Affiliation: University of Pennsylvania
- ODVBA: optimally-discriminative voxel-based analysisTianhao Zhang
Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA
IEEE Trans Med Imaging 30:1441-54. 2011..The experimental results have shown that the proposed ODVBA can precisely describe the shape and location of structural abnormality...
- Optimally-Discriminative Voxel-Based Morphometry significantly increases the ability to detect group differences in schizophrenia, mild cognitive impairment, and Alzheimer's diseaseTianhao Zhang
Section of Biomedical Image Analysis, Department of Radiology, University of Pennsylvania, PA, USA
Neuroimage 79:94-110. 2013..In terms of spatial extent of detected area, agreement of anatomical boundary, and classification, it performed better than other tested voxel-based methods and competitively with the cluster enhancing methods...
- Optimally-discriminative voxel-based analysisTianhao Zhang
Section of Biomedical Image Analysis, Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA
Med Image Comput Comput Assist Interv 13:257-65. 2010..Permutation tests are finally used to obtain the statistical significance. The experiments on Mild Cognitive Impairment (MCI) study have shown the effectiveness of the framework...
- Mild cognitive impairment: baseline and longitudinal structural MR imaging measures improve predictive prognosisLinda K McEvoy
Department of Radiology, University of California, San Diego, 9500 Gilman Dr, La Jolla, CA 92093, USA
Radiology 259:834-43. 2011..To assess whether single-time-point and longitudinal volumetric magnetic resonance (MR) imaging measures provide predictive prognostic information in patients with amnestic mild cognitive impairment (MCI)...