AUTOMATED SOLUTIONS FOR CARDIOVASCULAR MAGNETIC RESONANCE IMAGING ANALYSIS
Ph.D
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Language: | English |
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2022
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Online Access: | https://scholarbank.nus.edu.sg/handle/10635/233379 |
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sg-nus-scholar.10635-2333792022-10-17T18:00:24Z AUTOMATED SOLUTIONS FOR CARDIOVASCULAR MAGNETIC RESONANCE IMAGING ANALYSIS CHONG JUN HUA DEAN'S OFFICE (DUKE-NUS) artificial intelligence, deep learning, automated analysis, RIC, myocardial infarction size, CMR Ph.D DOCTOR OF PHILOSOPHY (DUKE) 2022-10-17T18:00:23Z 2022-10-17T18:00:23Z 2022-08-12 Thesis CHONG JUN HUA (2022-08-12). AUTOMATED SOLUTIONS FOR CARDIOVASCULAR MAGNETIC RESONANCE IMAGING ANALYSIS. ScholarBank@NUS Repository. https://scholarbank.nus.edu.sg/handle/10635/233379 en |
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National University of Singapore |
building |
NUS Library |
continent |
Asia |
country |
Singapore Singapore |
content_provider |
NUS Library |
collection |
ScholarBank@NUS |
language |
English |
topic |
artificial intelligence, deep learning, automated analysis, RIC, myocardial infarction size, CMR |
spellingShingle |
artificial intelligence, deep learning, automated analysis, RIC, myocardial infarction size, CMR CHONG JUN HUA AUTOMATED SOLUTIONS FOR CARDIOVASCULAR MAGNETIC RESONANCE IMAGING ANALYSIS |
description |
Ph.D |
author2 |
DEAN'S OFFICE (DUKE-NUS) |
author_facet |
DEAN'S OFFICE (DUKE-NUS) CHONG JUN HUA |
format |
Theses and Dissertations |
author |
CHONG JUN HUA |
author_sort |
CHONG JUN HUA |
title |
AUTOMATED SOLUTIONS FOR CARDIOVASCULAR MAGNETIC RESONANCE IMAGING ANALYSIS |
title_short |
AUTOMATED SOLUTIONS FOR CARDIOVASCULAR MAGNETIC RESONANCE IMAGING ANALYSIS |
title_full |
AUTOMATED SOLUTIONS FOR CARDIOVASCULAR MAGNETIC RESONANCE IMAGING ANALYSIS |
title_fullStr |
AUTOMATED SOLUTIONS FOR CARDIOVASCULAR MAGNETIC RESONANCE IMAGING ANALYSIS |
title_full_unstemmed |
AUTOMATED SOLUTIONS FOR CARDIOVASCULAR MAGNETIC RESONANCE IMAGING ANALYSIS |
title_sort |
automated solutions for cardiovascular magnetic resonance imaging analysis |
publishDate |
2022 |
url |
https://scholarbank.nus.edu.sg/handle/10635/233379 |
_version_ |
1749179031263117312 |