Alternatives and similar repositories for Cooridnate-based-Internal-Learning

Users that are interested in Cooridnate-based-Internal-Learning are comparing it to the libraries listed below

• liyues / NeRP
  Implicit Neural Representation Learning With Prior Embedding for Sparsely Sampled Image Reconstruction
  ☆100Updated 2 years ago
• efzero / PINER
  ☆19Updated last year
• jleuschn / lodopab_tech_ref
  Technical reference for the LoDoPaB-CT dataset
  ☆14Updated 4 years ago
• YaminArefeen / spark_mrm_2021
  ☆17Updated 3 years ago
• iwuqing / SCOPE
  [IEEE TCI] Self-Supervised Coordinate Projection Network for Sparse-View Computed Tomography
  ☆24Updated last year
• lonelyatu / SISTER
  Sparse-view Spectral CT Reconstruction
  ☆10Updated 4 years ago
• jleuschn / dival
  Deep Inversion Validation Library
  ☆78Updated 5 months ago
• mozanunal / SparseCT
  Framework for designing, training and benchmarking sparse-view CT reconstruction algorithms; includes datasets, metrics, baselines and CL…
  ☆48Updated 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
• adler-j / learned_primal_dual
  Learned Primal-Dual Reconstruction
  ☆101Updated 6 years ago
• berkanlafci / pyoat
  Python Package for Optoacoustic Tomography (OAT)
  ☆24Updated 3 years ago
• edongdongchen / REI
  Robust Equivariant Imaging (REI), CVPR'2022 Oral
  ☆94Updated 3 years ago
• bo-10000 / MoDL_PyTorch
  PyTorch implementation of MoDL: Model Based Deep Learning Architecture for Inverse Problems
  ☆27Updated last year
• pengbao7598 / GSR-SART
  Few-view CT reconstruction with group-sparsity regularization
  ☆29Updated 7 years ago
• hongtao-argmin / CQNPCS_MRIReco
  Python implementation of A Complex Quasi-Newton Proximal Method for Image Reconstruction in Compressed Sensing MRI paper
  ☆12Updated 3 months ago
• panakino / FBPConvNet
  FBPConvNet for computed tomography
  ☆56Updated 7 years ago
• wustl-cig / DeCAF
  ☆50Updated 2 years ago
• wustl-cig / DOLCE
  DOLCE, ICCV2023. Pytorch Implementation.
  ☆51Updated last year
• ahendriksen / noise2inverse
  Code accompanying "Noise2Inverse: Self-supervised deep convolutional denoising for linear image reconstruction"
  ☆39Updated 3 years ago
• oterobaguer / dip-ct-benchmark
  Computed Tomography Reconstruction Using DeepImage Prior and Learned Reconstruction Methods
  ☆35Updated 4 years ago
• cicwi / WalnutReconstructionCodes
  Python and MATLAB scripts for computing reconstruction from an openly available X-ray data set
  ☆51Updated last year
• jaejun-yoo / TDDIP
  Time-Dependent Deep Image Prior for Dynamic MRI
  ☆26Updated 3 years ago
• jmaces / aapm-ct-challenge
  AAPM DL Sparse-View Computed Tomography Image Reconstruction Challenge - Team Robust-And-Stable
  ☆48Updated 3 years ago
• anonyr7 / Sinogram-Inpainting
  ☆23Updated 3 years ago
• Ruimin-Feng / MoDL-QSM
  Source codes and trained networks described in the paper: MoDL-QSM: Model-based Deep Learning for Quantitative Susceptibility Mapping
  ☆11Updated last year
• xiawj-hub / CTLIB
  A lib of CT projector and back-projector based on PyTorch
  ☆52Updated last year
• jonzhaocn / fbpconvnet_pytorch
  ☆34Updated 4 years ago
• Ruyi-Zha / naf_cbct
  "Neural Attenuation Fields for Sparse-View CBCT Reconstruction" (MICCAI 2022 Oral)
  ☆153Updated 8 months ago
• MLI-lab / ConvDecoder
  An un-trained neural network with a potential application in accelerated MRI
  ☆42Updated 3 years ago
• MIAGroupUT / IDIR
  Code for the MIDL 2022 paper Implicit Neural Representations for Deformable Image Registration
  ☆43Updated last year