Alternatives and similar repositories for RefineGAN:

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

• gongenhao / GANCS
  Compressed Sensing MRI based on Deep Generative Adversarial Network
  ☆89Updated 7 years ago
• khammernik / sigmanet
  Sigmanet: Systematic Evaluation of Iterative Deep Neural Networks for Fast Parallel MR Image Reconstruction,
  ☆54Updated 2 years ago
• CedricChing / DeepMRI
  The code for paper 'DeepcomplexMRI: Exploiting deep residual network for fast parallel MR imaging with complex convolution'
  ☆48Updated 5 years ago
• rmsouza01 / CD-Deep-Cascade-MR-Reconstruction
  This repository seeks to investigate the usage of Cascades of Convolutional Neural Networks for Magnetic Resonance Image reconstruction.
  ☆33Updated 4 years ago
• cagladbahadir / LOUPE
  Learning-based Optimization of the Under-sampling Pattern in MRI
  ☆53Updated 4 years ago
• YunzeMan / DCSRN
  An implementation of BRAIN MRI SUPER RESOLUTION USING 3D DEEP DENSELY CONNECTED NEURAL NETWORKS
  ☆56Updated 7 years ago
• mseitzer / csmri-refinement
  Code for "Adversarial and Perceptual Refinement Compressed Sensing MRI Reconstruction"
  ☆30Updated 6 years ago
• tetianadadakova / MRI-CNN
  Convolutional neural network in TensorFlow for magnetic resonance images reconstruction from frequency domain
  ☆72Updated 6 years ago
• guopengf / ReconFormer
  ReconFormer: Accelerated MRI Reconstruction Using Recurrent Transformer
  ☆62Updated 6 months ago
• nalinimsingh / interlacer
  Joint Frequency and Image Space Learning for MRI Reconstruction and Analysis
  ☆38Updated 2 years ago
• philouc / mri_acq_recon_tutorial
  Code for ISBI'19 Tutorial
  ☆31Updated last year
• mikgroup / UFLoss
  ☆31Updated 2 years ago
• MRSRL / dl-cs
  Compressed Sensing: From Research to Clinical Practice with Data-Driven Learning
  ☆43Updated 5 years ago
• hmshan / CPCE-3D
  Low-dose CT via Transfer Learning from a 2D Trained Network, In IEEE TMI 2018
  ☆51Updated 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
• js3611 / dAUTOMAP
  Implementation of dAUTOMAP (ISMRM2019) in Pytorch
  ☆42Updated 5 years ago
• j-duan / VS-Net
  Variable splitting network for accelerated parallel MRI reconstruction
  ☆38Updated 5 years ago
• xinario / SAGAN
  Sharpness-aware Low Dose CT Denoising Using Conditional Generative Adversarial Network
  ☆130Updated 3 years ago
• geopi1 / DeepMRI
  Pytorch implementation of RAKI, k-space interpolation of MRI data
  ☆34Updated 2 years ago
• chenhu96 / Self-Supervised-MRI-Reconstruction
  Self-Supervised Learning for MRI Reconstruction with a Parallel Network Training Framework. (MICCAI 2021, official code)
  ☆51Updated 3 years ago
• pputzky / irim_fastMRI
  i-RIM applied to the fastMRI challenge data.
  ☆28Updated 3 years ago
• tinyRattar / CSMRI_0325
  My personal work in CS-MRI
  ☆36Updated 4 years ago
• utcsilab / deepinpy
  Deep inverse problems in Python
  ☆57Updated last year
• MLI-lab / ConvDecoder
  An un-trained neural network with a potential application in accelerated MRI
  ☆42Updated 3 years ago
• yyqqss09 / ldct_denoising
  ☆27Updated 5 years ago
• hmshan / MAP-NN
  Source code of MAP-NN paper
  ☆36Updated 5 years ago
• rmsouza01 / MC-MRI-Rec
  ☆51Updated 3 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
• utcsilab / deep-jsense
  Code for Deep J-Sense: Accelerated MRI Reconstruction via Unrolled Alternating Optimization
  ☆29Updated last year
• hanyoseob / framing-u-net
  Deep Convolutional Framelets: A General Deep Learning Framework for Inverse Problems
  ☆27Updated 6 years ago