Alternatives and similar repositories for A4SM:

Users that are interested in A4SM are comparing it to the libraries listed below

• tqxli / self_supervised_learning_in_medical_imaging
  A collection of self-supervised papers in medical imaging.
  ☆39Updated 3 years ago
• EndoluminalSurgicalVision-IMR / Medical-SSL
  [MedIA 2023] The official implementation of MIA paper "Dive into the details of Self-supervised Learning for Medical Image Analysis"
  ☆30Updated 9 months ago
• fhaghighi / DiRA
  Official PyTorch Implementation for DiRA: Discriminative, Restorative, and Adversarial Learning for Self-supervised Medical Image Analysi…
  ☆100Updated 9 months ago
• alibaba-damo-academy / self-supervised-anatomical-embedding-v2
  ☆53Updated 11 months ago
• cheng-01037 / Causality-Medical-Image-Domain-Generalization
  [IEEE-TMI'22] Causality-inspired Single-source Domain Generalization for Medical Image Segmentation (code&data-processing pipeline)
  ☆91Updated 2 years ago
• kaland313 / SSL-MedSeg
  Official implementation of our paper "Self-Supervised Pretraining for 2D Medical Image Segmentation"
  ☆43Updated 11 months ago
• Duplums / yAwareContrastiveLearning
  Official Pytorch Implementation for y-Aware Contrastive Learning
  ☆55Updated last year
• lambert-x / medical_mae
  The official implementation of "Delving into Masked Autoencoders for Multi-Label Thorax Disease Classification"
  ☆68Updated 10 months ago
• yhygao / universal-medical-image-segmentation
  ☆66Updated 7 months ago
• dewenzeng / positional_cl
  code for paper Positional Contrastive Learning for Volumetric Medical Image Segmentation
  ☆57Updated 4 months ago
• MECLabTUDA / Lifelong-nnUNet
  ☆139Updated 4 months ago
• SaeedShurrab / awesome-self-supervised-learning-in-medical-imaging
  This repository is mainly dedicated for listing the recent research advancements in the application of Self-Supervised-Learning in medica…
  ☆143Updated 5 months ago
• JunMa11 / Diffusion-Models-in-MedIA
  A curated list of diffusion models in medical image analysis.
  ☆88Updated 2 years ago
• YtongXie / UniMiSS-code
  [ECCV2022&TPAMI] Official pytorch implementation of UniMiSS & UniMiSS+
  ☆60Updated last month
• StefanoWoerner / medimeta-pytorch
  The medical imaging meta-learning toolbox allows to build models that learn to learn in a setting with diverse tasks. It also provides co…
  ☆39Updated 8 months 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
• stanfordmlgroup / MoCo-CXR
  MoCo-based unsupervised training for Chest X-Ray Interpretation
  ☆41Updated 3 years ago
• jlianglab / CAiD
  Official PyTorch Implementation for CAiD: Context-Aware Instance Discrimination for Self-supervised Learning in Medical Imaging - MIDL 20…
  ☆10Updated 2 years ago
• MIC-DKFZ / MultiTalent
  Implemention of the Paper "MultiTalent: A Multi-Dataset Approach to Medical Image Segmentation"
  ☆50Updated last month
• GJiananChen / MICCAI2021-OpenReviewAnalysis
  Starting from MICCAI 2021, all accepted papers and their corresponding reviews are publicly available on OpenReview. This repo contains s…
  ☆57Updated 3 years ago
• jlianglab / Ark
  ☆21Updated last week
• ai-med / DAFT
  Dynamic Affine Feature Map Transform
  ☆39Updated 7 months ago
• yiqings / MICCAI2022_paper_with_code
  MICCAI 2022 Paper with Code
  ☆96Updated 2 years ago
• YutingHe-list / GVSL
  ☆57Updated last year
• BWGZK / ShapePU
  [MICCAI 2022] ShapePU: A New PU Learning Framework Regularized by Global Consistency for Scribble Supervised Cardiac Segmentation
  ☆35Updated 2 years ago
• ikboljon / tmss_miccai
  TMSS: An End-to-End Transformer-based Multimodal Network for Segmentation and Survival Prediction
  ☆31Updated 2 years ago
• uni-medical / MedIM
  One-line code to get pre-trained Medical Image Models ready in PyTorch.
  ☆24Updated 4 months ago
• FupingWu90 / MERU
  Semi-Supervised-Learning
  ☆11Updated 2 years ago
• mobarakol / SVLS
  ☆16Updated last year
• Wangyixinxin / ACN
  [MICCAI 2021] Adversarial Co-training Network for Brain Tumor Segmentation with Missing Modalities
  ☆38Updated 3 years ago