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Ischemic stroke is a time-critical medical emergency where rapid diagnosis is essential for improving patient outcomes. Non-contrast computed tomography (NCCT) serves as the frontline imaging tool, yet it often fails to reveal the subtle…

Computer Vision and Pattern Recognition · Computer Science 2026-02-13 Maria Thoma , Michalis A. Savelonas , Dimitris K. Iakovidis

Intracranial hemorrhage, bleeding that occurs inside the cranium, is a serious health problem requiring rapid and often intensive medical treatment. Such a condition is traditionally diagnosed by highly-trained specialists analyzing…

Computer Vision and Pattern Recognition · Computer Science 2024-09-05 Utkarsh Chandra Srivastava , Anshuman Singh , K. Sree Kumar

Early diagnosis of critical diseases can significantly improve patient survival and reduce treatment costs. However, existing diagnostic techniques are often costly, invasive, and inaccessible in low-resource regions. This paper presents a…

Computer Vision and Pattern Recognition · Computer Science 2025-10-30 Manisha More , Kavya Bhand , Kaustubh Mukdam , Kavya Sharma , Manas Kawtikwar , Hridayansh Kaware , Prajwal Kavhar

As a potential non-invasive biomarker for ischaemic stroke, intracranial arterial calcification (IAC) could be used for stroke risk assessment on CT head scans routinely acquired for other reasons (e.g. trauma, confusion). Artificial…

Image and Video Processing · Electrical Eng. & Systems 2025-07-03 Benjamin Jin , Maria del C. Valdés Hernández , Alessandro Fontanella , Wenwen Li , Eleanor Platt , Paul Armitage , Amos Storkey , Joanna M. Wardlaw , Grant Mair

Patient outcome prediction is critical in management of ischemic stroke. In this paper, a novel machine learning model is proposed for stroke outcome prediction using multimodal Magnetic Resonance Imaging (MRI). The proposed model consists…

Computer Vision and Pattern Recognition · Computer Science 2023-03-17 Nima Hatami , Laura Mechtouff , David Rousseau , Tae-Hee Cho , Omer Eker , Yves Berthezene , Carole Frindel

Stroke is the top leading causes of death in China (Zhou et al. The Lancet 2019). A dataset from Shanxi Province is used to identify the risk of each patient's at four states low/medium/high/attack and provide the state transition tendency…

Machine Learning · Computer Science 2021-08-03 Jing Ma , Yiyang Sun , Junjie Liu , Huaxiong Huang , Xiaoshuang Zhou , Shixin Xu

Leukemia is a hematologic cancer which develops in blood tissue and triggers rapid production of immature and abnormal shaped white blood cells. Based on statistics it is found that the leukemia is one of the leading causes of death in men…

Computer Vision and Pattern Recognition · Computer Science 2018-03-28 Sachin Kumar , Sumita Mishra , Pallavi Asthana , Pragya

Intracerebral Hemorrhage (ICH) is a severe condition resulting from damaged brain blood vessel ruptures, often leading to complications and fatalities. Timely and accurate prognosis and management are essential due to its high mortality…

Image and Video Processing · Electrical Eng. & Systems 2023-11-09 Xuhao Shan , Xinyang Li , Ruiquan Ge , Shibin Wu , Ahmed Elazab , Jichao Zhu , Lingyan Zhang , Gangyong Jia , Qingying Xiao , Xiang Wan , Changmiao Wang

Atrial Fibrillation (AF) is among one of the most common types of heart arrhythmia afflicting more than 3 million people in the U.S. alone. AF is estimated to be the cause of death of 1 in 4 individuals. Recent advancements in Artificial…

Signal Processing · Electrical Eng. & Systems 2020-11-03 James Belen , Sajad Mousavi , Alireza Shamsoshoara , Fatemeh Afghah

In Romania, cardiovascular problems are the leading cause of death, accounting for nearly one-third of annual fatalities. The severity of this situation calls for innovative diagnosis method for cardiovascular diseases. This article aims to…

Machine Learning · Computer Science 2025-02-26 Andrei Apostol , Maria Nutu

In the event of stroke, a catheter-guided procedure (thrombectomy) is used to remove blood clots. Feasibility of machine learning based automatic classifications for thrombus detection on digital substraction angiography (DSA) sequences has…

Alzheimer's disease (AD) is a neuro-degenerative disease that can cause dementia and result severe reduction in brain function inhibiting simple tasks especially if no preventative care is taken. Over 1 in 9 Americans suffer from AD induced…

Image and Video Processing · Electrical Eng. & Systems 2023-06-21 Paul K. Mandal , Rakesh Mahto

Early identification of stroke is crucial for intervention, requiring reliable models. We proposed an efficient retinal image representation together with clinical information to capture a comprehensive overview of cardiovascular health,…

Computer Vision and Pattern Recognition · Computer Science 2024-11-11 Yuqing Huang , Bastian Wittmann , Olga Demler , Bjoern Menze , Neda Davoudi

Stroke is a leading cause of long-term disability and the second most common cause of death worldwide. Although acute treatments have advanced, recovery remains challenging and limited. Brain-computer interfaces (BCIs) have emerged as a…

Neurons and Cognition · Quantitative Biology 2025-10-10 Aniana Cruz , Marko Kuzmanoski , Gabriel Pires

Breast cancer is one of the most common causes of cancer-related death in women worldwide. Early and accurate diagnosis of breast cancer may significantly increase the survival rate of patients. In this study, we aim to develop a fully…

Image and Video Processing · Electrical Eng. & Systems 2019-09-27 Sara Hosseinzadeh Kassani , Peyman Hosseinzadeh Kassani , Michal J. Wesolowski , Kevin A. Schneider , Ralph Deters

Multiple Sclerosis (MS) is a type of brain disease which causes visual, sensory, and motor problems for people with a detrimental effect on the functioning of the nervous system. In order to diagnose MS, multiple screening methods have been…

Ischemic stroke lesion segmentation from Computed Tomography Perfusion (CTP) images is important for accurate diagnosis of stroke in acute care units. However, it is challenged by low image contrast and resolution of the perfusion parameter…

Image and Video Processing · Electrical Eng. & Systems 2021-01-01 Guotai Wang , Tao Song , Qiang Dong , Mei Cui , Ning Huang , Shaoting Zhang

Except for a few specific types, cardiac arrhythmias are not immediately life-threatening. However, if not treated appropriately, they can cause serious complications. In particular, atrial fibrillation, which is characterized by fast and…

Machine Learning · Computer Science 2020-10-08 Jérôme Van Zaen , Ricard Delgado-Gonzalo , Damien Ferrario Mathieu Lemay

Chronic obstructive pulmonary disease (COPD) is a chronic inflammatory lung disease that causes obstructed airflow from the lungs. In the United States, more than 15.7 million Americans have been diagnosed with COPD, with 96% of individuals…

Machine Learning · Computer Science 2024-09-06 Negar Orangi-Fard

Alzheimer's disease (AD) is a progressive and incurable neurodegenerative disease which destroys brain cells and causes loss to patient's memory. An early detection can prevent the patient from further damage of the brain cells and hence…

Image and Video Processing · Electrical Eng. & Systems 2021-01-11 Ali Nawaz , Syed Muhammad Anwar , Rehan Liaqat , Javid Iqbal , Ulas Bagci , Muhammad Majid