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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

Intracranial hemorrhage (ICH) secondary to Traumatic Brain Injury (TBI) represents a critical diagnostic challenge, with approximately 64,000 TBI-related deaths annually in the United States. Current diagnostic modalities including Computed…

Image and Video Processing · Electrical Eng. & Systems 2025-10-27 Phat Tran , Enbai Kuang , Fred Xu

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

In this paper, we introduce a new dataset in the medical field of Traumatic Brain Injury (TBI), called TBI-IT, which includes both electronic medical records (EMRs) and head CT images. This dataset is designed to enhance the accuracy of…

Image and Video Processing · Electrical Eng. & Systems 2024-03-15 Jie Li , Jiaying Wen , Tongxin Yang , Fenglin Cai , Miao Wei , Zhiwei Zhang , Li Jiang

Magnetoencephalography (MEG) scanner has been shown to be more accurate than other medical devices in detecting mild traumatic brain injury (mTBI). However, MEG scan data in certain spectrum ranges can be skewed, multimodal and…

Methodology · Statistics 2025-02-07 Jian Zhang , Gary Green

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

Traumatic Brain Injury (TBI) is a major contributor to mortality among older adults, with geriatric patients facing disproportionately high risk due to age-related physiological vulnerability and comorbidities. Early and accurate prediction…

Quantitative Methods · Quantitative Biology 2025-05-23 Yong Si , Junyi Fan , Li Sun , Shuheng Chen , Elham Pishgar , Kamiar Alaei , Greg Placencia , Maryam Pishgar

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

Traumatic brain injury (TBI) is a complex injury that is hard to predict and diagnose, with many studies focused on associating head kinematics to brain injury risk. Recently, there has been a push towards using computationally expensive…

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

The accurate prognosis for traumatic brain injury (TBI) patients is difficult yet essential to inform therapy, patient management, and long-term after-care. Patient characteristics such as age, motor and pupil responsiveness, hypoxia and…

Computer Vision and Pattern Recognition · Computer Science 2022-08-09 Margherita Rosnati , Eyal Soreq , Miguel Monteiro , Lucia Li , Neil S. N. Graham , Karl Zimmerman , Carlotta Rossi , Greta Carrara , Guido Bertolini , David J. Sharp , Ben Glocker

Prognoses of Traumatic Brain Injury (TBI) outcomes are neither easily nor accurately determined from clinical indicators. This is due in part to the heterogeneity of damage inflicted to the brain, ultimately resulting in diverse and complex…

Mild traumatic brain injury (mTBI) is a growing public health problem with an estimated incidence of one million people annually in US. Neurocognitive tests are used to both assess the patient condition and to monitor the patient progress.…

Computer Vision and Pattern Recognition · Computer Science 2018-02-16 Shervin Minaee , Siyun Wang , Yao Wang , Sohae Chung , Xiuyuan Wang , Els Fieremans , Steven Flanagan , Joseph Rath , Yvonne W. Lui

Brain network analysis for traumatic brain injury (TBI) patients is critical for its consciousness level assessment and prognosis evaluation, which requires the segmentation of certain consciousness-related brain regions. However, it is…

Image and Video Processing · Electrical Eng. & Systems 2022-08-15 Xiangyu Zhao , Di Zang , Sheng Wang , Zhenrong Shen , Kai Xuan , Zeyu Wei , Zhe Wang , Ruizhe Zheng , Xuehai Wu , Zheren Li , Qian Wang , Zengxin Qi , Lichi Zhang

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

Traumatic brain injury (TBI) is intrinsically heterogeneous, and typical clinical outcome measures like the Glasgow Coma Scale complicate this diversity. The large variability in severity and patient outcomes render it difficult to link…

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

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

Mild Traumatic Brain Injuries (mTBI) are caused by violent head motions or impacts. Most mTBI prevention strategies explicitly or implicitly rely on a "brain injury criterion". A brain injury criterion takes some descriptor of the head's…

Medical Physics · Physics 2022-01-19 Yang Wan , Alice Lux Fawzi , Haneesh Kesari

Brain-machine interfaces (BMIs) have emerged as a transformative force in assistive technologies, empowering individuals with motor impairments by enabling device control and facilitating functional recovery. However, the persistent…

Signal Processing · Electrical Eng. & Systems 2024-03-28 Xiaying Wang , Lan Mei , Victor Kartsch , Andrea Cossettini , Luca Benini
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