Neonatal Brain Tissue Classification with Morphological Adaptation and Unified Segmentation-Reference-Cited by-同舟云学术

Neonatal Brain Tissue Classification with Morphological Adaptation and Unified Segmentation

Published:2016-03-29 Issue: Volume:10 Page:
ISSN:1662-5196
Container-title:Frontiers in Neuroinformatics
language:
Short-container-title:Front. Neuroinform.

Author:

Beare Richard J.,Chen Jian,Kelly Claire E.,Alexopoulos Dimitrios,Smyser Christopher D.,Rogers Cynthia E.,Loh Wai Y.,Matthews Lillian G.,Cheong Jeanie L. Y.,Spittle Alicia J.,Anderson Peter J.,Doyle Lex W.,Inder Terrie E.,Seal Marc L.,Thompson Deanne K.

Publisher

Frontiers Media SA

Subject

Computer Science Applications,Biomedical Engineering,Neuroscience (miscellaneous)

Reference44 articles.

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3. Neuropsychological outcomes of children born very preterm;Anderson;Semin. Fetal. Neonatal. Med.,2014

4. The predictive validity of neonatal MRI for neurodevelopmental outcome in very preterm children;Anderson;Semin. Perinatol.,2015

5. Unified segmentation;Ashburner;Neuroimage,2005

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