My name is James Shackleford and this is my modest homepage.
I am currently an associate professor at
where I work on high-performance medical image processing techniques.
Prior to joining the faculty, I worked as a post-doctorial fellow at
Massachusetts General Hospital
in the department of Radiation Oncology. Much of my research has been
implemented as part of the
project, which is a
high performance deformable image registration toolkit for medical images
featuring GPU and OpenMP CPU acceleration.
In May of 2016, I was honored to receive the NSF CAREER award
from the Advanced Cyberinfrastructure (ACI) division of the
National Science Foundation (NSF) for work on low latency, parallel, and
context aware vision in computed tomography.
I have authored a chapter in the NVIDIA GPU programming book
GPU Computing Gems Emerald Edition
on the topic
of accelerating deformable 3D image registration using uniform cubic B-splines. This work has been published in
significantly greater detail as a featured article
in the journal Physics in Medicine and Biology
. In 2013, I co-authored the book
High Performance Deformable Image Registration Algorithms for Manycore Processors
In a "previous life" I worked in nano-scale solid state device physics, where I published a
on enhancing MSM photodetectors