Alternatives and similar repositories for feature-autoencoder:

Users that are interested in feature-autoencoder are comparing it to the libraries listed below

• jusiro / constrained_anomaly_segmentation
  [MedIA'22] Constrained unsupervised anomaly segmentation.
  ☆19Updated last year
• DorisBao / BMAD
  BMAD hold a Creative Commons Attribution-NonCommercial-ShareAlike (CC BY-NC-SA) license
  ☆58Updated 9 months ago
• ci-ber / RA
  Generalizing Unsupervised Anomaly Detection: Towards Unbiased Pathology Screening. #MIDL2023.
  ☆21Updated last year
• FinnBehrendt / patched-Diffusion-Models-UAD
  Codebase for Patched Diffusion Models for Unsupervised Anomaly Detection .
  ☆44Updated 2 months ago
• 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
• tianyu0207 / CCD
  Code for 'Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images' [MICCAI 2…
  ☆49Updated 2 years ago
• ahmedgh970 / brain-anomaly-seg
  Transformer-based Models for Unsupervised Anomaly Segmentation in Brain MR Images
  ☆21Updated 4 months ago
• ci-ber / autoDDPM
  Code for https://arxiv.org/abs/2305.19643
  ☆13Updated 10 months ago
• hasan1292 / mDDPM
  Unsupervised Anomaly Detection in Medical Images Using Masked Diffusion Model
  ☆87Updated last year
• Digital-Dermatology / t-loss
  Official code for Robust T-Loss for Medical Image Segmentation (MICCAI 2023)
  ☆48Updated last year
• MrGiovanni / SimSID
  [IEEE TPAMI] Anomaly Detection in Chest X-ray
  ☆18Updated 6 months ago
• jun-sato / AnatPaste
  Anatomy-aware self-supervised learning
  ☆11Updated 7 months ago
• FBLADL / NVUM
  Code for "NVUM: Non-volatile Unbiased Memory for Robust Medical Classification" [MICCAI 2022 Early Accept]
  ☆11Updated 2 years ago
• AntanasKascenas / DenoisingAE
  Denoising autoencoders for anomaly detection in medical imaging
  ☆45Updated 2 years ago
• matt-baugh / nnOOD
  ☆10Updated 2 years ago
• caiyu6666 / MedIAnomaly
  MedIAnomaly: A comparative study of anomaly detection in medical images
  ☆40Updated 3 months ago
• LarsDoorenbos / ccdm-stochastic-segmentation
  Repository for "Stochastic Segmentation with Conditional Categorical Diffusion Models" (ICCV 2023)
  ☆43Updated last year
• snavalm / lsr_mood_challenge_2020
  Code for the Medical Out of Distribution challenge 2020
  ☆25Updated 4 years ago
• jemtan / FPI
  Code for FPI submission to MOOD 2020
  ☆16Updated 3 years ago
• marksgraham / ddpm-ood
  Official PyTorch code for "Out-of-distribution detection with denoising diffusion models"
  ☆47Updated 7 months ago
• jlianglab / Ark
  ☆21Updated 3 weeks ago
• edshkim98 / LocalDiffusion-Hallucination
  Official code for 'Tackling Structural Hallucination in Image Translation with Local Diffusion' (ECCV'24 Oral)
  ☆16Updated 4 months ago
• VivienLu / UPCoL
  [MICCAI-2023] Official Implementation for "UPCoL: Uncertainty-informed Prototype Consistency Learning for Semi-supervised Medical Image S…
  ☆22Updated 11 months ago
• tianyu0207 / weakly-polyp
  [MICCAI'22] Contrastive Transformer-based Multiple Instance Learning for Weakly Supervised Polyp Frame Detection.
  ☆40Updated last year
• FinnBehrendt / Conditioned-Diffusion-Models-UAD
  Codebase for Conditioned Diffusion Models for Unsupervised Anomaly Detection
  ☆15Updated last week
• FeliMe / brain_sas_baseline
  Official implementation of the paper "Challenging Current Semi-Supervised Anomaly Segmentation Methods for Brain MRI" accepted to the MIC…
  ☆10Updated 3 years ago
• guojiajeremy / EDC
  ☆13Updated last year
• ZiyunLiang / MMCCD
  ☆21Updated last year
• ZhenZHAO / AD-MT
  [ECCV'24] Alternate Diverse Teaching for Semi-supervised Medical Image Segmentation
  ☆28Updated 6 months ago
• Harvard-Ophthalmology-AI-Lab / Harvard-GF
  [IEEE Transactions on Medical Imaging 2024] Harvard Glaucoma Fairness: A Retinal Nerve Disease Dataset for Fairness Learning and Fair Ide…
  ☆19Updated 3 weeks ago