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2004.03271
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Autoencoders for Unsupervised Anomaly Segmentation in Brain MR Images: A Comparative Study
7 April 2020
Christoph Baur
Stefan Denner
Benedikt Wiestler
Shadi Albarqouni
Nassir Navab
OOD
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Papers citing
"Autoencoders for Unsupervised Anomaly Segmentation in Brain MR Images: A Comparative Study"
50 / 135 papers shown
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249
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F. Marqués
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124
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17 Oct 2025
Unsupervised Deep Generative Models for Anomaly Detection in Neuroimaging: A Systematic Scoping Review
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Elise Bannier
Stéphanie Leplaideur
Elisa Fromont
Francesca Galassi
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177
1
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16 Oct 2025
Deep generative priors for 3D brain analysis
Ana Lawry Aguila
Dina Zemlyanker
You Cheng
Sudeshna Das
Daniel C. Alexander
Oula Puonti
Annabel Sorby-Adams
W. T. Kimberly
J. Iglesias
DiffM
MedIm
438
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16 Oct 2025
RASALoRE: Region Aware Spatial Attention with Location-based Random Embeddings for Weakly Supervised Anomaly Detection in Brain MRI Scans
Bheeshm Sharma
Karthikeyan Jaganathan
Balamurugan Palaniappan
192
0
0
09 Oct 2025
Diffusion-Based Data Augmentation for Medical Image Segmentation
Maham Nazir
Muhammad Aqeel
Francesco Setti
MedIm
163
3
0
25 Aug 2025
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
DiffM
MedIm
184
1
0
05 Aug 2025
REFLECT: Rectified Flows for Efficient Brain Anomaly Correction Transport
International 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
202
2
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Graph-Convolutional-Beta-VAE for Synthetic Abdominal Aorta Aneurysm Generation
Francesco Fabbri
Martino Andrea Scarpolini
Angelo Iollo
Francesco Viola
Francesco Tudisco
MedIm
248
0
0
16 Jun 2025
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
DiffM
MedIm
290
5
0
11 Jun 2025
GAN-based synthetic FDG PET images from T1 brain MRI can serve to improve performance of deep unsupervised anomaly detection models
Daria Zotova
Nicolas Pinon
Robin Trombetta
R. Bouet
Julien Jung
Carole Lartizien
MedIm
341
3
0
12 May 2025
Anomaly-Driven Approach for Enhanced Prostate Cancer Segmentation
Alessia Hu
Regina Beets-Tan
Lishan Cai
Eduardo Pooch
287
0
0
30 Apr 2025
IterMask3D: Unsupervised Anomaly Detection and Segmentation with Test-Time Iterative Mask Refinement in 3D Brain MR
Medical Image Analysis (MedIA), 2025
Ziyun Liang
Xiaoqing Guo
Wentian Xu
Yasin Ibrahim
Natalie Voets
Pieter M Pretorius
J. A. Noble
Konstantinos Kamnitsas
323
2
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07 Apr 2025
MAD-AD: Masked Diffusion for Unsupervised Brain Anomaly Detection
Information Processing in Medical Imaging (IPMI), 2025
Farzad Beizaee
Gregory A. Lodygensky
Christian Desrosiers
Jose Dolz
DiffM
MedIm
853
5
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24 Feb 2025
Unraveling Normal Anatomy via Fluid-Driven Anomaly Randomization
Computer Vision and Pattern Recognition (CVPR), 2025
Peirong Liu
Ana Lawry Aguila
J. Iglesias
MedIm
258
5
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23 Jan 2025
Spatially Regularized Graph Attention Autoencoder Framework for Detecting Rainfall Extremes
Mihir Agarwal
Progyan Das
Udit Bhatia
266
1
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12 Nov 2024
Weakly supervised deep learning model with size constraint for prostate cancer detection in multiparametric MRI and generalization to unseen domains
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Robin Trombetta
O. Rouvière
Carole Lartizien
OOD
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190
1
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Enhanced Federated Anomaly Detection Through Autoencoders Using Summary Statistics-Based Thresholding
Scientific Reports (Sci Rep), 2024
Sofiane Laridi
Gregory Palmer
Kam-Ming Mark Tam
FedML
175
13
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11 Oct 2024
MCDDPM: Multichannel Conditional Denoising Diffusion Model for Unsupervised Anomaly Detection in Brain MRI
Vivek Kumar Trivedi
Bheeshm Sharma
P. Balamurugan
DiffM
MedIm
289
1
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29 Sep 2024
Analyzing Tumors by Synthesis
Qi Chen
Yuxiang Lai
Xiaoxi Chen
Qixin Hu
Alan Yuille
Zongwei Zhou
296
9
0
09 Sep 2024
Rethinking Medical Anomaly Detection in Brain MRI: An Image Quality Assessment Perspective
Zixuan Pan
Jun Xia
Zheyu Yan
Guoyue Xu
Yifan Qin
Xueyang Li
Yawen Wu
Zhenge Jia
Jianxu Chen
Yiyu Shi
299
1
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15 Aug 2024
Ensembled Cold-Diffusion Restorations for Unsupervised Anomaly Detection
Jonathan Passerat-Palmbach
Vasilis Siomos
Matthew Baugh
Christos Tzelepis
Bernhard Kainz
G. Tarroni
MedIm
222
9
0
09 Jul 2024
Localizing Anomalies via Multiscale Score Matching Analysis
Ahsan Mahmood
Junier Oliva
M. Styner
273
1
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28 Jun 2024
A Study on Unsupervised Anomaly Detection and Defect Localization using Generative Model in Ultrasonic Non-Destructive Testing
Yusaku Ando
Miya Nakajima
Takahiro Saitoh
Tsuyoshi Kato
165
4
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26 May 2024
UnSegGNet: Unsupervised Image Segmentation using Graph Neural Networks
Kovvuri Sai
Bodduluri Saran
A. M. Adityaja
Saurabh J. Shigwan
Nitin Kumar
214
1
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09 May 2024
Discrepancy-based Diffusion Models for Lesion Detection in Brain MRI
Keqiang Fan
Xiaohao Cai
M. Niranjan
MedIm
DiffM
303
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08 May 2024
Self-supervised learning for classifying paranasal anomalies in the maxillary sinus
Debayan Bhattacharya
F. Behrendt
B. Becker
Lennart Maack
Dirk Beyersdorff
...
B. Cheng
D. Eggert
C. Betz
A. Hoffmann
Alexander Schlaefer
SSL
176
1
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29 Apr 2024
Quantum Patch-Based Autoencoder for Anomaly Segmentation
Maria Francisca Madeira
Alessandro Poggiali
Jeanette Miriam Lorenz
262
1
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26 Apr 2024
Diffusion Models with Ensembled Structure-Based Anomaly Scoring for Unsupervised Anomaly Detection
F. Behrendt
Debayan Bhattacharya
Lennart Maack
Julia Kruger
R. Opfer
R. Mieling
Alexander Schlaefer
MedIm
326
6
0
21 Mar 2024
Rethinking Autoencoders for Medical Anomaly Detection from A Theoretical Perspective
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2024
Yu Cai
Hao Chen
Kwang-Ting Cheng
MedIm
344
29
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14 Mar 2024
Exploiting Structural Consistency of Chest Anatomy for Unsupervised Anomaly Detection in Radiography Images
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024
Tiange Xiang
Yixiao Zhang
Yongyi Lu
Yaoyao Liu
Chaoyi Zhang
Weidong Cai
Zongwei Zhou
343
15
0
13 Mar 2024
Approximations to the Fisher Information Metric of Deep Generative Models for Out-Of-Distribution Detection
Sam Dauncey
Chris Holmes
Christopher Williams
Fabian Falck
392
2
0
03 Mar 2024
Reconstruction-Based Anomaly Localization via Knowledge-Informed Self-Training
Cheng Qian
Xiaoxian Lao
Chunguang Li
192
3
0
22 Feb 2024
Statistical Test for Anomaly Detections by Variational Auto-Encoders
Daiki Miwa
Tomohiro Shiraishi
Vo Nguyen Le Duy
Teruyuki Katsuoka
Ichiro Takeuchi
DRL
275
8
0
06 Feb 2024
Double InfoGAN for Contrastive Analysis
Florence Carton
Robin Louiset
Pietro Gori
245
6
0
31 Jan 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
252
17
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29 Jan 2024
ReSynthDetect: A Fundus Anomaly Detection Network with Reconstruction and Synthetic Features
Jingqi Niu
Qinji Yu
Shiwen Dong
Zilong Wang
K. Dang
Xiaowei Ding
MedIm
328
3
0
27 Dec 2023
Adversarial Denoising Diffusion Model for Unsupervised Anomaly Detection
Jongmin Yu
Hyeontaek Oh
Jinhong Yang
DiffM
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166
4
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07 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
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455
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How Low Can You Go? Surfacing Prototypical In-Distribution Samples for Unsupervised Anomaly Detection
Felix Meissen
Johannes Getzner
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183
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Unsupervised Anomaly Detection using Aggregated Normative Diffusion
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J. Kapoor
T. Wolfers
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228
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Segment Every Out-of-Distribution Object
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Jia Li
Xin Dong
Yu Xiang
Yunhui Guo
408
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27 Nov 2023
DISYRE: Diffusion-Inspired SYnthetic REstoration for Unsupervised Anomaly Detection
IEEE International Symposium on Biomedical Imaging (ISBI), 2023
Jonathan Passerat-Palmbach
Matthew Baugh
Vasilis Siomos
Christos Tzelepis
Bernhard Kainz
G. Tarroni
DiffM
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267
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Leveraging healthy population variability in deep learning unsupervised anomaly detection in brain FDG PET
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263
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A Two-Stage Generative Model with CycleGAN and Joint Diffusion for MRI-based Brain Tumor Detection
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Zhuoxu Cui
Guanxu Cheng
Chentao Cao
Xi Xu
Ziwei Liu
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Yanjie Zhu
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177
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(Predictable) Performance Bias in Unsupervised Anomaly Detection
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Felix Meissen
Svenja Breuer
Moritz Knolle
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R. Muller
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Delaram Sadeghi
A. Shoeibi
Hamid Alinejad-Rokny
Amin Beheshti
David López-García
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U. Acharya
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438
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SHARM: Segmented Head Anatomical Reference Models
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E. Rashed
M. Al-Shatouri
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A. Hirata
159
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13 Sep 2023
On the use of Mahalanobis distance for out-of-distribution detection with neural networks for medical imaging
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238
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