Rachid Deriche

Regularized Spherical Polar Fourier Diffusion MRI with Optimal Dictionary Learning

Compressed Sensing (CS) takes advantage of signal sparsity or compressibility and allows superb signal reconstruction from relatively few measurements. Based on CS theory, a suitable dictionary...

Stereo matching, reconstruction and refinement of 3D curves using deformable contours

Recovering 3D motion and structure from stereo and 2D token tracking cooperation

Accurate corner detection: an analytical study

Region Tracking through Image Sequences

The Beltrami Flow over Implicit Manifolds

Diffusion Maps Segmentation of Magnetic Resonance Q-Ball Imaging

Geodesic Active Regions for Supervised Texture Segmentation

Geodesic Active Regions for Motion Estimation and Tracking

A PDE-Based Level-Set Approach for Detection and Tracking of Moving Objects

Variational Frameworks for DT-MRI Estimation, Regularization and Visualization

Spatially Varying Monte Carlo Sure for the Regularization of Biomedical Images

A fast and robust ODF estimation algorithm in Q-ball imaging

Fiber orientation distribution from non-negative sparse recovery

Splitting Tracking through Crossing Fibers: Multidirectional Q-Ball Tracking

Assessing the feasibility of estimating axon diameter using diffusion models and machine learning

DT-MRI Estimation, Regularization and Fiber Tractography

Extracting geometrical features & peak fractional anisotropy from the ODF for white matter characterization