statistical computing on manifolds and its applications

PDE methods and their applications

medical image analysis, computer vision

diffusion MRI, functional MRI

image registration, segmentation, regularization

clustering, classification

inverse problem, compressive sensing

Analytical Spherical Polar Fourier Imaging

Riemannian framework for ODF computing

Mean Shift Functional Detection

Visual Tracking Via Incremental Log-Euclidean Riemannian Subspace Learning

Theoretical Analysis and Practical Insights on EAP Estimation via a Unified HARDI Framework, MICCAI workshop on Computational Diffusion MRI workshop (CDMRI'11), Toronto, 2011

Compressive Sensing Ensemble Average Propagator Estimation via L1 Spherical Polar Fourier Imaging, MICCAI workshop on Computational Diffusion MRI workshop (CDMRI'11), Toronto, 2011

Optimal Design of Multiple Q-shells experiments for Diffusion MRI, MICCAI workshop on Computational Diffusion MRI workshop (CDMRI'11), Toronto, 2011

Mathematical Modeling for Diffusion Magnetic Resonance Imaging, invited talk, the International Conference on Mathematical Methods for Imaging (ICMMI), Guangzhou, China, 2010

Nonparametric Mean Shift Functional Detection on Functional Space for Task and Resting-state fMRI, MICCAI workshop on fMRI data analysis: statistical modeling and detection issues in intra- and inter-subject functional MRI data analysis, London, 2009