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Prognosis after intracranial hemorrhage (ICH) is influenced by a complex interplay between imaging and tabular data. Rapid and reliable prognosis are crucial for effective patient stratification and informed treatment decision-making. In…

Image and Video Processing · Electrical Eng. & Systems 2025-04-29 Miriam Cobo , Amaia Pérez del Barrio , Pablo Menéndez Fernández-Miranda , Pablo Sanz Bellón , Lara Lloret Iglesias , Wilson Silva

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

For acute ischemic stroke (AIS) patients with large vessel occlusions, clinicians must decide if the benefit of mechanical thrombectomy (MTB) outweighs the risks and potential complications following an invasive procedure. Pre-treatment…

Image and Video Processing · Electrical Eng. & Systems 2024-04-19 Haoyue Zhang , Jennifer S. Polson , Eric J. Yang , Kambiz Nael , William Speier , Corey W. Arnold

Intracerebral hemorrhage (ICH) is the most fatal subtype of stroke and is characterized by a high incidence of disability. Accurate segmentation of the ICH region and prognosis prediction are critically important for developing and refining…

Computer Vision and Pattern Recognition · Computer Science 2024-11-08 Xinlei Yu , Ahmed Elazab , Ruiquan Ge , Hui Jin , Xinchen Jiang , Gangyong Jia , Qing Wu , Qinglei Shi , Changmiao Wang

Intracranial hemorrhage (ICH) refers to the leakage or accumulation of blood within the skull, which occurs due to the rupture of blood vessels in or around the brain. If this condition is not diagnosed in a timely manner and appropriately…

Computer Vision and Pattern Recognition · Computer Science 2026-02-10 Mehdi Hosseini Chagahi , Niloufar Delfan , Behzad Moshiri , Md. Jalil Piran , Jaber Hatam Parikhan

Intracerebral hemorrhage (ICH) is the second most common and deadliest form of stroke. Despite medical advances, predicting treat ment outcomes for ICH remains a challenge. This paper proposes a novel prognostic model that utilizes both…

Computer Vision and Pattern Recognition · Computer Science 2023-07-25 Wenao Ma , Cheng Chen , Jill Abrigo , Calvin Hoi-Kwan Mak , Yuqi Gong , Nga Yan Chan , Chu Han , Zaiyi Liu , Qi Dou

Coronary artery disease remains one of the leading causes of mortality globally. Despite advances in revascularization treatments like PCI and CABG, postoperative stroke is inevitable. This study aims to develop and evaluate a sophisticated…

Machine Learning · Computer Science 2025-03-18 Haonan Pan , Shuheng Chen , Elham Pishgar , Kamiar Alaei , Greg Placencia , Maryam Pishgar

Intracerebral hemorrhage (ICH) is a life-risking condition characterized by bleeding within the brain parenchyma. ICU readmission in ICH patients is a critical outcome, reflecting both clinical severity and resource utilization. Accurate…

Machine Learning · Computer Science 2025-01-03 Shuheng Chen , Junyi Fan , Armin Abdollahi , Negin Ashrafi , Kamiar Alaei , Greg Placencia , Maryam Pishgar

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

Automated analysis of volumetric medical imaging on edge devices is severely constrained by the high memory and computational demands of 3D Convolutional Neural Networks (CNNs). This paper develops a lightweight computer vision framework…

Computer Vision and Pattern Recognition · Computer Science 2026-01-07 Amirreza Parvahan , Mohammad Hoseyni , Javad Khoramdel , Amirhossein Nikoofard

Recent randomised clinical trials have shown that patients with ischaemic stroke {due to occlusion of a large intracranial blood vessel} benefit from endovascular thrombectomy. However, predicting outcome of treatment in an individual…

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

Stroke is the second most common cause of death in developed countries, where rapid clinical intervention can have a major impact on a patient's life. To perform the revascularization procedure, the decision making of physicians considers…

Computer Vision and Pattern Recognition · Computer Science 2018-09-25 Adriano Pinto , Sergio Pereira , Raphael Meier , Victor Alves , Roland Wiest , Carlos A. Silva , Mauricio Reyes

Predicting the final ischaemic stroke lesion provides crucial information regarding the volume of salvageable hypoperfused tissue, which helps physicians in the difficult decision-making process of treatment planning and intervention.…

Image and Video Processing · Electrical Eng. & Systems 2021-01-05 Adriano Pinto , Sérgio Pereira , Raphael Meier , Roland Wiest , Victor Alves , Mauricio Reyes , Carlos A. Silva

Stroke is a major public health problem, affecting millions worldwide. Deep learning has recently demonstrated promise for enhancing the diagnosis and risk prediction of stroke. However, existing methods rely on costly medical imaging…

Image and Video Processing · Electrical Eng. & Systems 2025-12-17 Saeed Shurrab , Aadim Nepal , Terrence J. Lee-St. John , Nicola G. Ghazi , Bartlomiej Piechowski-Jozwiak , Farah E. Shamout

Intracranial hemorrhage occurs when blood vessels rupture or leak within the brain tissue or elsewhere inside the skull. It can be caused by physical trauma or by various medical conditions and in many cases leads to death. The treatment…

Computer Vision and Pattern Recognition · Computer Science 2021-05-14 Kimmo Kärkkäinen , Shayan Fazeli , Majid Sarrafzadeh

Time is a fundamental factor during stroke treatments. A fast, automatic approach that segments the ischemic regions helps treatment decisions. In clinical use today, a set of color-coded parametric maps generated from computed tomography…

Image and Video Processing · Electrical Eng. & Systems 2023-08-22 Luca Tomasetti , Mahdieh Khanmohammadi , Kjersti Engan , Liv Jorunn Høllesli , Kathinka Dæhli Kurz

Stroke is the second leading cause of disability worldwide. In order to minimize disability, the goal of stroke treatment is to preserve tissue in the area where blood supply is decreased but sufficient to stave off cell death. Thrombectomy…

Stroke is a leading cause of disability and death. Effective treatment decisions require early and informative vascular imaging. 4D perfusion imaging is ideal but rarely available within the first hour after stroke, whereas plain CT and CTA…

Computer Vision and Pattern Recognition · Computer Science 2024-04-08 Chayanin Tangwiriyasakul , Pedro Borges , Stefano Moriconi , Paul Wright , Yee-Haur Mah , James Teo , Parashkev Nachev , Sebastien Ourselin , M. Jorge Cardoso

Stroke is the second leading cause of mortality worldwide. Immediate attention and diagnosis play a crucial role regarding patient prognosis. The key to diagnosis consists in localizing and delineating brain lesions. Standard stroke…

Image and Video Processing · Electrical Eng. & Systems 2024-09-05 Santiago Gómez , Daniel Mantilla , Gustavo Garzón , Edgar Rangel , Andrés Ortiz , Franklin Sierra-Jerez , Fabio Martínez

Intracerebral Hemorrhage (ICH) is the deadliest subtype of stroke, necessitating timely and accurate prognostic evaluation to reduce mortality and disability. However, the multi-factorial nature and complexity of ICH make methods based…

Computer Vision and Pattern Recognition · Computer Science 2024-02-20 Xinlei Yu , Xinyang Li , Ruiquan Ge , Shibin Wu , Ahmed Elazab , Jichao Zhu , Lingyan Zhang , Gangyong Jia , Taosheng Xu , Xiang Wan , Changmiao Wang
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