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Heart disease remains one of the leading causes of morbidity and mortality worldwide, necessitating the development of effective diagnostic tools to enable early diagnosis and clinical decision-making. This study evaluates the impact of…

Machine Learning · Computer Science 2025-03-24 Bilal Ahmad , Jinfu Chen , Haibao Chen

Coronary angiography analysis is a common clinical task performed by cardiologists to diagnose coronary artery disease (CAD) through an assessment of atherosclerotic plaque's accumulation. This study introduces an end-to-end machine…

Image and Video Processing · Electrical Eng. & Systems 2023-10-30 Muhammad Bilal , Dinis Martinho , Reiner Sim , Adnan Qayyum , Hunaid Vohra , Massimo Caputo , Taofeek Akinosho , Sofiat Abioye , Zaheer Khan , Waleed Niaz , Junaid Qadir

Quantitative evaluation of echocardiography is essential for precise assessment of cardiac condition, monitoring disease progression, and guiding treatment decisions. The diverse nature of echo images, including variations in probe types,…

Computer Vision and Pattern Recognition · Computer Science 2024-10-28 Abdoul Aziz Amadou , Yue Zhang , Sebastien Piat , Paul Klein , Ingo Schmuecking , Tiziano Passerini , Puneet Sharma

Arrhythmias are a major cause of sudden cardiac death in children, making automated rhythm classification from electrocardiograms (ECGs) clinically important. However, pediatric arrhythmia analysis remains challenging because of…

Signal Processing · Electrical Eng. & Systems 2026-03-31 Yiqiao Chen , Zijian Huang , Zhenghui Feng

Shockable rhythms, namely ventricular fibrillation and ventricular tachycardia, are the main cause of sudden cardiac arrests, which can be detected quickly by the automated external defibrillator (AED) devices. In this paper, a simple but…

Signal Processing · Electrical Eng. & Systems 2021-09-28 Dao Thanh Hai , Nguyen Minh Tuan , Nguyen Thi Thu Hang , Le Hai Chau

In cardiac Magnetic Resonance Imaging (MRI) analysis, simultaneous myocardial segmentation and T2 quantification are crucial for assessing myocardial pathologies. Existing methods often address these tasks separately, limiting their…

Cardiovascular diseases (CVDs) remain the leading cause of mortality worldwide, yet early risk detection is often limited by available diagnostics. Carotid ultrasound, a non-invasive and widely accessible modality, encodes rich structural…

Myocarditis is a significant cardiovascular disease (CVD) that poses a threat to the health of many individuals by causing damage to the myocardium. The occurrence of microbes and viruses, including the likes of HIV, plays a crucial role in…

Heart failure affects millions of people worldwide, significantly reducing quality of life and leading to high mortality rates. Despite extensive research, the relationship between heart failure and mortality rates among ICU patients is not…

Machine Learning · Computer Science 2024-09-04 Negin Ashrafi , Armin Abdollahi , Jiahong Zhang , Maryam Pishgar

Cardiac digital twins (CDTs) have the potential to offer individualized evaluation of cardiac function in a non-invasive manner, making them a promising approach for personalized diagnosis and treatment planning of my-ocardial infarction…

Signal Processing · Electrical Eng. & Systems 2024-02-16 Lei Li , Julia Camps , Zhinuo , Wang , Abhirup Banerjee , Marcel Beetz , Blanca Rodriguez , Vicente Grau

Intracranial aneurysms (IAs) are abnormal dilations of cerebral blood vessels that, if ruptured, can lead to life-threatening consequences. However, their small size and soft contrast in radiological scans often make it difficult to perform…

Image and Video Processing · Electrical Eng. & Systems 2025-08-04 Erin Rainville , Amirhossein Rasoulian , Hassan Rivaz , Yiming Xiao

Predicting the risk of mortality for patients with acute myocardial infarction (AMI) using electronic health records (EHRs) data can help identify risky patients who might need more tailored care. In our previous work, we built…

Machine Learning · Computer Science 2019-04-30 Seyedeh Neelufar Payrovnaziri , Laura A. Barrett , Daniel Bis , Jiang Bian , Zhe He

Cardiovascular diseases represent a leading cause of mortality worldwide, necessitating accurate and early diagnosis for improved patient outcomes. Current diagnostic approaches for cardiac abnormalities often present challenges in clinical…

Signal Processing · Electrical Eng. & Systems 2025-11-11 Seyed Amir Latifi , Hassan Ghassemian , Maryam Imani

Intra-cardiac Echocardiography (ICE) plays a critical role in Electrophysiology (EP) and Structural Heart Disease (SHD) interventions by providing real-time visualization of intracardiac structures. However, maintaining continuous…

Image and Video Processing · Electrical Eng. & Systems 2025-05-12 Jaeyoung Huh , Ankur Kapoor , Young-Ho Kim

Sepsis is a significant cause of early mortality, high healthcare costs, and disability-adjusted life years. Digital interventions like continuous cardiac monitoring can help detect early warning signs and facilitate effective…

Signal Processing · Electrical Eng. & Systems 2024-08-01 Kanika Dheman , Marco Giordano , Cyriac Thomas , Philipp Schilk , Michele Magno

Magnetic resonance imaging (MRI) is a central modality for stroke imaging. It is used upon patient admission to make treatment decisions such as selecting patients for intravenous thrombolysis or endovascular therapy. MRI is later used in…

Estimating the shape and motion state of the myocardium is essential in diagnosing cardiovascular diseases.However, cine magnetic resonance (CMR) imaging is dominated by 2D slices, whose large slice spacing challenges inter-slice shape…

Computer Vision and Pattern Recognition · Computer Science 2023-08-29 Xiaohan Yuan , Cong Liu , Yangang Wang

Cardiovascular diseases are a pervasive global health concern, contributing significantly to morbidity and mortality rates worldwide. Among these conditions, arrhythmia, characterized by irregular heart rhythms, presents formidable…

Signal Processing · Electrical Eng. & Systems 2024-04-25 Bhavith Chandra Challagundla

Cardiovascular diseases, including Heart Failure (HF), remain a leading global cause of mortality, often evading early detection. In this context, accessible and effective risk assessment is indispensable. Traditional approaches rely on…

Signal Processing · Electrical Eng. & Systems 2024-03-26 Sergio González , Abel Ko-Chun Yi , Wan-Ting Hsieh , Wei-Chao Chen , Chun-Li Wang , Victor Chien-Chia Wu , Shang-Hung Chang