- Thanks to the Reviewers of Cardiovascular Imaging Asia
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Choi SI
- KMID: 2577382
- Cardiovasc Imaging Asia.
- 2026 Jan;10(1):1-1.
- doi: 10.22468/cvia.2026.00010
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- Artificial Intelligence-Based Three-Dimensional Cardiovascular CT Segmentation and Quantification for Congenital Heart Disease: What We Have Learned
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Goo HW, Yoon SH, Park SJ, Goo SY
- KMID: 2577383
- Cardiovasc Imaging Asia.
- 2026 Jan;10(1):2-10.
- doi: 10.22468/cvia.2025.00108
Artificial intelligence-based segmentation and quantification is a hot topic in cardiovascular imaging. However, the development of clinically useful artificial intelligence-based models for congenital heart disease is challenging owing to morphologic... -
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- Dobutamine Stress Cardiac Magnetic Resonance Imaging for Patients With Anomalous Inter-Arterial Coronary Arteries
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Lam PL, Wong CHT, Lam SHY, Yip TWL, Mak YH, Chan CWS, Cheung SCW
- KMID: 2577384
- Cardiovasc Imaging Asia.
- 2026 Jan;10(1):11-19.
- doi: 10.22468/cvia.2025.00073
Objective: This study aims to review the application of dobutamine stress cardiac magnetic resonance imaging (DSCMR) for patients with anomalous inter-arterial coronary arteries. Materials and Methods: Consecutive adult patients (≥18 years)... -
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- Berry Syndrome: A Rare Conotruncal Malformation
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Jehendran MV, Gowda S, Kothari R, Raj V
- KMID: 2577385
- Cardiovasc Imaging Asia.
- 2026 Jan;10(1):20-21.
- doi: 10.22468/cvia.2025.00101
Berry syndrome is an extremely rare congenital cardiac anomaly characterized by a combination of aortopulmonary window, aortic origin of the right pulmonary artery, interrupted or hypoplastic aortic arch, and an... -
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