Alternatives and similar repositories for SFUDA_AOS

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

• TFboys-lzz / MPSCL
  This repository contains code for the paper "Margin Preserving Self-paced Contrastive Learning Towards Domain Adaptation for Medical Imag…
  ☆32Updated 3 years ago
• ShishuaiHu / DoCR
  Code for [MICCAI 2022] Domain Specific Convolution and High Frequency Reconstruction based Unsupervised Domain Adaptation for Medical Ima…
  ☆29Updated 3 years ago
• DeepMedLab / Tri-U-MT
  ☆34Updated 4 years ago
• igip-liu / SLC-Net
  ☆45Updated 2 years ago
• grant-jpg / FUSSNet
  The code repo for "FUSSNet: Fusing Two Sources of Uncertainty forSemi-Supervised Medical Image Segmentation"
  ☆14Updated 3 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
• jacobzhaoziyuan / MT-UDA
  [MICCAI 2021] Official Implementation for "MT-UDA: Towards Unsupervised Cross-modality Medical Image Segmentation with Limited Source Lab…
  ☆32Updated 3 years ago
• ShinkaiZ / CLCC-semi
  ISBI 2022: Cross-level Contrastive Learning and Consistency Constraint for Semi-supervised Medical Image Segmentation.
  ☆47Updated 2 years ago
• cchen-cc / SFDA-DPL
  [MICCAI'21] Source-Free domain adaptive fundus image segmentation with denoised pseudo-labeling
  ☆60Updated 3 years ago
• ReaFly / SemiMedSeg
  MICCAI 2021 : Self-Supervised Correction Learning for Semi-Supervised Biomedical Image Segmentation (Pytorch implementation).
  ☆25Updated 2 years ago
• Kaiseem / SLAug
  [AAAI 2023] Official PyTorch implementation of the paper "SLAug: Rethinking Data Augmentation for Single-source Domain Generalization in …
  ☆75Updated 11 months ago
• Jiawei0o0 / mutual-learning-with-reliable-pseudo-labels
  ☆35Updated last year
• zhuye98 / ICL
  The official repo for [MIDL'23 Oral] "Inherent Consistent Learning for Accurate Semi-supervised Medical Image Segmentation"
  ☆32Updated last year
• himashi92 / Duo-SegNet
  [MICCAI2021] This is an official PyTorch implementation for "Duo-SegNet: Adversarial Dual-Views for Semi-Supervised Medical Image Segment…
  ☆51Updated 4 years ago
• smallmax00 / Shape_aware_Weakly-Semi_ODOC_seg
  MICCAI 2022: code for 'Shape-Aware Weakly/Semi-Supervised Optic Disc and Cup Segmentation with Regional/Marginal Consistency'
  ☆17Updated 3 years ago
• PerceptionComputingLab / SCC
  [CMIG‘2022] [Pytorch]A Contrastive Consistency Semi-supervised Left Atrium Segmentation Model
  ☆15Updated 3 years ago
• zzw-szu / CDCL
  ☆40Updated 3 years ago
• krishnabits001 / pseudo_label_contrastive_training
  Code for Pseudo label based contrastive learning joint training approach
  ☆58Updated 3 years ago
• CityU-AIM-Group / SFDA-FSM
  [MIA' 22] Source free domain adaptation for medical image segmentation with fourier style mining
  ☆48Updated last year
• JuzhengMiao / CauSSL
  ☆29Updated 2 years ago
• jacobzhaoziyuan / LE-UDA
  [IEEE TMI 2022] Official Implementation for "LE-UDA: Label-efficient unsupervised domain adaptation for medical image segmentation"
  ☆11Updated last year
• AIforMS / UPC-Pytorch
  The code of ours paper "Uncertainty-aware Pseudo-label and Consistency for Semi-supervised Medical Image Segmentation"
  ☆14Updated 3 years ago
• SakurajimaMaiii / ProtoKD
  [ICASSP 2023] Prototype Knowledge Distillation for Medical Segmentation with Missing Modality
  ☆55Updated 8 months ago
• FupingWu90 / VarDA
  ☆46Updated 3 years ago
• hritam-98 / ICT-MedSeg
  Code implementation for our paper ACCEPTED in ISBI, 2022
  ☆40Updated 3 years ago
• ShishuaiHu / DCAC
  Code for [IEEE-TMI] Domain and Content Adaptive Convolution based Multi-Source Domain Generalization for Medical Image Segmentation.
  ☆38Updated 2 years ago
• YichiZhang98 / UG-MCL
  [AIIM'22] The official code for "Uncertainty-Guided Mutual Consistency Learning for Semi-Supervised Medical Image Segmentation"
  ☆23Updated 2 years ago
• ahmedeqbal / PDF-UNet
  ☆17Updated 2 years ago
• HiLab-git / FPL-plus
  FPL+: Filtered Pseudo Label-based Unsupervised Cross-Modality Adaptation for 3D Medical Image Segmentation
  ☆31Updated last year
• BWGZK / ShapePU
  [MICCAI 2022] ShapePU: A New PU Learning Framework Regularized by Global Consistency for Scribble Supervised Cardiac Segmentation
  ☆37Updated 3 years ago