Zhaohua Ding, Ph.D.Research Associate Professor of Vanderbilt University Institute of Imaging Science
Research Associate Professor of Electrical Engineering and Computer Science, Biomedical Engineering, Chemical and Physical Biology Program
My research focuses on processing and analysis of magnetic resonance images, aiming at providing innovative, objective and quantitative technologies for measuring brain structure and function, and understanding structure-function relations of the neural network in human brain via mathematical modeling.
My current projects include understanding fundamental structure-function relations in brain neural circuits, establishing mathematical models that characterize the dynamics of such relations, and developing advanced MRI techniques for imaging brain functional structure with high spatial and temporal resolutions and conspicuity.
Ding Z, Newton AT, Xu R, Anderson AW, Morgan VL, Gore JC. Spatio-temporal correlation tensors reveal functional structure in human brain. PLoS One. 2013 Dec 5;8(12):e82107.
Morgan VL, Mishra A, Newton AT, Gore JC, Ding Z. Integrating functional and diffusion magnetic resonance imaging for analysis of structure-function relationship in the human language network. PLoS One. 2009 Aug 17;4(8):e6660.
Xu Q, Anderson AW, Gore JC, Ding Z. Unified bundling and registration of brain white matter fibers. IEEE Trans Med Imaging. 2009 Sep;28(9):1399-411.
Li C, Kao CY, Gore JC, Ding Z. Minimization of region-scalable fitting energy for image segmentation. IEEE Trans Image Process. 2008 Oct;17(10):1940-9.
Ding Z, Gore JC, Anderson AW. Classification and quantification of neuronal fiber pathways using diffusion tensor MRI. Magn Reson Med. 2003 Apr;49(4):716-21.