R
Renjie He
Researcher at University of Texas Health Science Center at Houston
Publications - 57
Citations - 884
Renjie He is an academic researcher from University of Texas Health Science Center at Houston. The author has contributed to research in topics: Medicine & Computer science. The author has an hindex of 14, co-authored 40 publications receiving 823 citations. Previous affiliations of Renjie He include Hebei University of Technology & University of Texas at Austin.
Papers
More filters
Journal ArticleDOI
Unified Approach for Multiple Sclerosis Lesion Segmentation on Brain MRI
Balasrinivasa Rao Sajja,Sushmita Datta,Renjie He,M. Mehta,Rakesh K. Gupta,Jerry S. Wolinsky,Ponnada A. Narayana,Ponnada A. Narayana +7 more
TL;DR: A strategy that combines parametric and nonparametric techniques is developed and implemented to minimize the false lesion classifications in multiple sclerosis brains and is quantitatively evaluated on 23 MS patients.
Journal ArticleDOI
Global optimization of mutual information: application to three-dimensional retrospective registration of magnetic resonance images.
Renjie He,Ponnada A. Narayana +1 more
TL;DR: A global optimization technique for image registration, based on mutual information, that can be used in conjunction with a multi-resolution paradigm that theoretically guarantees global optimization and is efficient in small search space is described.
Journal ArticleDOI
Deep gray matter atrophy in multiple sclerosis: A tensor based morphometry
TL;DR: The results of these studies appear to suggest a link between the white matter damage and DGM atrophy in MS.
Journal ArticleDOI
Segmentation and quantification of black holes in multiple sclerosis.
Sushmita Datta,Balasrinivasa Rao Sajja,Renjie He,Jerry S. Wolinsky,Rakesh K. Gupta,Ponnada A. Narayana +5 more
TL;DR: A technique that involves minimal operator intervention was developed and implemented for identification and quantification of black holes on T1-weighted magnetic resonance images (T1 images) in multiple sclerosis (MS).
Journal ArticleDOI
In vivo diffusion tensor imaging of rat spinal cord at 7 T
TL;DR: In vivo diffusion tensor imaging of normal rat spinal cord was performed using a multi-segmented, blipped EPI sequence at 7 T field strength and the results were combined to quantitatively characterize the anisotropic properties of the fast and slow diffusions in white- and gray matter of live spinal cords.