Alternatives and similar repositories for SFUDA_AOS

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

• ShishuaiHu / DoCR
  Code for [MICCAI 2022] Domain Specific Convolution and High Frequency Reconstruction based Unsupervised Domain Adaptation for Medical Ima…
  ☆30Updated 3 years ago
• DeepMedLab / Tri-U-MT
  ☆34Updated 4 years ago
• zhuye98 / ICL
  The official repo for [MIDL'23 Oral] "Inherent Consistent Learning for Accurate Semi-supervised Medical Image Segmentation"
  ☆32Updated last year
• 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
• jizongFox / Self-paced-Contrastive-Learning
  Self-Paced Contrastive Learning for Semi-supervised Medical Image Segmentation with Meta-labels for neurips 2021
  ☆27Updated 3 years ago
• Kaiseem / SLAug
  [AAAI 2023] Official PyTorch implementation of the paper "SLAug: Rethinking Data Augmentation for Single-source Domain Generalization in …
  ☆77Updated last year
• igip-liu / SLC-Net
  ☆45Updated 2 years ago
• ReaFly / SemiMedSeg
  MICCAI 2021 : Self-Supervised Correction Learning for Semi-Supervised Biomedical Image Segmentation (Pytorch implementation).
  ☆26Updated 2 years ago
• ShinkaiZ / CLCC-semi
  ISBI 2022: Cross-level Contrastive Learning and Consistency Constraint for Semi-supervised Medical Image Segmentation.
  ☆47Updated 3 years ago
• 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
• Lemonzhoumeng / SC-Net
  ☆14Updated last year
• cchen-cc / SFDA-DPL
  [MICCAI'21] Source-Free domain adaptive fundus image segmentation with denoised pseudo-labeling
  ☆61Updated 3 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
• zzw-szu / CDCL
  ☆40Updated 3 years ago
• JuzhengMiao / CauSSL
  ☆30Updated 2 years ago
• koncle / CoraNet
  ☆56Updated 3 years ago
• xmed-lab / DHC
  MICCAI 2023: DHC: Dual-debiased Heterogeneous Co-training Framework for Class-imbalanced Semi-supervised Medical Image Segmentation
  ☆65Updated last year
• CityU-AIM-Group / SFDA-FSM
  [MIA' 22] Source free domain adaptation for medical image segmentation with fourier style mining
  ☆49Updated last year
• wxfaaaaa / DCNet
  Decoupled Consistency for Semi-supervised Medical Image Segmentation(MICCAI 2023)
  ☆26Updated 2 years ago
• Jiawei0o0 / mutual-learning-with-reliable-pseudo-labels
  ☆42Updated last year
• cvszusparkle / AAS-DCL_FSS
  Dual Contrastive Learning for Few-shot Medical Image Segmentation
  ☆28Updated 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
• ShishuaiHu / DCAC
  Code for [IEEE-TMI] Domain and Content Adaptive Convolution based Multi-Source Domain Generalization for Medical Image Segmentation.
  ☆40Updated 3 years ago
• CSCYQJ / MICCAI23-ProtoContra-SFDA
  This is the official code of MICCAI23 paper "Source-Free Domain Adaptation for Medical Image Segmentation via Prototype-Anchored Feature …
  ☆35Updated 2 years ago
• SakurajimaMaiii / ProtoKD
  [ICASSP 2023] Prototype Knowledge Distillation for Medical Segmentation with Missing Modality
  ☆56Updated 11 months ago
• lemoshu / AC-MT
  [MedIA23] Ambiguity-selective consistency regularization for mean-teacher semi-supervised medical image segmentation
  ☆29Updated 2 years ago
• shenqq377 / Q-Net
  Python codes to implement Q-Net, a meta-learning method for few shot medical image segmentation
  ☆52Updated 2 years ago
• SUST-reynole / ASE-Net
  ☆31Updated 3 years ago
• zzw-szu / CoNuSeg
  ☆11Updated 2 years ago
• PerceptionComputingLab / SCC
  [CMIG‘2022] [Pytorch]A Contrastive Consistency Semi-supervised Left Atrium Segmentation Model
  ☆15Updated 3 years ago