Jian Cheng’s Homepage
Jian Cheng is currently a post-doctoral fellow in
Section on Quantitative Imaging and Tissue Sciences (SQITS)
at National Institutes of Health, working with
Dr. Peter Basser.
Before joining SQITS, he worked in the IDEA group in the University of North Carolina at Chapel Hill from 2012 to 2014.
Jian Cheng received a Ph.D. degree in medical image analysis jointly
from INRIA Sophia Antipolis
and Institute of Automation, Chinese Academy of Sciences (CASIA) in 2012,
and a bachelor degree in electrical engineering and computer science from
Harbin Institute of Technology (HIT) in 2005.
His current research mainly focuses on the methodologies in diffusion MRI and anatomical MRI.
He is interested in machine learning, computer vision, signal and image processing, applied mathematics, and software engineering.
- One paper on sampling scheme design for diffusion MRI was accepted by IEEE transactions on Medical Imaging.
- One paper on classifying MCI subtypes was accepted by Frontiers in Aging Neuroscience.
- One paper on local white matter geometric structure was accepted by Medical Image Analysis.
- One paper on local white matter geometric structure was accepted by IPMI 2017, and was selected as an oral presentation.
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