Skull-stripping is an important first step when analyzing brain Magnetic Resonance Imaging
(MRI) data. Deep learning-based supervised segmentation models, such as the U-net model…

… Author links open overlay panel Regan King a b c , Melody N. Grohs b c , Adam Kirton a
b c d e , Catherine Lebel b c d , Michael J. Esser b d e , Karen M. …

Objective:To assess demographic, clinical, and injury characteristics associated with health-related
quality of life (HRQOL) in adults with persistent post-concussion symptoms (PPCS).…

Introduction: Symptoms following a mild traumatic brain injury (mTBI) usually resolve quickly
but may persist past 3 months in up to 15% of children. Mechanisms of mTBI recovery are …

This study models climate change impacts on the natural flow regime of braided rivers and
inflows to hydropower lakes in a New Zealand mountain basin. Flow metrics include the …

Magnetic resonance imaging (MRI) is a non-invasive imaging technique that is commonly
used for the visualization of newborn infant brains, both for clinical and research purposes. …

Introduction: Early Supported Discharge (ESD) is a clinical flow management service
offering interdisciplinary rehabilitation, wherein patients are provided supported in-home …

Skull-stripping constitutes a crucial initial step in neuroimaging analysis, and supervised
deep-learning models have demonstrated considerable success in automating this task. …

Background Early pain control after lumbar fusion presents a challenge to patients and
providers. Intrathecal morphine (ITM) has been used at the end of these procedures with limited …

Obsessive-compulsive disorder (OCD) as a consequence of severe traumatic brain injury (TBI)
has been reported in a limited number of case studies. Informed by CARE guidelines, we …