• 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: