Mask, Stitch, and Re-Sample: Enhancing Robustness and Generalizability in Anomaly Detection through Automatic Diffusion Models

31 May 2023

Papers citing "Mask, Stitch, and Re-Sample: Enhancing Robustness and Generalizability in Anomaly Detection through Automatic Diffusion Models"

28 / 28 papers shown

Title
IterMask3D: Unsupervised Anomaly Detection and Segmentation with Test-Time Iterative Mask Refinement in 3D Brain MR Ziyun Liang Xiaoqing Guo Wentian Xu Yasin Ibrahim Natalie Voets Pieter M Pretorius J. A. Noble Konstantinos Kamnitsas 29 0 0 07 Apr 2025
A Survey on Diffusion Models for Anomaly Detection J. Liu Zhenchao Ma Zepu Wang Y. Liu Zehua Wang Peng Sun Liang Song Bo Hu Azzedine Boukerche Victor C.M. Leung DiffM MedIm 41 2 0 20 Jan 2025
Denoising Diffusion Models for Anomaly Localization in Medical Images Cosmin I. Bercea P. Cattin Julia A. Schnabel J. Wolleb DiffM MedIm 36 0 0 31 Oct 2024
MedDiff-FM: A Diffusion-based Foundation Model for Versatile Medical Image Applications Yongrui Yu Yannian Gu S. Zhang Xiaofan Zhang MedIm 38 2 0 20 Oct 2024
MCDDPM: Multichannel Conditional Denoising Diffusion Model for Unsupervised Anomaly Detection in Brain MRI Vivek Kumar Trivedi Bheeshm Sharma P. Balamurugan DiffM MedIm 31 0 0 29 Sep 2024
MedEdit: Counterfactual Diffusion-based Image Editing on Brain MRI Malek Ben Alaya Daniel M. Lang Benedikt Wiestler Julia A. Schnabel Cosmin I. Bercea MedIm DiffM 32 4 0 21 Jul 2024
Deformation-Recovery Diffusion Model (DRDM): Instance Deformation for Image Manipulation and Synthesis Jian-Qing Zheng Yuanhan Mo Yang Sun Jiahua Li Fuping Wu Ziyang Wang Tonia Vincent Bartłomiej W. Papież DiffM MedIm 34 5 0 10 Jul 2024
Feature Attenuation of Defective Representation Can Resolve Incomplete Masking on Anomaly Detection Yeonghyeon Park Sungho Kang Myung Jin Kim Hyeong Seok Kim Juneho Yi AAML 34 0 0 05 Jul 2024
IterMask2: Iterative Unsupervised Anomaly Segmentation via Spatial and Frequency Masking for Brain Lesions in MRI Ziyun Liang Xiaoqing Guo J. A. Noble Konstantinos Kamnitsas 15 3 0 04 Jun 2024
Unsupervised Anomaly Detection via Masked Diffusion Posterior Sampling Di Wu Shicai Fan Xue Zhou Li Yu Yuzhong Deng Jianxiao Zou Baihong Lin DiffM 40 4 0 27 Apr 2024
Diff-Def: Diffusion-Generated Deformation Fields for Conditional Atlases Sophie Starck Vasiliki Sideri-Lampretsa Bernhard Kainz M. Menten Tamara T. Mueller Daniel Rueckert MedIm 35 2 0 25 Mar 2024
Binary Noise for Binary Tasks: Masked Bernoulli Diffusion for Unsupervised Anomaly Detection J. Wolleb Florentin Bieder Paul Friedrich Peter Zhang Alicia Durrer P. Cattin DiffM MedIm 39 3 0 18 Mar 2024
Diffusion Models with Implicit Guidance for Medical Anomaly Detection Cosmin I. Bercea Benedikt Wiestler Daniel Rueckert Julia A. Schnabel DiffM MedIm 23 7 0 13 Mar 2024
Objective and Interpretable Breast Cosmesis Evaluation with Attention Guided Denoising Diffusion Anomaly Detection Model Sang-Il Park Yong Bae Kim J. Chang Seo Hee Choi Hyungjin Chung Ik-jae Lee H. Byun DiffM MedIm 22 0 0 28 Feb 2024
Evaluation of pseudo-healthy image reconstruction for anomaly detection with deep generative models: Application to brain FDG PET Ravi Hassanaly Camille Brianceau Maelys Solal O. Colliot Ninon Burgos MedIm 30 5 0 29 Jan 2024
Towards Universal Unsupervised Anomaly Detection in Medical Imaging Cosmin I. Bercea Benedikt Wiestler Daniel Rueckert Julia A. Schnabel 19 1 0 19 Jan 2024
Probing the Limits and Capabilities of Diffusion Models for the Anatomic Editing of Digital Twins Karim Kadry Shreya Gupta F. R. Nezami E. Edelman MedIm 25 4 0 30 Dec 2023
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 17 10 0 07 Dec 2023
Unsupervised Anomaly Detection using Aggregated Normative Diffusion Alexander Frötscher J. Kapoor T. Wolfers Christian F. Baumgartner DiffM MedIm 19 1 0 04 Dec 2023
A Survey of Emerging Applications of Diffusion Probabilistic Models in MRI Yuheng Fan Hanxi Liao Shiqi Huang Yimin Luo Huazhu Fu Haikun Qi MedIm 29 18 0 19 Nov 2023
EMIT-Diff: Enhancing Medical Image Segmentation via Text-Guided Diffusion Model Zheyu Zhang Lanhong Yao Bin Wang Debesh Jha Elif Keles A. Medetalibeyoğlu Ulas Bagci MedIm 38 10 0 19 Oct 2023
Excision And Recovery: Visual Defect Obfuscation Based Self-Supervised Anomaly Detection Strategy Yeonghyeon Park Sungho Kang Myung Jin Kim Yeonho Lee Hyeong Seok Kim Juneho Yi AAML 18 2 0 06 Oct 2023
Modality Cycles with Masked Conditional Diffusion for Unsupervised Anomaly Segmentation in MRI Ziyun Liang Harry Anthony Felix Wagner Konstantinos Kamnitsas DiffM MedIm 19 9 0 30 Aug 2023
Diffusion Models for Counterfactual Generation and Anomaly Detection in Brain Images Alessandro Fontanella Grant Mair Joanna M. Wardlaw Emanuele Trucco Amos Storkey DiffM MedIm 26 21 0 03 Aug 2023
MedLSAM: Localize and Segment Anything Model for 3D CT Images Wenhui Lei Xu Wei Xiaofan Zhang Kang Li Shaoting Zhang MedIm 26 3 0 26 Jun 2023
On the Design Fundamentals of Diffusion Models: A Survey Ziyi Chang G. Koulieris Hubert P. H. Shum DiffM 29 53 0 07 Jun 2023
Patched Diffusion Models for Unsupervised Anomaly Detection in Brain MRI F. Behrendt Debayan Bhattacharya Julia Kruger R. Opfer Alexander Schlaefer DiffM MedIm 29 40 0 07 Mar 2023
RePaint: Inpainting using Denoising Diffusion Probabilistic Models Andreas Lugmayr Martin Danelljan Andrés Romero F. I. F. Richard Yu Radu Timofte Luc Van Gool DiffM 213 1,354 0 24 Jan 2022