Automated segmentation of the hypothalamus and associated subunits in brain MRI-Reference-Cited by-同舟云学术

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Automated segmentation of the hypothalamus and associated subunits in brain MRI

Published:2020-12 Issue: Volume:223 Page:117287
ISSN:1053-8119
Container-title:NeuroImage
language:en
Short-container-title:NeuroImage

Author:

Billot Benjamin,Bocchetta Martina^ORCID,Todd Emily^ORCID,Dalca Adrian V.^ORCID,Rohrer Jonathan D.,Iglesias Juan Eugenio

Funder

Medical Research Council

U.S. Department of Defense

National Institute for Health Research

National Institutes of Health

Engineering and Physical Sciences Research Council

Alzheimer's Society

European Research Council

Publisher

Elsevier BV

Subject

Cognitive Neuroscience,Neurology

Reference75 articles.

1. TensorFlow: a system for large-scale machine learning;Abadi,2016

2. Eating behavior in frontotemporal dementia: peripheral hormones vs hypothalamic pathology;Ahmed;Neurology,2015

3. Deep learning for brain MRI segmentation: state of the art and future directions;Akkus;J. Dig. Imaging,2017

4. A log-euclidean framework for statistics on diffeomorphisms;Arsigny,2006

5. Combination strategies in multi-atlas image segmentation: application to brain MR data;Artaechevarria;IEEE Trans. Med. Imaging,2009

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