AUTOMATED SOLUTIONS FOR CARDIOVASCULAR MAGNETIC RESONANCE IMAGING ANALYSIS

Ph.D

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Bibliographic Details
Main Author: CHONG JUN HUA
Other Authors: DEAN'S OFFICE (DUKE-NUS)
Format: Theses and Dissertations
Language:English
Published: 2022
Subjects:
Online Access:https://scholarbank.nus.edu.sg/handle/10635/233379
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Institution: National University of Singapore
Language: English
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spelling 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
institution 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
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