Multi-atlas image registration of clinical data with automated quality assessment using ventricle segmentation-Reference-Cited by-同舟云学术

Multi-atlas image registration of clinical data with automated quality assessment using ventricle segmentation

Published:2020-07 Issue: Volume:63 Page:101698
ISSN:1361-8415
Container-title:Medical Image Analysis
language:en
Short-container-title:Medical Image Analysis

Author:

Dubost Florian^ORCID,Bruijne Marleen de^ORCID,Nardin Marco,Dalca Adrian V.^ORCID,Donahue Kathleen L.,Giese Anne-Katrin,Etherton Mark R.,Wu Ona,Groot Marius de^ORCID,Niessen Wiro,Vernooij Meike,Rost Natalia S.,Schirmer Markus D.

Funder

ZonMw

H2020 Marie Skłodowska-Curie Actions

American Heart Association

Henrietta B. and Frederick H. Bugher Foundation

National Institutes of Health

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference57 articles.

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

2. Gas: a genetic atlas selection strategy in multi-atlas segmentation framework;Antonelli;Med. Image Anal.,2019

3. Large-scale parcellation of the ventricular system using convolutional neural networks;Atlason,2019

4. Symmetric diffeomorphic image registration with cross-correlation: evaluating automated labeling of elderly and neurodegenerative brain;Avants;Med. Image Anal.,2008

5. A reproducible evaluation of ants similarity metric performance in brain image registration;Avants;Neuroimage,2011

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