Alternatives and similar repositories for SimBA:

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

• 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
• funnyzhou / A4SM
  Archive for Self-supervised learning in Medical images (A4SM).
  ☆56Updated 2 years ago
• Stomper10 / CheXpert
  Reproducing CheXpert paper using the PyTorch library.
  ☆37Updated last year
• tqxli / self_supervised_learning_in_medical_imaging
  A collection of self-supervised papers in medical imaging.
  ☆39Updated 3 years ago
• vios-s / vMFNet
  vMFNet: Compositionality Meets Domain-generalised Segmentation
  ☆15Updated 2 years ago
• YtongXie / MedIM
  [MICCAI2023&MedIA] Official pytorch implementation of MedIM
  ☆10Updated 3 months ago
• melanibe / failure_detection_benchmark
  Code for the paper "Failure Detection in Medical Image Classification: A Reality Check and Benchmarking Testbed", TMLR 2022, Bernhardt et…
  ☆20Updated 2 years ago
• stanfordmlgroup / MoCo-CXR
  MoCo-based unsupervised training for Chest X-Ray Interpretation
  ☆41Updated 3 years ago
• med-air / DiffusionMLS
  [IPMI'23] Diffusion Model based Semi-supervised Learning on Brain Hemorrhage Images for Efficient Midline Shift Quantification
  ☆12Updated last year
• ikboljon / tmss_miccai
  TMSS: An End-to-End Transformer-based Multimodal Network for Segmentation and Survival Prediction
  ☆31Updated 2 years ago
• med-air / TOP-GPM
  ☆12Updated 5 months ago
• mobarakol / SVLS
  ☆16Updated last year
• batmanlab / Context_Aware_SSL
  Official PyTorch implementation for paper Context Matters: Graph-based Self-supervised Representation Learning for Medical Images
  ☆59Updated 2 years ago
• ReubenDo / U-HVED
  Hetero-Modal Variational Encoder-Decoder for Joint Modality Completion and Segmentation
  ☆36Updated last year
• vios-s / disentanglement_tutorial
  This repository summarizes the material gathered for the tutorial on learning disentangled representations in the imaging domain, and ser…
  ☆59Updated 2 years ago
• ishaanb92 / GeneralizedProbabilisticUNet
  PyTorch model for the Generalized Probabilistic U-Net. For more details see: https://www.melba-journal.org/papers/2023:005.html
  ☆13Updated 10 months ago
• MIC-DKFZ / mood
  Repository for the Medical Out-of-Distribution Analysis Challenge.
  ☆61Updated 5 months ago
• ys-zong / MEDFAIR
  [ICLR 2023 spotlight] MEDFAIR: Benchmarking Fairness for Medical Imaging
  ☆60Updated last year
• jlianglab / Ark
  ☆21Updated last week
• ai-med / DAFT
  Dynamic Affine Feature Map Transform
  ☆39Updated 7 months ago
• moucheng2017 / Med-Noisy-Labels
  [NeurIPS 2020] Disentangling Human Error from the Ground Truth in Segmentation of Medical Images
  ☆71Updated last year
• VITA-Group / CheXT
  ☆19Updated 2 years ago
• cuicathy / MMD_SurvivalPrediction
  Code and data for MICCAI 2022 accepted paper: Survival Prediction of Brain Cancer with Incomplete Radiology, Pathology, Genomics, and Dem…
  ☆18Updated 10 months ago
• suinleelab / MONET
  Transparent medical image AI via an image–text foundation model grounded in medical literature
  ☆58Updated last month
• vios-s / DGNet
  Semi-supervised Meta-learning with Disentanglement for Domain-generalised Medical Image Segmentation
  ☆36Updated 3 years ago
• FupingWu90 / MERU
  Semi-Supervised-Learning
  ☆11Updated 2 years ago
• heyufan1995 / self-domain-adapted-network
  MICCAI2020: self domain adapted network
  ☆17Updated 3 years ago
• cirmuw / dynamicmemory
  Code for continual machine learning using a dynamic memory (Perkonigg et al. Nat Comms 2021)
  ☆14Updated last year
• 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
• batmanlab / AGXNet
  ☆23Updated 2 years ago