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

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

31 May 2023
Cosmin I. Bercea
Michaela Neumayr
Daniel Rueckert
Julia A. Schnabel
    DiffMMedIm
ArXiv (abs)PDFHTML

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

37 / 37 papers shown
Deep Unsupervised Anomaly Detection in Brain Imaging: Large-Scale Benchmarking and Bias Analysis
Deep Unsupervised Anomaly Detection in Brain Imaging: Large-Scale Benchmarking and Bias Analysis
Alexander Frötscher
Christian F. Baumgartner
T. Wolfers
OOD
234
0
0
01 Dec 2025
ART-ASyn: Anatomy-aware Realistic Texture-based Anomaly Synthesis Framework for Chest X-Rays
ART-ASyn: Anatomy-aware Realistic Texture-based Anomaly Synthesis Framework for Chest X-Rays
Qinyi Cao
Jianan Fan
Weidong Cai
MedIm
222
0
0
29 Nov 2025
Generating healthy counterfactuals with denoising diffusion bridge models
Generating healthy counterfactuals with denoising diffusion bridge models
Ana Lawry Aguila
Peirong Liu
Marina Crespo Aguirre
J. Iglesias
DiffMMedIm
97
0
0
15 Oct 2025
AREPAS: Anomaly Detection in Fine-Grained Anatomy with Reconstruction-Based Semantic Patch-Scoring
AREPAS: Anomaly Detection in Fine-Grained Anatomy with Reconstruction-Based Semantic Patch-Scoring
Branko Mitic
Philipp Seeböck
H. Prosch
Georg Langs
MedIm
107
0
0
16 Sep 2025
CADD: Context aware disease deviations via restoration of brain images using normative conditional diffusion models
CADD: Context aware disease deviations via restoration of brain images using normative conditional diffusion models
Ana Lawry Aguila
Ayodeji Ijishakin
Juan Eugenio Iglesias
T. Takenaga
Y. Nomura
T. Yoshikawa
O. Abe
S. Hanaoka
DiffMMedIm
166
0
0
05 Aug 2025
REFLECT: Rectified Flows for Efficient Brain Anomaly Correction Transport
REFLECT: Rectified Flows for Efficient Brain Anomaly Correction TransportInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2025
Farzad Beizaee
Sina Hajimiri
Ismail Ben Ayed
Gregory A. Lodygensky
Christian Desrosiers
Jose Dolz
MedIm
137
1
0
04 Aug 2025
Anomaly Detection and Generation with Diffusion Models: A Survey
Anomaly Detection and Generation with Diffusion Models: A Survey
Zehua Wang
Jing Liu
Chengfang Li
Rui Xi
W. Li
Liang Cao
Jin Wang
L. Yang
Junsong Yuan
Wei Zhou
DiffMMedIm
242
5
0
11 Jun 2025
Conditional diffusion models for guided anomaly detection in brain images using fluid-driven anomaly randomization
Conditional diffusion models for guided anomaly detection in brain images using fluid-driven anomaly randomization
Ana Lawry Aguila
Peirong Liu
Oula Puonti
Juan Eugenio Iglesias
DiffMMedIm
233
4
0
11 Jun 2025
IterMask3D: Unsupervised Anomaly Detection and Segmentation with Test-Time Iterative Mask Refinement in 3D Brain MR
IterMask3D: Unsupervised Anomaly Detection and Segmentation with Test-Time Iterative Mask Refinement in 3D Brain MRMedical Image Analysis (MedIA), 2025
Ziyun Liang
Xiaoqing Guo
Wentian Xu
Yasin Ibrahim
Natalie Voets
Pieter M Pretorius
J. A. Noble
Konstantinos Kamnitsas
270
0
0
07 Apr 2025
SemiSAM+: Rethinking Semi-Supervised Medical Image Segmentation in the Era of Foundation Models
SemiSAM+: Rethinking Semi-Supervised Medical Image Segmentation in the Era of Foundation Models
Yichi Zhang
Bohao Lv
Le Xue
Wenbo Zhang
Yuchen Liu
Yu Fu
Yuan Cheng
Yuan Qi
VLMMedIm
320
11
0
28 Feb 2025
MAD-AD: Masked Diffusion for Unsupervised Brain Anomaly Detection
MAD-AD: Masked Diffusion for Unsupervised Brain Anomaly DetectionInformation Processing in Medical Imaging (IPMI), 2025
Farzad Beizaee
Gregory A. Lodygensky
Christian Desrosiers
Jose Dolz
DiffMMedIm
715
3
0
24 Feb 2025
A Survey on Diffusion Models for Anomaly Detection
A Survey on Diffusion Models for Anomaly Detection
Qingbin Liu
Zhenchao Ma
Zepu Wang
Zehua Wang
Zehua Wang
Peng Sun
Liang Song
Bo Hu
Peng Sun
Victor C.M. Leung
DiffMMedIm
559
10
0
20 Jan 2025
Denoising Diffusion Models for Anomaly Localization in Medical Images
Denoising Diffusion Models for Anomaly Localization in Medical Images
Cosmin I. Bercea
P. Cattin
Julia A. Schnabel
J. Wolleb
MedImDiffM
357
1
0
31 Oct 2024
MedDiff-FM: A Diffusion-based Foundation Model for Versatile Medical Image Applications
MedDiff-FM: A Diffusion-based Foundation Model for Versatile Medical Image Applications
Yongrui Yu
Yannian Gu
Shanghang Zhang
Xiaofan Zhang
MedIm
620
9
0
20 Oct 2024
MCDDPM: Multichannel Conditional Denoising Diffusion Model for
  Unsupervised Anomaly Detection in Brain MRI
MCDDPM: Multichannel Conditional Denoising Diffusion Model for Unsupervised Anomaly Detection in Brain MRI
Vivek Kumar Trivedi
Bheeshm Sharma
P. Balamurugan
DiffMMedIm
231
1
0
29 Sep 2024
MedEdit: Counterfactual Diffusion-based Image Editing on Brain MRI
MedEdit: Counterfactual Diffusion-based Image Editing on Brain MRI
Malek Ben Alaya
Daniel M. Lang
Benedikt Wiestler
Julia A. Schnabel
Cosmin I. Bercea
MedImDiffM
235
8
0
21 Jul 2024
Deformation-Recovery Diffusion Model (DRDM): Instance Deformation for
  Image Manipulation and Synthesis
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
DiffMMedIm
244
6
0
10 Jul 2024
Feature Attenuation of Defective Representation Can Resolve Incomplete
  Masking on Anomaly Detection
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
189
0
0
05 Jul 2024
IterMask2: Iterative Unsupervised Anomaly Segmentation via Spatial and
  Frequency Masking for Brain Lesions in MRI
IterMask2: Iterative Unsupervised Anomaly Segmentation via Spatial and Frequency Masking for Brain Lesions in MRI
Ziyun Liang
Xiaoqing Guo
J. A. Noble
Konstantinos Kamnitsas
239
8
0
04 Jun 2024
Unsupervised Anomaly Detection via Masked Diffusion Posterior Sampling
Unsupervised Anomaly Detection via Masked Diffusion Posterior Sampling
Di Wu
Shicai Fan
Xue Zhou
Li Yu
Yuzhong Deng
Jianxiao Zou
Baihong Lin
DiffM
264
6
0
27 Apr 2024
Diff-Def: Diffusion-Generated Deformation Fields for Conditional Atlases
Diff-Def: Diffusion-Generated Deformation Fields for Conditional Atlases
Sophie Starck
Vasiliki Sideri-Lampretsa
Bernhard Kainz
Fernando Navarro
Tamara T. Mueller
Daniel Rueckert
MedIm
376
6
0
25 Mar 2024
Binary Noise for Binary Tasks: Masked Bernoulli Diffusion for
  Unsupervised Anomaly Detection
Binary Noise for Binary Tasks: Masked Bernoulli Diffusion for Unsupervised Anomaly DetectionInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2024
J. Wolleb
Florentin Bieder
Paul Friedrich
Peter Zhang
Alicia Durrer
P. Cattin
DiffMMedIm
198
6
0
18 Mar 2024
Diffusion Models with Implicit Guidance for Medical Anomaly Detection
Diffusion Models with Implicit Guidance for Medical Anomaly DetectionInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2024
Cosmin I. Bercea
Benedikt Wiestler
Daniel Rueckert
Julia A. Schnabel
DiffMMedIm
152
28
0
13 Mar 2024
Objective and Interpretable Breast Cosmesis Evaluation with Attention
  Guided Denoising Diffusion Anomaly Detection Model
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
DiffMMedIm
163
0
0
28 Feb 2024
Evaluation of pseudo-healthy image reconstruction for anomaly detection
  with deep generative models: Application to brain FDG PET
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
213
16
0
29 Jan 2024
Towards Universal Unsupervised Anomaly Detection in Medical Imaging
Towards Universal Unsupervised Anomaly Detection in Medical Imaging
Cosmin I. Bercea
Benedikt Wiestler
Daniel Rueckert
Julia A. Schnabel
192
5
0
19 Jan 2024
Probing the Limits and Capabilities of Diffusion Models for the Anatomic
  Editing of Digital Twins
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
255
12
0
30 Dec 2023
Guided Reconstruction with Conditioned Diffusion Models for Unsupervised Anomaly Detection in Brain MRIs
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
DiffMMedIm
339
20
0
07 Dec 2023
Unsupervised Anomaly Detection using Aggregated Normative Diffusion
Unsupervised Anomaly Detection using Aggregated Normative Diffusion
Alexander Frötscher
J. Kapoor
T. Wolfers
Christian F. Baumgartner
DiffMMedIm
211
3
0
04 Dec 2023
A Survey of Emerging Applications of Diffusion Probabilistic Models in
  MRI
A Survey of Emerging Applications of Diffusion Probabilistic Models in MRI
Yuheng Fan
Hanxi Liao
Shiqi Huang
Yimin Luo
Huazhu Fu
Haikun Qi
MedIm
487
31
0
19 Nov 2023
EMIT-Diff: Enhancing Medical Image Segmentation via Text-Guided
  Diffusion Model
EMIT-Diff: Enhancing Medical Image Segmentation via Text-Guided Diffusion Model
Zheyu Zhang
Lanhong Yao
Sijin Yu
Debesh Jha
Elif Keles
Alpay Medetalibeyoglu
Ulas Bagci
MedIm
218
2
0
19 Oct 2023
Excision And Recovery: Visual Defect Obfuscation Based Self-Supervised
  Anomaly Detection Strategy
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
362
4
0
06 Oct 2023
Modality Cycles with Masked Conditional Diffusion for Unsupervised
  Anomaly Segmentation in MRI
Modality Cycles with Masked Conditional Diffusion for Unsupervised Anomaly Segmentation in MRI
Ziyun Liang
Harry Anthony
Felix Wagner
Konstantinos Kamnitsas
DiffMMedIm
245
13
0
30 Aug 2023
Diffusion Models for Counterfactual Generation and Anomaly Detection in
  Brain Images
Diffusion Models for Counterfactual Generation and Anomaly Detection in Brain ImagesIEEE Transactions on Medical Imaging (TMI), 2023
Alessandro Fontanella
Grant Mair
Joanna M. Wardlaw
Emanuele Trucco
Amos Storkey
DiffMMedIm
237
38
0
03 Aug 2023
MedLSAM: Localize and Segment Anything Model for 3D CT Images
MedLSAM: Localize and Segment Anything Model for 3D CT Images
Wenhui Lei
Xu Wei
Xiaofan Zhang
Kang Li
Shaoting Zhang
MedIm
408
3
0
26 Jun 2023
On the Design Fundamentals of Diffusion Models: A Survey
On the Design Fundamentals of Diffusion Models: A SurveyPattern Recognition (Pattern Recogn.), 2023
Ziyi Chang
George Alex Koulieris
Hyung Jin Chang
Hubert P. H. Shum
DiffM
624
79
0
07 Jun 2023
Dual-distribution discrepancy with self-supervised refinement for
  anomaly detection in medical images
Dual-distribution discrepancy with self-supervised refinement for anomaly detection in medical images
Yu Cai
Hao Chen
Xin Yang
Yu Zhou
Kwang-Ting Cheng
356
3
0
09 Oct 2022
1