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Post-traumatic epilepsy (PTE) is a life-long complication of traumatic brain injury (TBI) and is a major public health problem that has an estimated incidence that ranges from 2%-50%, depending on the severity of the TBI. Currently, the…

Quantitative Methods · Quantitative Biology 2020-11-17 Md Navid Akbar , Marianna La Rocca , Rachael Garner , Dominique Duncan , Deniz Erdoğmuş

Traumatic Brain Injury (TBI) is a common cause of death and disability. However, existing tools for TBI diagnosis are either subjective or require extensive clinical setup and expertise. The increasing affordability and reduction in size of…

Signal Processing · Electrical Eng. & Systems 2021-02-01 Navjodh Singh Dhillon , Agustinus Sutandi , Manoj Vishwanath , Miranda M. Lim , Hung Cao , Dong Si

Mild Traumatic Brain Injury (mTBI) is a significant public health problem. The most troubling symptoms after mTBI are cognitive complaints. Studies show measurable differences between patients with mTBI and healthy controls with respect to…

Image and Video Processing · Electrical Eng. & Systems 2019-11-12 Tongda Xu , Xiyan Cai , Yao Wang , Xiuyuan Wang , Sohae Chung , Els Fieremans , Joseph Rath , Steven Flanagan , Yvonne W Lui

The identification and segmentation of moderate-severe traumatic brain injury (TBI) lesions pose a significant challenge in neuroimaging. This difficulty arises from the extreme heterogeneity of these lesions, which vary in size, number,…

Computer Vision and Pattern Recognition · Computer Science 2025-09-30 Ghanshyam Dhamat , Vaanathi Sundaresan

Mild Traumatic Brain Injury (mTBI) is a common and challenging condition to diagnose accurately. Timely and precise diagnosis is essential for effective treatment and improved patient outcomes. Traditional diagnostic methods for mTBI often…

Image and Video Processing · Electrical Eng. & Systems 2024-04-09 Hanem Ellethy , Shekhar S. Chandra , Viktor Vegh

The Federal Interagency Traumatic Brain Injury Research (FITBIR) database is a centralized data repository for traumatic brain injury (TBI) research. It includes over 45,529 magnetic resonance images (MRI) from 6,211 subjects (9,229 imaging…

This report describes technical adaptations of a traumatic brain injury (TBI) model-largely inspired by Marmarou-in order to monitor microdialysis data and PtiO2 (brain tissue oxygen) before, during and after injury. We particularly…

Neurons and Cognition · Quantitative Biology 2007-07-31 Emilie Carré , Emmanuel Cantais , Olivier Darbin , Jean-Pierre Terrier , Michel Lonjon , Bruno Palmier , Jean-Jacques Risso

The general idea of this article is to develop a Bayesian model with a flexible link function connecting an exponential family treatment response to a linear combination of covariates and a treatment indicator and the interaction between…

Methodology · Statistics 2022-05-05 Hyung Park , Danni Wu , Eva Petkova , Thaddeus Tarpey , R. Todd Ogden

Disorders of consciousness are a heterogeneous mixture of different diseases or injuries. Although some indicators and models have been proposed for prognostication, any single method when used alone carries a high risk of false prediction.…

Neurons and Cognition · Quantitative Biology 2018-09-10 Ming Song , Yi Yang , Jianghong He , Zhengyi Yang , Shan Yu , Qiuyou Xie , Xiaoyu Xia , Yuanyuan Dang , Qiang Zhang , Xinhuai Wu , Yue Cui , Bing Hou , Ronghao Yu , Ruxiang Xu , Tianzi Jiang

Mild Traumatic Brain Injury (mTBI) is a significant public health challenge due to its high prevalence and potential for long-term health effects. Despite Computed Tomography (CT) being the standard diagnostic tool for mTBI, it often yields…

Image and Video Processing · Electrical Eng. & Systems 2024-04-09 Hanem Ellethy , Viktor Vegh , Shekhar S. Chandra

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

Traumatic brain injury (TBI) is caused by a sudden trauma to the head that may result in hematomas and contusions and can lead to stroke or chronic disability. An accurate quantification of the lesion volumes and their locations is…

Computer Vision and Pattern Recognition · Computer Science 2018-07-31 Snehashis Roy , John A. Butman , Leighton Chan , Dzung L. Pham

Some patients benefit from a treatment while others may do so less or do not benefit at all. We have previously developed a two-stage network meta-regression prediction model that synthesized randomized trials and evaluates how treatment…

The trajectory of an individual's recovery after traumatic brain injury (TBI) is heterogeneous, with complete recovery in some cases but persistent disability in others. We hypothesized that changes in structural brain network abnormalities…

Mild Traumatic Brain Injury (mTBI) is a common brain injury and affects a diverse group of people: soldiers, constructors, athletes, drivers, children, elders, and nearly everyone. Thus, having a well-established, fast, cheap, and accurate…

Signal Processing · Electrical Eng. & Systems 2022-08-19 Weiqing Gu , Ryan Chang , Bohan Yang

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

Computer Tomography (CT) is the gold standard technique for brain damage evaluation after acute Traumatic Brain Injury (TBI). It allows identification of most lesion types and determines the need of surgical or alternative therapeutic…

Computer Vision and Pattern Recognition · Computer Science 2021-04-01 Ezequiel de la Rosa , Diana M. Sima , Thijs Vande Vyvere , Jan S. Kirschke , Bjoern Menze

Tuberculosis (TB) is a major global health challenge, and is compounded by co-morbidities such as HIV, diabetes, and anemia, which complicate treatment outcomes and contribute to heterogeneous patient responses. Traditional models of TB…

Machine Learning · Computer Science 2024-11-19 Ethan Wu , Caleb Ellington , Ben Lengerich , Eric P. Xing

Recommendations for common outcome measures following pediatric traumatic brain injury (TBI) support the integration of instrumental measurements alongside perceptual assessment in recovery and treatment plans. A comprehensive set of…

Trauma mortality results from a multitude of non-linear dependent risk factors including patient demographics, injury characteristics, medical care provided, and characteristics of medical facilities; yet traditional approach attempted to…

Machine Learning · Computer Science 2020-09-11 Joshua D. Cardosi , Herman Shen , Jonathan I. Groner , Megan Armstrong , Henry Xiang