Alternatives and similar repositories for dip-ct-benchmark

Users that are interested in dip-ct-benchmark are comparing it to the libraries listed below

• jleuschn / dival
  Deep Inversion Validation Library
  ☆78Updated 5 months ago
• adler-j / learned_primal_dual
  Learned Primal-Dual Reconstruction
  ☆101Updated 6 years ago
• hkaggarwal / modl
  MoDL: Model-Based Deep Learning Architecture for Inverse Problems
  ☆187Updated last year
• MLI-lab / ConvDecoder
  An un-trained neural network with a potential application in accelerated MRI
  ☆42Updated 3 years ago
• panakino / FBPConvNet
  FBPConvNet for computed tomography
  ☆56Updated 7 years ago
• matteo-ronchetti / torch-radon
  Computational Tomography in PyTorch
  ☆246Updated last year
• guanhuaw / MIRTorch
  A PyTorch-powered differentiable image reconstruction/optimization toolbox
  ☆136Updated 3 months ago
• cetmann / pytorch-primaldual
  A Pytorch implementation of Learned Primal-Dual Reconstruction (Adler & Öktem, 2017)
  ☆13Updated 5 years ago
• anonyr7 / Sinogram-Inpainting
  ☆23Updated 3 years ago
• zgongkuang / IterativeCNN
  Implementation code for "Iterative PET Image Reconstruction Using Convolutional Neural Network Representation"
  ☆44Updated 6 years ago
• byaman14 / SSDU
  ☆51Updated 3 years ago
• bo-10000 / MoDL_PyTorch
  PyTorch implementation of MoDL: Model Based Deep Learning Architecture for Inverse Problems
  ☆27Updated last year
• ILoveU3D / Algorithm-list-of-CT-reprojection
  Learn a series of implementation codes in the process of CT reconstruction / imaging.
  ☆22Updated 3 years ago
• jmaces / aapm-ct-challenge
  AAPM DL Sparse-View Computed Tomography Image Reconstruction Challenge - Team Robust-And-Stable
  ☆48Updated 3 years ago
• VLOGroup / mri-variationalnetwork
  Source code to our paper: "Learning a Variational Network for Reconstruction of Accelerated MRI Data"
  ☆150Updated 4 years ago
• mikgroup / espirit-python
  Python ESPIRiT implementation.
  ☆59Updated 8 years ago
• hellopipu / classical-MRI-reconstruction
  A python/Pytorch re-implementation of several classical Magnetic Resonance Imaging (MRI) reconstruction algorithms
  ☆27Updated last year
• jleuschn / lodopab_tech_ref
  Technical reference for the LoDoPaB-CT dataset
  ☆14Updated 4 years ago
• rixez / pytorch_mri_variationalnetwork
  A pytorch implementation for variational network for MRI reconstruction
  ☆23Updated 4 years ago
• JeffFessler / mirt
  Michigan Image Reconstruction Toolbox (MIRT) - Matlab version
  ☆187Updated last year
• cagladbahadir / LOUPE
  Learning-based Optimization of the Under-sampling Pattern in MRI
  ☆55Updated 4 years ago
• jaejun-yoo / TDDIP
  Time-Dependent Deep Image Prior for Dynamic MRI
  ☆26Updated 3 years ago
• zaccharieramzi / tfkbnufft
  A robust, easy-to-deploy non-uniform Fast Fourier Transform in TensorFlow.
  ☆31Updated 2 years ago
• hanyoseob / k-space-deep-learning
  k-Space Deep Learning for Accelerated MRI
  ☆32Updated 6 years ago
• CEA-COSMIC / pysap-mri
  MRI external plugin for Python Sparse data Analysis Package
  ☆44Updated 4 months ago
• lab-midas / ismrm-moco-workshop
  Hands-on examples for motion estimation and correction in MRI
  ☆40Updated 10 months ago
• utcsilab / deepinpy
  Deep inverse problems in Python
  ☆59Updated 2 years ago
• mikgroup / sigpy-mri-tutorial
  SigPy for MRI Tutorial
  ☆79Updated 4 years ago
• mozanunal / SparseCT
  Framework for designing, training and benchmarking sparse-view CT reconstruction algorithms; includes datasets, metrics, baselines and CL…
  ☆48Updated last year
• pengbao7598 / GSR-SART
  Few-view CT reconstruction with group-sparsity regularization
  ☆29Updated 7 years ago