Recent papers about anomaly detection in medical images. [Github]
For a complete list of anomaly detection in general computer vision, please visit Awesome Industrial Anomaly Detection. [zhihu]
To complement or correct it, please contact me at 1729766533 [at] qq [dot] com or send a pull request .
Last updated: 2024/04/19
Time recording principle: In the event of conflicting timestamps, priority shall be given to the submission time on arXiv. However, if the manuscript undergoes further review and is subsequently published in a journal, the timestamp of the "Available online" status in the journal shall take precedence.
- (2024/04/16) MedIAnomaly: A comparative study of anomaly detection in medical images. [Paper][Code]
- (2024/03/19) Adapting Visual-Language Models for Generalizable Anomaly Detection in Medical Images. [CVPR][Code]
- (2024/01/29) Evaluation of pseudo-healthy image reconstruction for anomaly detection with deep generative models: Application to brain FDG PET. [arxiv]
- (2024/01/13) Diffusion models for out-of-distribution detection in digital pathology. [MIA][code]
- (2024/01/19) MAEDiff: Masked Autoencoder-enhanced Diffusion Models for Unsupervised Anomaly Detection in Brain Images. [arxiv]
- (2024/01/19) Towards Universal Unsupervised Anomaly Detection in Medical Imaging. [MIDL][code][中文]
- (2023/12/07) Anomaly Detection for Medical Images Using Teacher-Student Model with Skip Connections and Multi-scale Anomaly Consistency. [paper][code]
- (2023/12/01) Anomaly detection via gating highway connection for retinal fundus images. [PR][code]
- (2023/11/20) Leveraging healthy population variability in deep learning unsupervised anomaly detection in brain FDG PET. [arxiv]
- (2023/11/03) A Two-Stage Generative Model with CycleGAN and Joint Diffusion for MRI-based Brain Tumor Detection. [arxiv][code]
- (2023/09/16) Latent Transformer Models for out-of-distribution detection. [MIA][[code](https://github.com/marksgraham/ transformer-ood)]
- (2023/08/31) Hierarchical-Instance Contrastive Learning for Minority Detection on Imbalanced Medical Datasets. [TMI]
- (2023/08/30) Modality Cycles with Masked Conditional Diffusion for Unsupervised Anomaly Segmentation in MRI. [MICCAI][code]
- (2023/08/14) Self-supervised pseudo multi-class pre-training for unsupervised anomaly detection and segmentation in medical images. [MIA]
- (2023/03/15) Reversing the Abnormal: Pseudo-Healthy Generative Networks for Anomaly Detection. [MICCAI][code]
- (2023/03/01) Unsupervised Pathology Detection: A Deep Dive Into the State of the Art. [TMI][code]
- (2022/09/16) A Multi-task Network with Weight Decay Skip Connection Training for Anomaly Detection in Retinal Fundus Images. [MICCAI][code]