis of brain bundles

TractLearn: A geodesic learning framework for quantitative analysis of brain bundles

Deep learning-based convolutional neural networks have recently proved their efficiency in providing fast segmentation of major brain fascicles structures, based on diffusion-weighted imaging. The quantitative analysis of brain fascicles then relies on metrics either coming from the tractography pro...

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Bibliographic Details
Main Authors: Arnaud Attyé, Félix Renard, Monica Baciu, Elise Roger, Laurent Lamalle, Patrick Dehail, Hélène Cassoudesalle, Fernando Calamante
Format: Article
Language:English
Published: Elsevier 2021-06-01
Series:NeuroImage
Subjects:
Diffusion MRI
Fiber tractography
Precision medicine
Manifold learning
Online Access:http://www.sciencedirect.com/science/article/pii/S1053811921002044

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http://www.sciencedirect.com/science/article/pii/S1053811921002044

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