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QUARC-CL: Contrastive Quantum Autoencoders for Predicting Cardiovascular Risk From Fundus Images

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Published in:IEEE Access
Format: Online Article RSS Article
Published: 2026
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container_title IEEE Access
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discipline_display Technology & Engineering
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format Online Article
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journal_source_facet IEEE Access
publishDate 2026
publishDateSort 2026
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spellingShingle QUARC-CL: Contrastive Quantum Autoencoders for Predicting Cardiovascular Risk From Fundus Images
Computer Sciience
Technology & Engineering — Computing
Technology & Engineering
sub_discipline_display Technology & Engineering — Computing
sub_discipline_facet Technology & Engineering — Computing
subject_display Computer Sciience
Technology & Engineering — Computing
Technology & Engineering
Computer Sciience
Technology & Engineering — Computing
Technology & Engineering
subject_facet Computer Sciience
Technology & Engineering — Computing
Technology & Engineering
title QUARC-CL: Contrastive Quantum Autoencoders for Predicting Cardiovascular Risk From Fundus Images
title_auth QUARC-CL: Contrastive Quantum Autoencoders for Predicting Cardiovascular Risk From Fundus Images
title_full QUARC-CL: Contrastive Quantum Autoencoders for Predicting Cardiovascular Risk From Fundus Images
title_fullStr QUARC-CL: Contrastive Quantum Autoencoders for Predicting Cardiovascular Risk From Fundus Images
title_full_unstemmed QUARC-CL: Contrastive Quantum Autoencoders for Predicting Cardiovascular Risk From Fundus Images
title_short QUARC-CL: Contrastive Quantum Autoencoders for Predicting Cardiovascular Risk From Fundus Images
title_sort quarc-cl: contrastive quantum autoencoders for predicting cardiovascular risk from fundus images
topic Computer Sciience
Technology & Engineering — Computing
Technology & Engineering
url http://ieeexplore.ieee.org/document/11480839