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Machine learning driven medical image segmentation has become standard in medical image analysis. However, deep learning models are prone to overconfident predictions. This has led to a renewed focus on calibrated predictions in the medical…

Image and Video Processing · Electrical Eng. & Systems 2021-12-24 Teodora Popordanoska , Jeroen Bertels , Dirk Vandermeulen , Frederik Maes , Matthew B. Blaschko

Accurate delineation of acute ischemic stroke lesions in MRI is a key component of stroke diagnosis and management. In recent years, deep learning models have been successfully applied to the automatic segmentation of such lesions. While…

Computer Vision and Pattern Recognition · Computer Science 2026-01-14 Vincent Roca , Martin Bretzner , Hilde Henon , Laurent Puy , Grégory Kuchcinski , Renaud Lopes

Objective: We aimed to determine the relationship between day-to-day sleep efficiency variability and cognitive function among older adults using accelerometer data and three cognitive tests. Methods: Older adults aged 65+ with 5 days of…

Applications · Statistics 2023-11-07 Collin Sakal , Tingyou Li , Juan Li , Xinyue Li

There is a need to develop Monte Carlo simulations of stroke to run in-silico trials to replace animal models, explore clinical scenarios to develop hypotheses for clinical studies and for interpreting clinical monitoring. We perform…

In many medical applications, interpretable models with high prediction performance are sought. Often, those models are required to handle semi-structured data like tabular and image data. We show how to apply deep transformation models…

Brain atrophy is an important biomarker for monitoring neurodegeneration and disease progression in conditions such as multiple sclerosis (MS). An accurate and robust quantitative measurement of brain volume change is paramount for…

Quantitative Methods · Quantitative Biology 2023-02-09 Geng Zhan , Dongang Wang , Mariano Cabezas , Lei Bai , Kain Kyle , Wanli Ouyang , Michael Barnett , Chenyu Wang

Assessing the quality of movements for post-stroke patients during the rehabilitation phase is vital given that there is no standard stroke rehabilitation plan for all the patients. In fact, it depends basically on the patient's functional…

Signal Processing · Electrical Eng. & Systems 2023-01-02 Asma Bensalah , Alicia Fornés , Cristina Carmona-Duarte , Josep Lladós

We studied the performance of a robotic orthosis designed to assist the paretic hand after stroke. It is wearable and fully user-controlled, serving two possible roles: as a therapeutic tool that facilitates device mediated hand exercises…

Ischemic stroke is a common disease in the elderly population, which can cause long-term disability and even death. However, the time window for treatment of ischemic stroke in its acute stage is very short. To fast localize and…

Image and Video Processing · Electrical Eng. & Systems 2020-09-22 Bin Zhao , Shuxue Ding , Hong Wu , Guohua Liu , Chen Cao , Song Jin , Zhiyang Liu

Hypoxic Ischemic Encephalopathy (HIE) affects approximately 1-5/1000 newborns globally and leads to adverse neurocognitive outcomes in 30% to 50% of cases by two years of age. Despite therapeutic advances with Therapeutic Hypothermia (TH),…

Image and Video Processing · Electrical Eng. & Systems 2024-11-07 Rina Bao , Yangming Ou

Ischemic stroke, caused by cerebral vessel occlusion, presents substantial challenges in medical imaging due to the variability and subtlety of stroke lesions. Magnetic Resonance Imaging (MRI) plays a crucial role in diagnosing and managing…

Image and Video Processing · Electrical Eng. & Systems 2025-01-07 Ashiqur Rahman , Muhammad E. H. Chowdhury , Md Sharjis Ibne Wadud , Rusab Sarmun , Adam Mushtak , Sohaib Bassam Zoghoul , Israa Al-Hashimi

Traumatic brain injury (TBI) presents a significant public health challenge, often resulting in mortality or lasting disability. Predicting outcomes such as mortality and Functional Status Scale (FSS) scores can enhance treatment strategies…

Machine Learning · Computer Science 2024-10-29 Lucas Steinmetz , Shivam Maheshwari , Garik Kazanjian , Abigail Loyson , Tyler Alexander , Venkat Margapuri , C. Nataraj

Stroke is the second leading cause of death worldwide, and is increasingly prevalent in low- and middle-income countries (LMICs). Timely interventions can significantly influence stroke survivability and the quality of life after treatment.…

Image and Video Processing · Electrical Eng. & Systems 2025-10-10 Toufiq Musah , Prince Ebenezer Adjei , Kojo Obed Otoo

Classifying fine-grained ischemic stroke phenotypes relies on identifying important clinical information. Radiology reports provide relevant information with context to determine such phenotype information. We focus on stroke phenotypes…

Computation and Language · Computer Science 2020-10-13 Surabhi Datta , Shekhar Khanpara , Roy F. Riascos , Kirk Roberts

The Women's Health Initiative randomized clinical trial of hormone therapy found no benefit of hormones in preventive cardiovascular disease, a finding in striking contrast with a large body of observational research. Understanding whether…

Applications · Statistics 2008-12-18 Diana B. Petitti , Wansu Chen

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

Radiologists use various imaging modalities to aid in different tasks like diagnosis of disease, lesion visualization, surgical planning and prognostic evaluation. Most of these tasks rely on the the accurate delineation of the anatomical…

Image and Video Processing · Electrical Eng. & Systems 2019-08-22 Ronnie Rajan , Rachana Sathish , Debdoot Sheet

The gold standard in the treatment of ischaemic stroke is set by evidence from randomized controlled trials, based on simple descriptions of presumptively homogeneous populations. Yet the manifest complexity of the brain's functional,…

Physical activity is a modifiable lifestyle factor with potential to support cognitive resilience. However, the association of moderate-to-vigorous physical activity (MVPA) intensity, and timing, with cognitive function and region-specific…

Neurons and Cognition · Quantitative Biology 2025-09-10 Wasif Khan , Lin Gu , Noah Hammarlund , Lei Xing , Joshua K. Wong , Ruogu Fang

Stroke is a major cause of death and permanent impairment, making it a major worldwide health concern. For prompt intervention and successful preventative tactics, early risk assessment is essential. To address this challenge, we used…

Computer Vision and Pattern Recognition · Computer Science 2025-12-02 A S M Ahsanul Sarkar Akib , Raduana Khawla , Abdul Hasib