Alternatives and similar repositories for DenoisingAE:

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

• FinnBehrendt / patched-Diffusion-Models-UAD
  Codebase for Patched Diffusion Models for Unsupervised Anomaly Detection .
  ☆46Updated last month
• hasan1292 / mDDPM
  Unsupervised Anomaly Detection in Medical Images Using Masked Diffusion Model
  ☆88Updated last year
• tianyu0207 / CCD
  Code for 'Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images' [MICCAI 2…
  ☆49Updated 2 years ago
• ZiyunLiang / MMCCD
  ☆24Updated last year
• jusiro / constrained_anomaly_segmentation
  [MedIA'22] Constrained unsupervised anomaly segmentation.
  ☆20Updated 2 years ago
• iolag / UPD_study
  This repository contains code from our comparative study on state of the art unsupervised pathology detection and segmentation methods.
  ☆23Updated last year
• JuliaWolleb / diffusion-anomaly
  Anomaly detection with diffusion models
  ☆133Updated last year
• CharlesKangZhou / awesome-anomaly-detection-in-medical-images
  Awesome anomaly detection in medical images
  ☆87Updated 3 years ago
• JunMa11 / Diffusion-Models-in-MedIA
  A curated list of diffusion models in medical image analysis.
  ☆88Updated 2 years 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 month
• Kent0n-Li / FGDM
  ☆69Updated last year
• Digital-Dermatology / t-loss
  Official code for Robust T-Loss for Medical Image Segmentation (MICCAI 2023)
  ☆49Updated last year
• xmindflow / SSL-contrastive
  [ISBI 2024] Leveraging Unlabeled Data for 3D Medical Image Segmentation through Self-Supervised Contrastive Learning
  ☆25Updated last year
• lyhkevin / MT-Net
  Multi-scale Transformer Network for Cross-Modality MR Image Synthesis (IEEE TMI)
  ☆36Updated last year
• raun1 / ASC-NET
  MICCAI 2021 | Adversarial based selective network for unsupervised anomaly segmentation
  ☆12Updated 2 years ago
• fiy2W / mri_seq2seq
  Synthesis Models for Multi-Sequence MRIs
  ☆33Updated 3 months ago
• boahK / DARL
  Official repository of "Diffusion Adversarial Representation Learning for Self-supervised Vessel Segmentation", ICLR 2023.
  ☆64Updated last year
• YutingHe-list / GVSL
  ☆60Updated last year
• xxxliu95 / DGNet
  Semi-supervised Meta-learning with Disentanglement for Domain-generalised Medical Image Segmentation
  ☆35Updated 3 years ago
• yhygao / universal-medical-image-segmentation
  ☆68Updated 10 months ago
• caiyu6666 / MedIAnomaly
  [MedIA 2025] MedIAnomaly: A comparative study of anomaly detection in medical images
  ☆46Updated 6 months ago
• xmed-lab / FDDM
  MICCAI 2023: Fundus-Enhanced Disease-Aware Distillation Model for Retinal Disease Classification from OCT Images
  ☆28Updated 4 months ago
• alibaba-damo-academy / pixel-lesion-patient-network
  ☆31Updated last year
• himashi92 / Co-BioNet
  [Nature Machine Intelligence Journal] Official pytorch implementation for Uncertainty-Guided Dual-Views for Semi-Supervised Volumetric M…
  ☆74Updated last year
• The-Veeraraghavan-Lab / SMIT
  Self distilled masked transformer based segmentor used in MICCAI 2022 paper by Jiang J, ... Veeraraghavan H et.al
  ☆23Updated 2 years ago
• MIC-DKFZ / mood
  Repository for the Medical Out-of-Distribution Analysis Challenge.
  ☆62Updated 9 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)
  ☆97Updated 2 years ago
• JohnleeHIT / SLEX-Net
  [IEEE-JBHI'2022] Hematoma Expansion Context Guided Intracranial Hemorrhage Segmentation and Uncertainty Estimation(Pytorch)
  ☆29Updated last year
• MIC-DKFZ / vae-anomaly-experiments
  ☆26Updated 5 years ago
• tiangexiang / SQUID
  [CVPR 2023] Deep Feature In-painting for Unsupervised Anomaly Detection in X-ray Images
  ☆100Updated last year