Hello,
My name is James Shackleford and this is my modest homepage.
I am currently an associate professor at Drexel University 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 plastimatch 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 short paper on enhancing MSM photodetectors with plasmonics.
My name is James Shackleford and this is my modest homepage.
I am currently an associate professor at Drexel University 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 plastimatch 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 short paper on enhancing MSM photodetectors with plasmonics.
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A988 FEBE 2144 D587 0ED3
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Help Fight COVID-19 with Folding@home!
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