Alternatives and similar repositories for modl:

Users that are interested in modl are comparing it to the libraries listed below

• MLI-lab / ConvDecoder
  An un-trained neural network with a potential application in accelerated MRI
  ☆42Updated 3 years ago
• peng-cao / mripy
  A python based MRI reconstruction toolbox with compressed sensing, parallel imaging and machine-learning functions
  ☆132Updated 7 years ago
• tetianadadakova / Tutorial-MRI-Reconstruction-Using-GRAPPA
  ☆32Updated 6 years ago
• VLOGroup / mri-variationalnetwork
  Source code to our paper: "Learning a Variational Network for Reconstruction of Accelerated MRI Data"
  ☆144Updated 4 years ago
• byaman14 / SSDU
  ☆48Updated 2 years ago
• puneesh00 / cs-mri-gan
  Structure preserving Compressive Sensing MRI Reconstruction using Generative Adversarial Networks (CVPRW 2020)
  ☆32Updated 4 years ago
• hanyoseob / k-space-deep-learning
  k-Space Deep Learning for Accelerated MRI
  ☆32Updated 5 years ago
• adler-j / learned_primal_dual
  Learned Primal-Dual Reconstruction
  ☆98Updated 5 years ago
• bo-10000 / MoDL_PyTorch
  PyTorch implementation of MoDL: Model Based Deep Learning Architecture for Inverse Problems
  ☆25Updated last year
• mikgroup / espirit-python
  Python ESPIRiT implementation.
  ☆57Updated 8 years ago
• js3611 / dAUTOMAP
  Implementation of dAUTOMAP (ISMRM2019) in Pytorch
  ☆42Updated 5 years ago
• cetmann / pytorch-primaldual
  A Pytorch implementation of Learned Primal-Dual Reconstruction (Adler & Öktem, 2017)
  ☆13Updated 4 years ago
• MattRosenLab / AUTOMAP
  ☆61Updated last year
• mikgroup / sigpy-mri-tutorial
  SigPy for MRI Tutorial
  ☆74Updated 4 years ago
• wenqihuang / LS-Net-Dynamic-MRI
  This the code repository for paper "Deep Low-rank plus Sparse Network for Dynamic MR Imaging".
  ☆47Updated 2 years ago
• cagladbahadir / LOUPE
  Learning-based Optimization of the Under-sampling Pattern in MRI
  ☆53Updated 4 years ago
• Keziwen / SLR-Net
  Code for our work: "Learned Low-rank Priors in Dynamic MR Imaging"
  ☆38Updated 2 years ago
• khammernik / sigmanet
  Sigmanet: Systematic Evaluation of Iterative Deep Neural Networks for Fast Parallel MR Image Reconstruction,
  ☆54Updated 2 years ago
• zgongkuang / IterativeCNN
  Implementation code for "Iterative PET Image Reconstruction Using Convolutional Neural Network Representation"
  ☆44Updated 5 years ago
• oterobaguer / dip-ct-benchmark
  Computed Tomography Reconstruction Using DeepImage Prior and Learned Reconstruction Methods
  ☆34Updated 4 years ago
• eunh / low_dose_CT
  Deep Convolutional Framelet Denoising for Low-Dose CT via Wavelet Residual Network
  ☆69Updated 6 years ago
• Deep-Imaging-Group / MD-Recon-Net
  Code for “MD-Recon-Net: A Parallel Dual-Domain Convolutional Neural Network for Compressed Sensing MRI”
  ☆21Updated last year
• cq615 / kt-Dynamic-MRI-Reconstruction
  [MRM'21] Complementary Time-Frequency Domain Network for Dynamic Parallel MR Image Reconstruction. [MICCAI'19] k-t NEXT: Dynamic MR Image…
  ☆47Updated 3 years ago
• rmsouza01 / MC-MRI-Rec
  ☆51Updated 3 years ago
• pengbao7598 / PWLS-CSCGR
  Convolutional Sparse Coding for Compressed Sensing CT Reconstruction
  ☆41Updated 5 years ago
• lab-midas / ismrm-moco-workshop
  Hands-on examples for motion estimation and correction in MRI
  ☆34Updated 5 months ago
• SeiberlichLab / Abdominal_MR_Phantom
  Realistic 4D abdominal phantom for magnetic resonance imaging
  ☆18Updated last year
• cq615 / Deep-MRI-Reconstruction
  Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction: Implementation & Demo
  ☆30Updated 6 years ago
• j-duan / VS-Net
  Variable splitting network for accelerated parallel MRI reconstruction
  ☆38Updated 5 years ago
• chongduan / MRI-AUTOMAP
  ☆54Updated 6 years ago