Diffusion Models for Medical Anomaly Detection

8 March 2022

Robin Sandkühler

Papers citing "Diffusion Models for Medical Anomaly Detection"

28 / 28 papers shown

Title
Anomalies by Synthesis: Anomaly Detection using Generative Diffusion Models for Off-Road Navigation Siddharth Ancha Sunshine Jiang Travis Manderson Laura Brandt Yilun Du Philip R. Osteen Nicholas Roy 234 0 0 28 May 2025
Harnessing EHRs for Diffusion-based Anomaly Detection on Chest X-rays Harim Kim Yuhan Wang Minkyu Ahn Heeyoul Choi Yuyin Zhou Charmgil Hong MedIm 664 0 0 22 May 2025
Causal Disentanglement for Robust Long-tail Medical Image Generation Weizhi Nie Zichun Zhang Weijie Wang Bruno Lepri Anan Liu Nicu Seb DiffM MedIm OOD CML 183 0 0 20 Apr 2025
BrainMRDiff: A Diffusion Model for Anatomically Consistent Brain MRI Synthesis Moinak Bhattacharya Saumya Gupta Annie Singh Chong Chen Gagandeep Singh Prateek Prasanna MedIm 81 0 0 06 Apr 2025
ORAL: Prompting Your Large-Scale LoRAs via Conditional Recurrent Diffusion Rana Muhammad Shahroz Khan Dongwen Tang Pingzhi Li Kai Wang Tianlong Chen AI4CE 446 0 0 31 Mar 2025
Conditional Diffusion Models are Medical Image Classifiers that Provide Explainability and Uncertainty for Free Gian Mario Favero Parham Saremi Emily Kaczmarek Brennan Nichyporuk Tal Arbel DiffM MedIm 101 1 0 06 Feb 2025
Exploring Out-of-distribution Detection for Sparse-view Computed Tomography with Diffusion Models Ezgi Demircan-Tureyen F. Lucka Tristan van Leeuwen DiffM 120 0 0 09 Nov 2024
Mask-guided cross-image attention for zero-shot in-silico histopathologic image generation with a diffusion model Dominik Winter Nicolas Triltsch Marco Rosati Anatoliy Shumilov Ziya Kokaragac ... T. Padel L. S. Monasor Ross Hill Markus Schick N. Brieu DiffM MedIm 87 3 0 16 Jul 2024
AnomalyDINO: Boosting Patch-based Few-shot Anomaly Detection with DINOv2 Simon Damm M. Laszkiewicz Johannes Lederer Asja Fischer 69 7 0 23 May 2024
Diff-Def: Diffusion-Generated Deformation Fields for Conditional Atlases Sophie Starck Vasiliki Sideri-Lampretsa Bernhard Kainz Martin J. Menten Tamara T. Mueller Daniel Rueckert MedIm 90 3 0 25 Mar 2024
Balancing Act: Distribution-Guided Debiasing in Diffusion Models Rishubh Parihar Abhijnya Bhat Abhipsa Basu Saswat Mallick Jogendra Nath Kundu R. V. Babu 92 18 0 28 Feb 2024
Guided Reconstruction with Conditioned Diffusion Models for Unsupervised Anomaly Detection in Brain MRIs F. Behrendt Debayan Bhattacharya R. Mieling Lennart Maack Julia Kruger R. Opfer Alexander Schlaefer DiffM MedIm 69 10 0 07 Dec 2023
Label-Efficient Semantic Segmentation with Diffusion Models Dmitry Baranchuk Ivan Rubachev A. Voynov Valentin Khrulkov Artem Babenko DiffM VLM 270 534 0 06 Dec 2021
Palette: Image-to-Image Diffusion Models Chitwan Saharia William Chan Huiwen Chang Chris A. Lee Jonathan Ho Tim Salimans David J. Fleet Mohammad Norouzi DiffM VLM 471 1,630 0 10 Nov 2021
ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models Jooyoung Choi Sungwon Kim Yonghyun Jeong Youngjune Gwon Sungroh Yoon DiffM 118 717 0 06 Aug 2021
Diffusion Models Beat GANs on Image Synthesis Prafulla Dhariwal Alex Nichol 206 7,818 0 11 May 2021
Inpainting Transformer for Anomaly Detection Jonathan Pirnay K. Chai ViT 149 167 0 28 Apr 2021
UNIT-DDPM: UNpaired Image Translation with Denoising Diffusion Probabilistic Models Hiroshi Sasaki Chris G. Willcocks T. Breckon DiffM 50 163 0 12 Apr 2021
Unsupervised Brain Anomaly Detection and Segmentation with Transformers W. H. Pinaya Petru-Daniel Tudosiu Robert J. Gray G. Rees P. Nachev Sebastien Ourselin M. Jorge Cardoso ViT MedIm 62 61 0 23 Feb 2021
Improved Denoising Diffusion Probabilistic Models Alex Nichol Prafulla Dhariwal DiffM 324 3,675 0 18 Feb 2021
Anomaly detection through latent space restoration using vector-quantized variational autoencoders Sergio Naval Marimont G. Tarroni DRL 142 57 0 12 Dec 2020
Score-Based Generative Modeling through Stochastic Differential Equations Yang Song Jascha Narain Sohl-Dickstein Diederik P. Kingma Abhishek Kumar Stefano Ermon Ben Poole DiffM SyDa 325 6,444 0 26 Nov 2020
Denoising Diffusion Implicit Models Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 247 7,350 0 06 Oct 2020
Assessing the validity of saliency maps for abnormality localization in medical imaging N. Arun N. Gaw Praveer Singh Ken Chang K. Hoebel J. Patel M. Gidwani Jayashree Kalpathy-Cramer 41 22 0 29 May 2020
Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation to Disease Detection and Localization M. R. Siddiquee Zongwei Zhou Nima Tajbakhsh Ruibin Feng Michael B. Gotway Yoshua Bengio Jianming Liang GAN MedIm 47 91 0 16 Aug 2019
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison Jeremy Irvin Pranav Rajpurkar M. Ko Yifan Yu Silviana Ciurea-Ilcus ... D. Larson C. Langlotz Bhavik Patel M. Lungren A. Ng 110 2,591 0 21 Jan 2019
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge Spyridon Bakas M. Reyes Andras Jakab Stefan Bauer Markus Rempfler ... Jayashree Kalpathy-Cramer Keyvan Farahani Christos Davatzikos Koen van Leemput Bjoern Menze 130 1,633 0 05 Nov 2018
Visual Feature Attribution using Wasserstein GANs Christian F. Baumgartner Lisa M. Koch K. Tezcan Jia Xi Ang E. Konukoglu GAN MedIm 72 145 0 24 Nov 2017