CycleGAN-based image-to-image translation for synthetic contrast enhancement in non-contrast cardiac CT: a ViT-CNN hybrid deep learning approach

Authors

Doyoung Park (ORCID: https://orcid.org/0000-0002-7267-4288)
Weien Chow (ORCID: https://orcid.org/0000-0003-3275-3114)
Lohendran Baskaran (ORCID: https://orcid.org/0000-0003-0565-7151)
Jinsoo Kim (ORCID: https://orcid.org/0000-0003-4392-5583)
Xucong Ruan

Institutions

National University of Singapore (SG)
Changi General Hospital (SG)
Duke-NUS Medical School (SG)
National Heart Centre Singapore (SG)

Publication Details

Journal: BMC Medical Informatics and Decision Making
Published: 2026-04-16
DOI: https://doi.org/10.1186/s12911-026-03446-9
Primary Topic: Cardiac Imaging and Diagnostics
Type: article
Field-Weighted Citation Impact: 0.00

Funders

National Medical Research Council

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article

CycleGAN-based image-to-image translation for synthetic contrast enhancement in non-contrast cardiac CT: a ViT-CNN hybrid deep learning approach

Doyoung Park, Weien Chow, Lohendran Baskaran, Jinsoo Kim et al.

Apr 16, 2026

BMC Medical Informatics and Decision Making

Cardiac Imaging and Diagnostics

article

CycleGAN-based image-to-image translation for synthetic contrast enhancement in non-contrast cardiac CT: a ViT-CNN hybrid deep learning approach

Doyoung Park, Weien Chow, Lohendran Baskaran, Jinsoo Kim, Xucong Ruan

April 16, 2026article en

Abstract

No abstract available for this paper.

BMC Medical Informatics and Decision Making

National University of Singapore (SG), Changi General Hospital (SG), Duke-NUS Medical School (SG), National Heart Centre Singapore (SG)

National Medical Research Council

Openalex Percentile: Top 6%

Cardiac Imaging and Diagnostics

DOI Open Access PDF OpenAlex

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CycleGAN-based image-to-image translation for synthetic contrast enhancement in non-contrast cardiac CT: a ViT-CNN hybrid deep learning approach — Doyoung Park, Weien Chow, et al. · BMC Medical Informatics and Decision Making (2026) | TGRS Research Map | TGRS