David W. Wright

A comparative study of 2D image segmentation algorithms for traumatic brain lesions using CT data from the ProTECTIII multicenter clinical trial

Automated segmentation of medical imaging is of broad interest to clinicians and machine learning researchers alike. The goal of segmentation is to increase efficiency and simplicity of...

Concurrent and Adaptive Extreme Scale Binding Free Energy Calculations

The efficacy of drug treatments depends on how tightly small molecules bind to their target proteins. The rapid and accurate quantification of the strength of these interactions (as measured by...

Concurrent and Adaptive Extreme Scale Binding Free Energy Calculations

Enabling Trade-offs Between Accuracy and Computational Cost: Adaptive Algorithms to Reduce Time to Clinical Insight

Meta-algorithmic systems for document classification

Machine learning algorithm for automatic detection of CT-identifiable hyperdense lesions associated with traumatic brain injury

Virtually transforming detect: moving a 2-D gamified health assessment to virtual reality

Towards high-throughput, high-performance computational estimation of binding affinities for patient specific HIV-1 protease sequences

Mining standardized neurological signs and symptoms data for concussion identification

Introducing VECMAtk - Verification, Validation and Uncertainty Quantification for Multiscale and HPC Simulations

An Open-Source, Open Data Approach to Activity Classification from Triaxial Accelerometry in an Ambulatory Setting

The accelerometer has become an almost ubiquitous device, providing enormous opportunities in healthcare monitoring beyond step counting or other average energy estimates in 15-60 second epochs....