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Related papers: CPAISD: Core-penumbra acute ischemic stroke datase…

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Distinguishing acute ischemic strokes (AIS) from stroke mimics (SMs), particularly in cases involving medium and small vessel occlusions, remains a significant diagnostic challenge. While computed tomography (CT) based protocols are…

Image and Video Processing · Electrical Eng. & Systems 2025-08-22 Marijn Borghouts , Richard McKinley , Manuel Köstner , Josien Pluim , Roland Wiest , Ruisheng Su

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…

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…

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

CT perfusion (CTP) has been used to triage ischemic stroke patients in the early stage, because of its speed, availability, and lack of contraindications. Perfusion parameters including cerebral blood volume (CBV), cerebral blood flow…

Image and Video Processing · Electrical Eng. & Systems 2019-06-07 Tao Song

Background and Purpose: We aimed to develop and evaluate an automatic acute ischemic stroke-related (AIS) detection system involving a two-stage deep learning model. Methods: We included 238 cases from two different institutions.…

Image and Video Processing · Electrical Eng. & Systems 2020-09-09 Mizuho Nishio , Sho Koyasu , Shunjiro Noguchi , Takao Kiguchi , Kanako Nakatsu , Thai Akasaka , Hiroki Yamada , Kyo Itoh

Cardiovascular disease (CVD) accounts for about half of non-communicable diseases. Vessel stenosis in the coronary artery is considered to be the major risk of CVD. Computed tomography angiography (CTA) is one of the widely used noninvasive…

Image and Video Processing · Electrical Eng. & Systems 2023-10-18 An Zeng , Chunbiao Wu , Meiping Huang , Jian Zhuang , Shanshan Bi , Dan Pan , Najeeb Ullah , Kaleem Nawaz Khan , Tianchen Wang , Yiyu Shi , Xiaomeng Li , Guisen Lin , Xiaowei Xu

Computer vision models can be used to assist during mechanical thrombectomy (MT) for acute ischemic stroke (AIS), but poor image quality often degrades performance. This work presents CLAIRE-DSA, a deep learning--based framework designed to…

Stroke is one of the leading causes of death globally, making early and accurate diagnosis essential for improving patient outcomes, particularly in emergency settings where timely intervention is critical. CT scans are the key imaging…

Computer Vision and Pattern Recognition · Computer Science 2025-10-07 Shomukh Qari , Maha A. Thafar

Computed tomography perfusion (CTP) at admission is routinely used to estimate the ischemic core and penumbra, while follow-up diffusion-weighted MRI (DWI) provides the definitive infarct outcome. However, single time-point segmentations…

Computer Vision and Pattern Recognition · Computer Science 2026-02-10 Md Sazidur Rahman , Kjersti Engan , Kathinka Dæhli Kurz , Mahdieh Khanmohammadi

Stroke remains a leading cause of global morbidity and mortality, imposing a heavy socioeconomic burden. Advances in endovascular reperfusion therapy and CT and MR imaging for treatment guidance have significantly improved patient outcomes.…

During the diagnosis of ischemic strokes, the Circle of Willis and its surrounding vessels are the arteries of interest. Their visualization in case of an acute stroke is often enabled by Computed Tomography Angiography (CTA). Still, the…

Image and Video Processing · Electrical Eng. & Systems 2022-04-27 Florian Thamm , Markus Jürgens , Oliver Taubmann , Aleksandra Thamm , Leonhard Rist , Hendrik Ditt , Andreas Maier

The CT perfusion (CTP) is a medical exam for measuring the passage of a bolus of contrast solution through the brain on a pixel-by-pixel basis. The objective is to draw "perfusion maps" (namely cerebral blood volume, cerebral blood flow and…

Image and Video Processing · Electrical Eng. & Systems 2022-08-02 Daniele Perlo , Enzo Tartaglione , Umberto Gava , Federico D'Agata , Edwin Benninck , Mauro Bergui

This article focuses on the control center of each human body: the brain. We will point out the pivotal role of the cerebral vasculature and how its complex mechanisms may vary between subjects. We then emphasize a specific acute…

Image and Video Processing · Electrical Eng. & Systems 2022-11-10 Jeroen Bertels , David Robben , Dirk Vandermeulen , Robin Lemmens

Purpose: In this study we investigate whether a Convolutional Neural Network (CNN) can generate clinically relevant parametric maps from CT perfusion data in a clinical setting of patients with acute ischemic stroke. Methods: Training of…

Image and Video Processing · Electrical Eng. & Systems 2021-01-18 Umberto A. Gava , Federico D'Agata , Enzo Tartaglione , Marco Grangetto , Francesca Bertolino , Ambra Santonocito , Edwin Bennink , Mauro Bergui

Type-B Aortic Dissection (TBAD) is one of the most serious cardiovascular events characterized by a growing yearly incidence,and the severity of disease prognosis. Currently, computed tomography angiography (CTA) has been widely adopted for…

Image and Video Processing · Electrical Eng. & Systems 2021-09-02 Zeyang Yao , Jiawei Zhang , Hailong Qiu , Tianchen Wang , Yiyu Shi , Jian Zhuang , Yuhao Dong , Meiping Huang , Xiaowei Xu

To determine if a convolutional neural network (CNN) deep learning model can accurately segment acute ischemic changes on non-contrast CT compared to neuroradiologists. Non-contrast CT (NCCT) examinations from 232 acute ischemic stroke…

The cornerstone of stroke care is expedient management that varies depending on the time since stroke onset. Consequently, clinical decision making is centered on accurate knowledge of timing and often requires a radiologist to interpret…

Image and Video Processing · Electrical Eng. & Systems 2023-06-22 Adam Marcus , Paul Bentley , Daniel Rueckert

Sepsis is a major public health concern due to its high morbidity, mortality, and cost. Its clinical outcome can be substantially improved through early detection and timely intervention. By leveraging publicly available datasets, machine…

Machine Learning · Computer Science 2026-02-04 Yin Jin , Tucker R. Stewart , Deyi Zhou , Chhavi Gupta , Arjita Nema , Scott C. Brakenridge , Grant E. O'Keefe , Juhua Hu

Coronary artery disease(CAD) is the most common type of heart disease and the leading cause of death worldwide[1]. A progressive state of this disease marked by plaque rupture and clot formation in the coronary arteries, also known as an…

Machine Learning · Computer Science 2020-09-29 Atandra Burman , Jitto Titus , David Gbadebo , Melissa Burman