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Traumatic brain injuries could cause intracranial hemorrhage (ICH). ICH could lead to disability or death if it is not accurately diagnosed and treated in a time-sensitive procedure. The current clinical protocol to diagnose ICH is…

Image and Video Processing · Electrical Eng. & Systems 2019-11-18 Murtadha D. Hssayeni , M. S. , Muayad S. Croock , Ph. D. , Aymen Al-Ani , Ph. D. , Hassan Falah Al-khafaji , M. D. , Zakaria A. Yahya , M. D. , Behnaz Ghoraani , Ph. D

While ischemic stroke is a leading cause of death worldwide, there has been little success translating putative cerebroprotectants from rodent preclinical trials to human patients. We investigated computational image-based assessment tools…

We present a fully convolutional neural network for segmenting ischemic stroke lesions in CT perfusion images for the ISLES 2018 challenge. Treatment of stroke is time sensitive and current standards for lesion identification require manual…

Computer Vision and Pattern Recognition · Computer Science 2018-11-06 S. Mazdak Abulnaga , Jonathan Rubin

Deep learning and multi-modal fusion have demonstrated transformative potential in medical diagnosis by integrating diverse data sources. However, accurate prognosis for ischemic stroke remains challenging due to limitations in existing…

Computer Vision and Pattern Recognition · Computer Science 2026-05-15 Liren Chen , Lidong Sun , Mingyan Huang , Junzhe Tang , Yinghui Zhu , Guanjie Wang , Yiqing Xia , Ting Xiao

A brain stroke occurs when blood flow to a part of the brain is disrupted, leading to cell death. Traditional stroke diagnosis methods, such as CT scans and MRIs, are costly and time-consuming. This study proposes a weighted voting ensemble…

Machine Learning · Computer Science 2025-04-22 Yao Zhiwan , Reza Zarrab , Jean Dubois

Enhancing the precision of segmenting coronary atherosclerotic plaques from CT Angiography (CTA) images is pivotal for advanced Coronary Atherosclerosis Analysis (CAA), which distinctively relies on the analysis of vessel cross-section…

Image and Video Processing · Electrical Eng. & Systems 2025-01-15 Ziheng Zhang , Zihan Li , Dandan Shan , Yuehui Qiu , Qingqi Hong , Qingqiang Wu

In this work, we propose a multi-task recurrent neural network with attention mechanism for predicting cardiovascular events from electronic health records (EHRs) at different time horizons. The proposed approach is compared to a standard…

Hospital Readmissions within 30 days after discharge following Coronary Artery Bypass Graft (CABG) Surgery are substantial contributors to healthcare costs. Many predictive models were developed to identify risk factors for readmissions.…

Machine Learning · Computer Science 2018-12-04 Ramesh B. Manyam , Yanqing Zhang , William B. Keeling , Jose Binongo , Michael Kayatta , Seth Carter

Diagnostic stroke imaging with C-arm cone-beam computed tomography (CBCT) enables reduction of time-to-therapy for endovascular procedures. However, the prolonged acquisition time compared to helical CT increases the likelihood of rigid…

Image and Video Processing · Electrical Eng. & Systems 2019-12-02 Alexander Preuhs , Michael Manhart , Philipp Roser , Bernhard Stimpel , Christopher Syben , Marios Psychogios , Markus Kowarschik , Andreas Maier

Acute ischaemic stroke, caused by an interruption in blood flow to brain tissue, is a leading cause of disability and mortality worldwide. The selection of patients for the most optimal ischaemic stroke treatment is a crucial step for a…

Image and Video Processing · Electrical Eng. & Systems 2024-12-09 Zeynel A. Samak , Philip Clatworthy , Majid Mirmehdi

Ischaemic stroke is a medical condition caused by occlusion of blood supply to the brain tissue thus forming a lesion. A lesion is zoned into a core associated with irreversible necrosis typically located at the center of the lesion, while…

Image and Video Processing · Electrical Eng. & Systems 2019-08-06 Rachana Sathish , Ronnie Rajan , Anusha Vupputuri , Nirmalya Ghosh , Debdoot Sheet

In this paper, an automatic algorithm aimed at volumetric segmentation of acute ischemic stroke lesion in non-contrast computed tomography brain 3D images is proposed. Our deep-learning approach is based on the popular 3D U-Net…

Image and Video Processing · Electrical Eng. & Systems 2023-10-31 A. V. Dobshik , S. K. Verbitskiy , I. A. Pestunov , K. M. Sherman , Yu. N. Sinyavskiy , A. A. Tulupov , V. B. Berikov

Treatment of acute ischemic strokes (AIS) is largely contingent upon the time since stroke onset (TSS). However, TSS may not be readily available in up to 25% of patients with unwitnessed AIS. Current clinical guidelines for patients with…

Image and Video Processing · Electrical Eng. & Systems 2021-05-03 Haoyue Zhang , Jennifer S Polson , Kambiz Nael , Noriko Salamon , Bryan Yoo , Suzie El-Saden , Fabien Scalzo , William Speier , Corey W Arnold

A stroke is defined as a neurologic deficit arising from an interruption in blood supply to the brain. According to the World Health Organization, over 15 million people suffer from strokes annually, of which almost 70% die or are…

Quantitative Methods · Quantitative Biology 2022-03-29 Rohan Kalahasty , Lakshmi Sritan Motati

This is a preprint. The latest version has been published here: https://pubs.rsna.org/doi/10.1148/ryai.230275 Purpose: Sparse-view computed tomography (CT) is an effective way to reduce dose by lowering the total number of views acquired,…

Image and Video Processing · Electrical Eng. & Systems 2024-08-09 Johannes Thalhammer , Manuel Schultheiss , Tina Dorosti , Tobias Lasser , Franz Pfeiffer , Daniela Pfeiffer , Florian Schaff

In an emergency room (ER) setting, stroke triage or screening is a common challenge. A quick CT is usually done instead of MRI due to MRI's slow throughput and high cost. Clinical tests are commonly referred to during the process, but the…

Computer Vision and Pattern Recognition · Computer Science 2022-06-29 Tongan Cai , Haomiao Ni , Mingli Yu , Xiaolei Huang , Kelvin Wong , John Volpi , James Z. Wang , Stephen T. C. Wong

Intracranial hemorrhage (ICH) is a critical medical emergency caused by the rupture of cerebral blood vessels, leading to internal bleeding within the skull. Accurate and timely classification of hemorrhage subtypes is essential for…

Image and Video Processing · Electrical Eng. & Systems 2026-02-10 Mehdi Hosseini Chagahi , Md. Jalil Piran , Niloufar Delfan , Behzad Moshiri , Jaber Hatam Parikhan

Electrical Impedance Tomography (EIT) is an emerging non-invasive medical imaging modality. It is based on feeding electrical currents into the patient, measuring the resulting voltages at the skin, and recovering the internal conductivity…

Image and Video Processing · Electrical Eng. & Systems 2020-11-06 Juan Pablo Agnelli , Aynur Çöl , Matti Lassas , Rashmi Murthy , Matteo Santacesaria , Samuli Siltanen

When the blood supply to the brain is obstructed by a clot, oxygen delivery to brain tissues becomes insufficient, leading to cellular necrosis. In healthcare settings, accurately identifying and delineating ischemic lesion boundaries is…

Image and Video Processing · Electrical Eng. & Systems 2026-05-22 Sayed Amir Mousavi Mobarakeh