Alternatives and similar repositories for disentanglement_tutorial:

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

• vios-s / vMFNet
  vMFNet: Compositionality Meets Domain-generalised Segmentation
  ☆15Updated 2 years ago
• ys-zong / MEDFAIR
  [ICLR 2023 spotlight] MEDFAIR: Benchmarking Fairness for Medical Imaging
  ☆60Updated last year
• 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
• med-air / DLTTA
  [IEEE TMI'22] DLTTA: Dynamic Learning Rate for Test-time Adaptation on Cross-domain Medical Images
  ☆16Updated last year
• IML-DKFZ / fd-shifts
  A Benchmark for Failure Detection under Distribution Shifts in Image Classification
  ☆30Updated 4 months ago
• CherBass / ICAM
  ICAM: Interpretable Classification via Disentangled Representations and Feature Attribution Mapping
  ☆53Updated 2 years ago
• gigantenbein / UNet-Zoo
  Different U-Net implementations featuring a vanilla U-Net, probabilistic U-Net and PHiSeg. Each with a reversible variant aswell.
  ☆23Updated 2 years 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
• funnyzhou / A4SM
  Archive for Self-supervised learning in Medical images (A4SM).
  ☆56Updated 2 years ago
• moucheng2017 / Med-Noisy-Labels
  [NeurIPS 2020] Disentangling Human Error from the Ground Truth in Segmentation of Medical Images
  ☆71Updated last year
• Duplums / yAwareContrastiveLearning
  Official Pytorch Implementation for y-Aware Contrastive Learning
  ☆55Updated last year
• ishaanb92 / GeneralizedProbabilisticUNet
  PyTorch model for the Generalized Probabilistic U-Net. For more details see: https://www.melba-journal.org/papers/2023:005.html
  ☆13Updated 11 months ago
• MIC-DKFZ / mood
  Repository for the Medical Out-of-Distribution Analysis Challenge.
  ☆61Updated 6 months ago
• vios-s / DGNet
  Semi-supervised Meta-learning with Disentanglement for Domain-generalised Medical Image Segmentation
  ☆36Updated 3 years ago
• heyufan1995 / self-domain-adapted-network
  MICCAI2020: self domain adapted network
  ☆17Updated 3 years ago
• slliuEric / FSUDA
  AAAI2023 Reducing Domain Gap in Frequency and Spatial domain for Cross-modality Domain Adaptation on Medical Image Segmentation
  ☆24Updated last year
• tqxli / self_supervised_learning_in_medical_imaging
  A collection of self-supervised papers in medical imaging.
  ☆39Updated 3 years ago
• ReubenDo / U-HVED
  Hetero-Modal Variational Encoder-Decoder for Joint Modality Completion and Segmentation
  ☆36Updated last year
• cheng-01037 / Causality-Medical-Image-Domain-Generalization
  [IEEE-TMI'22] Causality-inspired Single-source Domain Generalization for Medical Image Segmentation (code&data-processing pipeline)
  ☆92Updated 2 years ago
• YyzHarry / shortcut-ood-fairness
  [Nature Medicine] The Limits of Fair Medical Imaging AI In Real-World Generalization
  ☆26Updated last month
• jeya-maria-jose / On-The-Fly-Adaptation
  Code base for "On-the-Fly Test-time Adaptation for Medical Image Segmentation"
  ☆28Updated 2 years ago
• devavratTomar / OptTTA
  OptTTA
  ☆9Updated 2 years ago
• FupingWu90 / MERU
  Semi-Supervised-Learning
  ☆11Updated 2 years ago
• mathilde-b / SFDA
  Source-Free Domain Adaptation
  ☆41Updated last year
• CityU-AIM-Group / SFDA-FSM
  [MIA' 22] Source free domain adaptation for medical image segmentation with fourier style mining
  ☆43Updated 11 months ago
• cherise215 / MaxStyle
  [MICCAI 2022] MaxStyle: Adversarial Style Composition for Robust Medical Image Segmentation
  ☆33Updated 2 years ago
• jizongFox / Self-paced-Contrastive-Learning
  Self-Paced Contrastive Learning for Semi-supervised Medical Image Segmentation with Meta-labels for neurips 2021
  ☆26Updated 2 years ago
• wyf0912 / LDDG
  [NIPS 2020] The code release of paper 'Domain Generalization for Medical Imaging Classification with Linear-Dependency Regularization'
  ☆65Updated 4 years ago
• CAMP-eXplain-AI / Style-CheXplain
  GAN-based method to create counterfactual explanations for chest X-rays
  ☆23Updated 2 years ago
• MediaBrain-SJTU / BE-SSL
  Codes for our paper "Boundary-Enhanced Self-Supervised Learningfor Brain Structure Segmentation"
  ☆23Updated 2 years ago