Software

• Deep SLR: Deep Structured Low-rank recovery for uncalibrated
• MoDL: Calibrated parallel MRI using Model based deep learning
• J-MoDL: Joint model-based deep learning for sampling pattern optimization.
• MoDL-MUSSELS: Diffusion MRI using Deep Learning
• SPIRAL-STORM: Navigator/Navigator-less implementation of Smoothness regularization on manifolds (STORM)
• L2-SToRM: Dynamic MRI using smooThness regularization on manifolds (STORM).
• GIRAF: Structured low-rank algorithms for accelerated MRI
• k-t SLR: Accelerated dynamic MRI using low rank and sparse penalties. 
• HDTV: Higher degree total variation regularization. 
• Generalized HDTV: Fast implementation of HDTV regularization for 3D inverse problems. 
• Optimized NUFFT: Non-uniform fast Fourier transfer for non-Cartesian MRI.
• BCS/Blind CS: Blind compressed sensing dynamic MRI.
• GOOSE: GlObally Optimal Surface Estimation for fat-water decomposition.
• (DC-CS): Deformation corrected compressed sensing dynamic MRI.
• PatchReg: Iterative shrinkage algorithm for Patch-Smoothness MRI.
• PRICE: Patch Regularization for Implicit motion CompEnsation. 
• Superresolution Image Recovery: Extension of FRI algorithms to multi-dimensional setting. 
• R-GOOSE: Rapid GlObally Optimal Surface Estimation for fat-water decomposition. 

Java and ImageJ Software: 

• SteerableJ: Steerable Feature Detection.