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Stroke is one of two main causes of death worldwide. Many individuals suffer from ischemic stroke every year. Only in US more over 700,000 individuals meet ischemic stroke due to blood clot blocking an artery to the brain every year. The…

Computer Vision and Pattern Recognition · Computer Science 2023-05-29 David Azatyan

Recent developments in computer vision have enabled the availability of segmented images across various domains, such as medicine, where segmented radiography images play an important role in diagnosis-making. As prediction problems are…

Methodology · Statistics 2025-08-22 Issam-Ali Moindjié , Marie-Hélène Descary , Cédric Beaulac

The segmentation and analysis of coronary arteries from intravascular optical coherence tomography (IVOCT) is an important aspect of diagnosing and managing coronary artery disease. Current image processing methods are hindered by the time…

Machine Learning · Computer Science 2021-04-20 Arjun Balaji , Lachlan Kelsey , Kamran Majeed , Carl Schultz , Barry Doyle

In recent years, cardiovascular diseases (CVDs) have become one of the leading causes of mortality globally. CVDs appear with minor symptoms and progressively get worse. The majority of people experience symptoms such as exhaustion,…

Clinical systems operate in safety-critical environments and are not intended to function autonomously; however, they are currently designed to replicate clinicians' diagnoses rather than assist them in the diagnostic process. To enable…

Human-Computer Interaction · Computer Science 2025-04-07 Kailas Dayanandan , Brejesh Lall

Coronary Computed Tomography Angiography (CCTA) evaluation of chest-pain patients in an Emergency Department (ED) is considered appropriate. While a negative CCTA interpretation supports direct patient discharge from an ED, labor-intensive…

Cardiovascular disease (CVD) is the leading cause of mortality yet largely preventable, but the key to prevention is to identify at-risk individuals before adverse events. For predicting individual CVD risk, carotid intima-media thickness…

Computer Vision and Pattern Recognition · Computer Science 2017-06-05 Jae Y. Shin , Nima Tajbakhsh , R. Todd Hurst , Christopher B. Kendall , Jianming Liang

Coronary artery disease (CAD) remains a leading cause of mortality worldwide, requiring accurate segmentation and stenosis detection using Coronary Computed Tomography angiography (CCTA). Existing methods struggle with challenges such as…

Computer Vision and Pattern Recognition · Computer Science 2025-04-29 Ni Yao , Xiangyu Liu , Danyang Sun , Chuang Han , Yanting Li , Jiaofen Nan , Chengyang Li , Fubao Zhu , Weihua Zhou , Chen Zhao

Carotid atherosclerosis represents a significant health risk, with its early diagnosis primarily dependent on ultrasound-based assessments of carotid intima-media thickening. However, during carotid ultrasound screening, significant view…

Computer Vision and Pattern Recognition · Computer Science 2025-03-18 Shuo Gao , Jingyang Zhang , Jun Xue , Meng Yang , Yang Chen , Guangquan Zhou

Clinic testing plays a critical role in containing infectious diseases such as COVID-19. However, one of the key research questions in fighting such pandemics is how to optimize testing capacities across clinics. In particular, domain…

Human-Computer Interaction · Computer Science 2023-03-29 Yu Dong , Jie Liang , Longbing Cao , Daniel Catchpoole

A common problem which is faced by the researchers when dealing with arterial carotid imaging data is the registration of the geometrical structures between different imaging modalities or different timesteps. The use of the "Patient…

Coronary computed tomography angiography (CCTA) provides 3D information on obstructive coronary artery disease, but cannot fully visualize high-resolution features within the vessel wall. Intravascular imaging, in contrast, can spatially…

Image and Video Processing · Electrical Eng. & Systems 2025-09-10 Karim Kadry , Abhishek Karmakar , Andreas Schuh , Kersten Peterson , Michiel Schaap , David Marlevi , Charles Taylor , Elazer Edelman , Farhad Nezami

Diabetes mellitus (DM) predisposes patients to vascular complications. Retinal images and vasculature reflect the body's micro- and macrovascular health. They can be used to diagnose DM complications, including diabetic retinopathy (DR),…

Diffusion tensor imaging (DTI) has been used to study the effects of neurodegenerative diseases on neural pathways, which may lead to more reliable and early diagnosis of these diseases as well as a better understanding of how they affect…

Computer Vision and Pattern Recognition · Computer Science 2021-12-15 Chaoqing Xu , Tyson Neuroth , Takanori Fujiwara , Ronghua Liang , Kwan-Liu Ma

The shape and motion of the heart provide essential clues to understanding the mechanisms of cardiovascular disease. With the advent of large-scale cardiac imaging data, statistical atlases become a powerful tool to provide automated and…

Cardiovascular disease is the leading global cause of mortality, with coronary artery disease (CAD) as its most prevalent form, necessitating early risk prediction. While 3D coronary artery digital twins reconstructed from imaging offer…

Atherosclerosis, a chronic inflammatory cardiovascular disease, leads to arterial constriction caused by the accumulation of lipids, cholesterol, and various substances within artery walls. Such plaque can rupture, resulting in a blood clot…

Tissues and Organs · Quantitative Biology 2024-08-07 Ruchira Ray , Bibaswan Dey

Acute stroke demands prompt diagnosis and treatment to achieve optimal patient outcomes. However, the intricate and irregular nature of clinical data associated with acute stroke, particularly blood pressure (BP) measurements, presents…

Human-Computer Interaction · Computer Science 2024-07-24 Jaeyoung Kim , Sihyeon Lee , Hyeon Jeon , Keon-Joo Lee , Hee-Joon Bae , Bohyoung Kim , Jinwook Seo

Mechanical thrombectomy has become the standard of care in patients with stroke due to large vessel occlusion (LVO). However, only 50% of successfully treated patients show a favorable outcome. We developed and evaluated interpretable deep…

Image and Video Processing · Electrical Eng. & Systems 2025-07-08 Lisa Herzog , Pascal Bühler , Ezequiel de la Rosa , Beate Sick , Susanne Wegener

Automatic labeling of coronary arteries is an essential task in the practical diagnosis process of cardiovascular diseases. For experienced radiologists, the anatomically predetermined connections are important for labeling the artery…

Image and Video Processing · Electrical Eng. & Systems 2023-07-25 Zhixing Zhang , Ziwei Zhao , Dong Wang , Shishuang Zhao , Yuhang Liu , Jia Liu , Liwei Wang