Alternatives and similar repositories for CFDnet:

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

• elchiou / DA
  Harnessing Uncertainty in Domain Adaptation for MRI Prostate Lesion Segmentation
  ☆18Updated 4 years ago
• KCL-BMEIS / ScribbleDA
  ☆22Updated 3 years ago
• MIRACLE-Center / Partially-supervised-multi-organ-segmentation
  code for Marginal loss and exclusion loss for partially supervised multi-organ segmentation
  ☆26Updated 3 years ago
• kli-lalala / Dual-Teacher-
  Dual-Teacher++: Exploiting Intra-domain and Inter-domain Knowledge with Reliable Transfer for Cardiac Segmentation
  ☆14Updated 4 years ago
• jacobzhaoziyuan / MT-UDA
  [MICCAI 2021] Official Implementation for "MT-UDA: Towards Unsupervised Cross-modality Medical Image Segmentation with Limited Source Lab…
  ☆28Updated 2 years ago
• FupingWu90 / VarDA
  ☆40Updated 2 years ago
• Endless-Hao / DDFSeg
  Disentangle domain features for cross-modality cardiac image segmentation
  ☆21Updated 3 years ago
• vios-s / DGNet
  Semi-supervised Meta-learning with Disentanglement for Domain-generalised Medical Image Segmentation
  ☆36Updated 3 years ago
• moucheng2017 / EM-BPL-Semi-Seg
  [MICCAI 2022 Best Paper Finalist] Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi Supervised Segmentation
  ☆39Updated last year
• poiuohke / UDC-Net
  Code for Dual-Consistency Semi-Supervised Learningwith Uncertainty Quantification for COVID-19Lesion Segmentation from CT Images
  ☆29Updated 3 years ago
• The-Veeraraghavan-Lab / PSIGAN
  Probabilistic segmentation and image matching segmentation network for unsupervised domain adaptation and segmentation
  ☆17Updated 4 years ago
• LWHYC / OneShot_WeaklySeg
  ☆27Updated 2 years ago
• jizongFox / Self-paced-Contrastive-Learning
  Self-Paced Contrastive Learning for Semi-supervised Medical Image Segmentation with Meta-labels for neurips 2021
  ☆27Updated 2 years ago
• FeiLyu / SASSL
  [TMI'2022] SASSL
  ☆14Updated last year
• MediaBrain-SJTU / BE-SSL
  Codes for our paper "Boundary-Enhanced Self-Supervised Learningfor Brain Structure Segmentation"
  ☆23Updated 2 years ago
• aim-uofa / partially-labelled
  Learning to segment multi-organ and tumorsfrom multiple partially labeled datasets
  ☆19Updated 3 years ago
• Dootmaan / PFSeg
  Patch-free 3D Medical Image Segmentation
  ☆35Updated 3 years ago
• devavratTomar / sasan
  SASAN
  ☆25Updated 4 years ago
• Hang-wenlong / LG-ER-MT
  code for LG-ER-MT
  ☆15Updated 4 years ago
• JohnleeHIT / SLEX-Net
  [IEEE-JBHI'2022] Hematoma Expansion Context Guided Intracranial Hemorrhage Segmentation and Uncertainty Estimation(Pytorch)
  ☆28Updated last year
• med-air / DLTTA
  [IEEE TMI'22] DLTTA: Dynamic Learning Rate for Test-time Adaptation on Cross-domain Medical Images
  ☆16Updated last year
• bbbbbbzhou / AccSeg-Net
  Anatomy-Constrained Contrastive Learning for Synthetic Segmentation without Ground-truth (MICCAI 2021)
  ☆23Updated 3 years ago
• xxxliu95 / DGNet
  Semi-supervised Meta-learning with Disentanglement for Domain-generalised Medical Image Segmentation
  ☆35Updated 3 years ago
• agis85 / anatomy_modality_decomposition
  SDNet Keras implementation
  ☆44Updated 4 years ago
• smallmax00 / Graph_Region_Boudnary
  IEEE-TMI 2021: code for 'Graph-based Region and Boundary Aggregation for Biomedical Image Segmentation'
  ☆29Updated 2 years ago
• FupingWu90 / CT_MR_2D_Dataset_DA
  ☆25Updated 2 years ago
• neerakara / test-time-adaptable-neural-networks-for-domain-generalization
  Code for the paper "Test-time adaptable neural networks for robust medical image segmentation"
  ☆46Updated 4 years ago
• WinstonHuTiger / 2D_VAE_UDA_for_3D_sythesis
  Pytorch implementation of MICCAI-2022 paper, Domain-adaptive 3D Medical Image Synthesis: An Efficient Unsupervised Approach https://arxiv…
  ☆20Updated 2 years ago
• alibaba-damo-academy / pixel-lesion-patient-network
  ☆31Updated last year
• CityU-AIM-Group / I2GCN
  [MedIA'22] Instance Importance-Aware Graph Convolutional Network for 3D Medical Diagnosis
  ☆17Updated 3 years ago