Head acceleration measurement sensors are now widely deployed in the field to monitor
head kinematic exposure in contact sports. The wealth of impact kinematics data provides …

Computational models of the brain and its biomechanical response to skull accelerations
are important tools for understanding and predicting traumatic brain injuries (TBIs) …

Finite element head (FE) models are important numerical tools to study head injuries and
develop protection systems. The generation of anatomically accurate and subject-specific …

Head injury models are notoriously time consuming and resource demanding in simulations,
which prevents routine application. Here, we extend a convolutional neural network (CNN) …

With the growing rate of traumatic brain injury (TBI), there is an increasing interest in
validated tools to predict and prevent brain injuries. Finite element models (FEM) are …

Traumatic brain injury (TBI) is a significant public health burden, and the development of
advanced countermeasures to mitigate and prevent these injuries during automotive, sports …

The identification of material parameters accurately describing the region-dependent
mechanical behavior of human brain tissue is crucial for computational models used to …

Traumatic brain injuries (TBI) are a substantial societal burden. The development of better
technologies and systems to prevent and/or mitigate the severity of brain injury requires an …

Head injuries are common for cyclists involved in collisions. Such collision scenarios result
in a range of injuries, with different head impact speeds, angles, locations, or surfaces. A …

Traumatic brain injury (TBI) contributes to a significant portion of the injuries resulting from
motor vehicle crashes, falls, and sports collisions. The development of advanced …