Alternatives and similar repositories for nnOOD:

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

• MIC-DKFZ / vae-anomaly-experiments
  ☆26Updated 5 years ago
• tianyu0207 / CCD
  Code for 'Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images' [MICCAI 2…
  ☆49Updated 2 years ago
• jusiro / constrained_anomaly_segmentation
  [MedIA'22] Constrained unsupervised anomaly segmentation.
  ☆19Updated last year
• iolag / UPD_study
  This repository contains code from our comparative study on state of the art unsupervised pathology detection and segmentation methods.
  ☆23Updated 10 months ago
• jemtan / FPI
  Code for FPI submission to MOOD 2020
  ☆16Updated 3 years ago
• CharlesKangZhou / awesome-anomaly-detection-in-medical-images
  Awesome anomaly detection in medical images
  ☆86Updated 2 years ago
• DorisBao / BMAD
  BMAD hold a Creative Commons Attribution-NonCommercial-ShareAlike (CC BY-NC-SA) license
  ☆58Updated 8 months ago
• FinnBehrendt / patched-Diffusion-Models-UAD
  Codebase for Patched Diffusion Models for Unsupervised Anomaly Detection .
  ☆43Updated 2 months ago
• ahmedgh970 / brain-anomaly-seg
  Transformer-based Models for Unsupervised Anomaly Segmentation in Brain MR Images
  ☆21Updated 4 months ago
• MIC-DKFZ / mood
  Repository for the Medical Out-of-Distribution Analysis Challenge.
  ☆61Updated 5 months ago
• dbbbbm / UAE
  Implementation of "Abnormality Detection in Chest X-ray Images Using Uncertainty Prediction Autoencoders" in MICCAI 2020.
  ☆16Updated 4 years ago
• moucheng2017 / Med-Noisy-Labels
  [NeurIPS 2020] Disentangling Human Error from the Ground Truth in Segmentation of Medical Images
  ☆71Updated last year
• CharlesKangZhou / P_Net_Anomaly_Detection
  This is the implementation of our paper in ECCV 2020.
  ☆64Updated 3 years ago
• FeliMe / feature-autoencoder
  Anomaly localization using autoencoder models in the feature space of a ResNet
  ☆20Updated last year
• vios-s / DGNet
  Semi-supervised Meta-learning with Disentanglement for Domain-generalised Medical Image Segmentation
  ☆36Updated 3 years ago
• ZerojumpLine / CoLab
  [TMI2023] Context Label Learning: Improving Background Class Representations in Semantic Segmentation.
  ☆19Updated 11 months 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
• LWHYC / OneShot_WeaklySeg
  ☆26Updated 2 years 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
• oyxhust / HAM
  Learning hierarchical attention for weakly-supervised chest X-ray abnormality localization and diagnosis
  ☆28Updated 3 years ago
• jun-sato / AnatPaste
  Anatomy-aware self-supervised learning
  ☆11Updated 6 months ago
• AntanasKascenas / DenoisingAE
  Denoising autoencoders for anomaly detection in medical imaging
  ☆45Updated 2 years ago
• vios-s / vMFNet
  vMFNet: Compositionality Meets Domain-generalised Segmentation
  ☆15Updated 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
• cherise215 / MaxStyle
  [MICCAI 2022] MaxStyle: Adversarial Style Composition for Robust Medical Image Segmentation
  ☆33Updated 2 years ago
• mathilde-b / TTA
  ☆26Updated last year
• lambert-x / medical_mae
  The official implementation of "Delving into Masked Autoencoders for Multi-Label Thorax Disease Classification"
  ☆69Updated 10 months ago
• MediaBrain-SJTU / BE-SSL
  Codes for our paper "Boundary-Enhanced Self-Supervised Learningfor Brain Structure Segmentation"
  ☆23Updated 2 years ago
• FBLADL / NVUM
  Code for "NVUM: Non-volatile Unbiased Memory for Robust Medical Classification" [MICCAI 2022 Early Accept]
  ☆11Updated 2 years ago
• tqxli / self_supervised_learning_in_medical_imaging
  A collection of self-supervised papers in medical imaging.
  ☆39Updated 3 years ago