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Brain strain and strain rate are effective in predicting traumatic brain injury (TBI) caused by head impacts. However, state-of-the-art finite element modeling (FEM) demands considerable computational time in the computation, limiting its…

Intracranial aneurysms remain a major cause of neurological morbidity and mortality worldwide, where rupture risk is tightly coupled to local hemodynamics particularly wall shear stress and oscillatory shear index. Conventional…

Achilles Tendon Rupture (ATR) is one of the typical soft tissue injuries. Rehabilitation after such a musculoskeletal injury remains a prolonged process with a very variable outcome. Accurately predicting rehabilitation outcome is crucial…

Quantitative Methods · Quantitative Biology 2019-08-14 Charles Hamesse , Ruibo Tu , Paul Ackermann , Hedvig Kjellström , Cheng Zhang

Road traffic accidents, especially vehicle pedestrian collisions in crosswalk, globally pose a severe threat to human lives and have become a leading cause of premature deaths. In order to protect such vulnerable road users from collisions,…

Computer Vision and Pattern Recognition · Computer Science 2021-05-07 Byeongjoon Noh , Hwasoo Yeo

The mechanical characterization of brain tissue at high loading velocities is vital for understanding and modeling Traumatic Brain Injury (TBI). The most severe form of TBI is diffuse axonal injury (DAI) which involves damage to individual…

Biological Physics · Physics 2013-02-19 Badar Rashid , Michel Destrade , Michael Gilchrist

Developments in autonomous vehicles (AVs) are rapidly advancing and will in the next 20 years become a central part to our society. However, especially in the early stages of deployment, there is expected to be incidents involving AVs. In…

Systems and Control · Electrical Eng. & Systems 2022-12-19 James E. Pickering , Keith J. Burnham

Machine learning head models (MLHMs) are developed to estimate brain deformation for early detection of traumatic brain injury (TBI). However, the overfitting to simulated impacts and the lack of generalizability caused by distributional…

Vehicles equipped with automated driving capabilities have shown potential to improve safety and operations. Advanced driver assistance systems (ADAS) and automated driving systems (ADS) have been widely developed to support vehicular…

Applications · Statistics 2024-10-15 Shengxuan Ding , Mohamed Abdel-Aty , Natalia Barbour , Dongdong Wang , Zijin Wang , Ou Zheng

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

In the last year more than 70,000 people have been brought to the UK hospitals with serious injuries. Each time a clinician has to urgently take a patient through a screening procedure to make a reliable decision on the trauma treatment.…

Artificial Intelligence · Computer Science 2008-05-27 L. Jakaite , V. Schetinin

Knee Osteoarthritis (OA) is a debilitating disease affecting over 250 million people worldwide. Currently, radiologists grade the severity of OA on an ordinal scale from zero to four using the Kellgren-Lawrence (KL) system. Recent studies…

Image and Video Processing · Electrical Eng. & Systems 2024-07-16 Niamh Belton , Misgina Tsighe Hagos , Aonghus Lawlor , Kathleen M. Curran

Abdominal aortic aneurysms (AAAs) are pathologic dilatations of the abdominal aorta posing a high fatality risk upon rupture. Studying AAA progression and rupture risk often involves in-silico blood flow modelling with computational fluid…

Computer Vision and Pattern Recognition · Computer Science 2025-07-31 Patryk Rygiel , Julian Suk , Christoph Brune , Kak Khee Yeung , Jelmer M. Wolterink

Abdominal aortic aneurysm (AAA) is a life-threatening condition characterized by the progressive dilation of the aorta, which can lead to rupture if undetected or untreated. Stress-based rupture risk estimation using computational…

In ophthalmology, intravitreal operative medication therapy (IVOM) is a widespread treatment for diseases related to the age-related macular degeneration (AMD), the diabetic macular edema (DME), as well as the retinal vein occlusion (RVO).…

Image and Video Processing · Electrical Eng. & Systems 2024-10-03 Tobias Schlosser , Frederik Beuth , Trixy Meyer , Arunodhayan Sampath Kumar , Gabriel Stolze , Olga Furashova , Katrin Engelmann , Danny Kowerko

Deep learning models have become a powerful tool in knee angle estimation for lower limb prostheses, owing to their adaptability across various gait phases and locomotion modes. Current methods utilize Multi-Layer Perceptrons (MLP),…

Robotics · Computer Science 2024-04-11 Pengwei Wang , Yilong Chen , Wan Su , Jie Wang , Teng Ma , Haoyong Yu

Real-time robotic systems require advanced perception, computation, and action capability. However, the main bottleneck in current autonomous systems is the trade-off between computational capability, energy efficiency and model…

Robotics · Computer Science 2025-09-18 Shay Snyder , Andrew Capodieci , David Gorsich , Maryam Parsa

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

Aortic stenosis (AS) is the most common valvular heart disease in developed countries. High-fidelity preclinical models can improve AS management by enabling therapeutic innovation, early diagnosis, and tailored treatment planning. However,…

Computational Engineering, Finance, and Science · Computer Science 2024-07-02 Caglar Ozturk , Daniel H. Pak , Luca Rosalia , Debkalpa Goswami , Mary E. Robakowski , Raymond McKay , Christopher T. Nguyen , James S. Duncan , Ellen T. Roche

Movement disorders, such as Parkinson's disease, affect more than 10 million people worldwide. Gait analysis is a critical step in the diagnosis and rehabilitation of these disorders. Specifically, step length provides valuable insights…

Signal Processing · Electrical Eng. & Systems 2022-05-03 Sizhe An , Yigit Tuncel , Toygun Basaklar , Gokul Krishna Krishnakumar , Ganapati Bhat , Umit Ogras

As humans we possess an intuitive ability for navigation which we master through years of practice; however existing approaches to model this trait for diverse tasks including monitoring pedestrian flow and detecting abnormal events have…

Computer Vision and Pattern Recognition · Computer Science 2017-02-21 Tharindu Fernando , Simon Denman , Sridha Sridharan , Clinton Fookes