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Cardiac magnetic resonance imaging is the gold standard for non-invasive cardiac assessment, offering rich spatio-temporal views of the cardiac anatomy and physiology. Patient-level health factors, such as demographics, metabolic, and…

Image and Video Processing · Electrical Eng. & Systems 2025-09-04 Yundi Zhang , Paul Hager , Che Liu , Suprosanna Shit , Chen Chen , Daniel Rueckert , Jiazhen Pan

Cardiac Magnetic Resonance (CMR) imaging is a vital non-invasive tool for diagnosing heart diseases and evaluating cardiac health. However, the limited availability of large-scale, high-quality CMR datasets poses a major challenge to the…

Computer Vision and Pattern Recognition · Computer Science 2025-05-07 Ziyu Li , Yujian Hu , Zhengyao Ding , Yiheng Mao , Haitao Li , Fan Yi , Hongkun Zhang , Zhengxing Huang

Cardiac magnetic resonance imaging (CMR) offers detailed evaluation of cardiac structure and function, but its limited accessibility restricts use to selected patient populations. In contrast, the electrocardiogram (ECG) is ubiquitous and…

Cardiac Magnetic Resonance (CMR) is the most effective tool for the assessment and diagnosis of a heart condition, which malfunction is the world's leading cause of death. Software tools leveraging Artificial Intelligence already enhance…

Computer Vision and Pattern Recognition · Computer Science 2021-03-16 Adrianna Janik , Jonathan Dodd , Georgiana Ifrim , Kris Sankaran , Kathleen Curran

Accurate prediction of major adverse cardiac events (MACE) remains a central challenge in cardiovascular prognosis. We present PRISM (Prompt-guided Representation Integration for Survival Modeling), a self-supervised framework that…

Computer Vision and Pattern Recognition · Computer Science 2026-01-30 Haoyang Su , Jin-Yi Xiang , Shaohao Rui , Yifan Gao , Xingyu Chen , Tingxuan Yin , Shaoting Zhang , Xiaosong Wang , Lian-Ming Wu

Cardiovascular diseases (CVD) can be diagnosed using various diagnostic modalities. The electrocardiogram (ECG) is a cost-effective and widely available diagnostic aid that provides functional information of the heart. However, its ability…

Signal Processing · Electrical Eng. & Systems 2025-01-09 Özgün Turgut , Philip Müller , Paul Hager , Suprosanna Shit , Sophie Starck , Martin J. Menten , Eimo Martens , Daniel Rueckert

Cardiovascular diseases (CVDs) are the leading cause of global mortality, necessitating accessible and accurate diagnostic tools. While cardiac magnetic resonance imaging (CMR) provides gold-standard insights into cardiac structure and…

Cardiovascular disease arises from interactions between inherited risk, molecular programmes, and tissue-scale remodelling that are observed clinically through imaging. Health systems now routinely generate large volumes of cardiac MRI, CT…

Quantitative Methods · Quantitative Biology 2026-01-14 Minh H. N. Le , Tuan Vinh , Thanh-Huy Nguyen , Tao Li , Bao Quang Gia Le , Han H. Huynh , Monika Raj , Carl Yang , Min Xu , Nguyen Quoc Khanh Le

Cardiovascular disease (CVD) continues to be the major cause of death globally, calling for predictive models that not only handle diverse and high-dimensional biomedical signals but also maintain interpretability and privacy. We create a…

Machine Learning · Computer Science 2026-01-13 Rohit Kaushik , Eva Kaushik

Cardiac magnetic resonance imaging improves on diagnosis of cardiovascular diseases by providing images at high spatiotemporal resolution. Manual evaluation of these time-series, however, is expensive and prone to biased and…

Computer Vision and Pattern Recognition · Computer Science 2018-04-06 Fabian Isensee , Paul Jaeger , Peter M. Full , Ivo Wolf , Sandy Engelhardt , Klaus H. Maier-Hein

Cardiac Magnetic Resonance (CMR) images are widely used for cardiac diagnosis and ventricular assessment. Extracting specific landmarks like the right ventricular insertion points is of importance for spatial alignment and 3D modeling. The…

Computer Vision and Pattern Recognition · Computer Science 2022-01-31 Sven Koehler , Lalith Sharan , Julian Kuhm , Arman Ghanaat , Jelizaveta Gordejeva , Nike K. Simon , Niko M. Grell , Florian André , Sandy Engelhardt

Cardiovascular diseases (CVDs) remain a leading cause of death globally, necessitating continuous, accurate non-invasive cardiac monitoring. While non-contact radar-based approaches show great promise, they often employ a single…

Computer Vision and Pattern Recognition · Computer Science 2026-05-26 Jinye Li , Aidong Men , Yang Liu , Qingchao Chen

Cardiovascular magnetic resonance (CMR) imaging is a standard imaging modality for assessing cardiovascular diseases (CVDs), the leading cause of death globally. CMR enables accurate quantification of the cardiac chamber volume, ejection…

Self-supervised learning is crucial for clinical imaging applications, given the lack of explicit labels in healthcare. However, conventional approaches that rely on precise vision-language alignment are not always feasible in complex…

Computer Vision and Pattern Recognition · Computer Science 2023-04-18 Jielin Qiu , Peide Huang , Makiya Nakashima , Jaehyun Lee , Jiacheng Zhu , Wilson Tang , Pohao Chen , Christopher Nguyen , Byung-Hak Kim , Debbie Kwon , Douglas Weber , Ding Zhao , David Chen

Major Adverse Cardiovascular Events (MACE) remain the leading cause of mortality globally, as reported in the Global Disease Burden Study 2021. Opportunistic screening leverages data collected from routine health check-ups and multimodal…

Computer Vision and Pattern Recognition · Computer Science 2025-06-25 Jialu Pi , Juan Maria Farina , Rimita Lahiri , Jiwoong Jeong , Archana Gurudu , Hyung-Bok Park , Chieh-Ju Chao , Chadi Ayoub , Reza Arsanjani , Imon Banerjee

Pulmonary Arterial Wedge Pressure (PAWP) is an essential cardiovascular hemodynamics marker to detect heart failure. In clinical practice, Right Heart Catheterization is considered a gold standard for assessing cardiac hemodynamics while…

Computer Vision and Pattern Recognition · Computer Science 2024-04-09 Prasun C Tripathi , Sina Tabakhi , Mohammod N I Suvon , Lawrence Schöb , Samer Alabed , Andrew J Swift , Shuo Zhou , Haiping Lu

Objective. Heart failure is one of the leading causes of death worldwide, with millions of deaths each year, according to data from the World Health Organization (WHO) and other public health agencies. While significant progress has been…

Machine Learning · Computer Science 2026-05-29 Jianzhou Chen , Jinyang Sun , Xiumei Wang , Xi Chen , Heyu Chu , Guo Song , Yuji Luo , Xingping Zhou , Rong Gu

Heart failure is a serious and life-threatening condition that can lead to elevated pressure in the left ventricle. Pulmonary Arterial Wedge Pressure (PAWP) is an important surrogate marker indicating high pressure in the left ventricle.…

Machine Learning · Computer Science 2024-04-09 Prasun C. Tripathi , Mohammod N. I. Suvon , Lawrence Schobs , Shuo Zhou , Samer Alabed , Andrew J. Swift , Haiping Lu

Globally, Coronary Heart Disease (CHD) is one of the main causes of death. Early detection of CHD can improve patient outcomes and reduce mortality rates. We propose a novel framework for predicting the presence of CHD using a combination…

Computer Vision and Pattern Recognition · Computer Science 2023-05-02 R. Selvaraj , T. Satheesh , V. Suresh , V. Yathavaraj

Coronary microvascular dysfunction (CMD), characterized by impaired regulation of blood flow in the coronary microcirculation, plays a key role in the pathogenesis of ischemic heart disease and is increasingly recognized as a contributor to…

Computational Engineering, Finance, and Science · Computer Science 2025-12-25 Haizhou Yang , Jiyang Zhang , Brahmajee K. Nallamothu , Krishna Garikipati , C. Alberto Figueroa
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