Deep learning-based covert brain infarct detection from multiple MRI sequences-Reference-Cited by-同舟云学术

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Deep learning-based covert brain infarct detection from multiple MRI sequences

Published:2023-09 Issue: Volume:550 Page:126464
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Zhao Sicheng,Bagce Hamid F.,Spektor Vadim,Chou Yen,Gao Ge,Morales Clarissa D.,Yang Hao,Ma Jingchen,Schwartz Lawrence H.,Manly Jennifer J.,Mayeux Richard P.,Brickman Adam M.,Gutierrez Jose D.,Zhao Binsheng

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference50 articles.

1. Accumulation of MRI markers of cerebral small vessel disease is associated with decreased cognitive function. A study in first-ever stroke and hypertensive patients;Huijts;Front. Aging Neurosci.,2013

2. Silent ischemic infarcts are associated with hemorrhage burden in cerebral amyloid angiopathy;Kimberly;Neurology,2009

3. Silent brain infarcts and the risk of dementia and cognitive decline;Vermeer;N. Engl. J. Med.,2003

4. M. P. Heinrich, M. Jenkinson, S. M. Brady, J. A. Schnabel, Globally optimal deformable registration on a minimum spanning tree using dense displacement sampling, in International Conference on Medical Image Computing and Computer-Assisted Intervention, 2012, pp. 115–122.

5. Mrf-based deformable registration and ventilation estimation of lung ct;Heinrich;IEEE Trans. Med. Imaging,2013

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