ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1907.02796
  4. Cited By
Unsupervised Anomaly Localization using Variational Auto-Encoders

Unsupervised Anomaly Localization using Variational Auto-Encoders

4 July 2019
David Zimmerer
Fabian Isensee
Jens Petersen
Simon A. A. Kohl
Klaus Maier-Hein
    DRL
ArXivPDFHTML

Papers citing "Unsupervised Anomaly Localization using Variational Auto-Encoders"

50 / 66 papers shown
Title
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 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
MAD-AD: Masked Diffusion for Unsupervised Brain Anomaly Detection
MAD-AD: Masked Diffusion for Unsupervised Brain Anomaly Detection
Farzad Beizaee
Gregory A. Lodygensky
Christian Desrosiers
Jose Dolz
DiffM
MedIm
37
0
0
24 Feb 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
DiffM
MedIm
36
0
0
31 Oct 2024
Selective Test-Time Adaptation for Unsupervised Anomaly Detection using
  Neural Implicit Representations
Selective Test-Time Adaptation for Unsupervised Anomaly Detection using Neural Implicit Representations
Sameer Ambekar
Julia A. Schnabel
Cosmin Bereca
MedIm
OOD
34
0
0
04 Oct 2024
Dual-Modeling Decouple Distillation for Unsupervised Anomaly Detection
Dual-Modeling Decouple Distillation for Unsupervised Anomaly Detection
Xinyue Liu
Jianyuan Wang
Biao Leng
Shuo Zhang
18
6
0
07 Aug 2024
Unsupervised Analysis of Alzheimer's Disease Signatures using 3D
  Deformable Autoencoders
Unsupervised Analysis of Alzheimer's Disease Signatures using 3D Deformable Autoencoders
Mehmet Yigit Avci
Emily Chan
Veronika A. Zimmer
Daniel Rueckert
Benedikt Wiestler
Julia A. Schnabel
Cosmin I. Bercea
MedIm
21
0
0
04 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
13
3
0
04 Jun 2024
Quantum Patch-Based Autoencoder for Anomaly Segmentation
Quantum Patch-Based Autoencoder for Anomaly Segmentation
Maria Francisca Madeira
Alessandro Poggiali
Jeanette Miriam Lorenz
21
0
0
26 Apr 2024
AnoFPDM: Anomaly Segmentation with Forward Process of Diffusion Models for Brain MRI
AnoFPDM: Anomaly Segmentation with Forward Process of Diffusion Models for Brain MRI
Yiming Che
Fazle Rafsani
Jay Shah
M. R. Siddiquee
Teresa Wu
MedIm
DiffM
62
1
0
24 Apr 2024
Blind Localization and Clustering of Anomalies in Textures
Blind Localization and Clustering of Anomalies in Textures
Andrei-Timotei Ardelean
Tim Weyrich
22
2
0
18 Apr 2024
Multi-Image Visual Question Answering for Unsupervised Anomaly Detection
Multi-Image Visual Question Answering for Unsupervised Anomaly Detection
Jun Li
Cosmin I. Bercea
Philipp Muller
Lina Felsner
Suhwan Kim
Daniel Rueckert
Benedikt Wiestler
Julia A. Schnabel
24
3
0
11 Apr 2024
Binary Noise for Binary Tasks: Masked Bernoulli Diffusion for
  Unsupervised Anomaly Detection
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
Diffusion Models with Implicit Guidance for Medical Anomaly Detection
Cosmin I. Bercea
Benedikt Wiestler
Daniel Rueckert
Julia A. Schnabel
DiffM
MedIm
21
7
0
13 Mar 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
11
1
0
19 Jan 2024
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
DiffM
MedIm
14
10
0
07 Dec 2023
How Low Can You Go? Surfacing Prototypical In-Distribution Samples for
  Unsupervised Anomaly Detection
How Low Can You Go? Surfacing Prototypical In-Distribution Samples for Unsupervised Anomaly Detection
Felix Meissen
Johannes Getzner
Alexander Ziller
Georgios Kaissis
Daniel Rueckert
OODD
AI4TS
19
0
0
06 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
25
18
0
19 Nov 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
DiffM
MedIm
19
9
0
30 Aug 2023
Bias in Unsupervised Anomaly Detection in Brain MRI
Bias in Unsupervised Anomaly Detection in Brain MRI
Cosmin I. Bercea
Esther Puyol-Antón
Benedikt Wiestler
Daniel Rueckert
J. Schnabel
A. King
OOD
11
3
0
26 Aug 2023
REB: Reducing Biases in Representation for Industrial Anomaly Detection
REB: Reducing Biases in Representation for Industrial Anomaly Detection
Shuai Lyu
Dongmei Mo
W. Wong
21
12
0
24 Aug 2023
MIM-OOD: Generative Masked Image Modelling for Out-of-Distribution
  Detection in Medical Images
MIM-OOD: Generative Masked Image Modelling for Out-of-Distribution Detection in Medical Images
Sergio Naval Marimont
Vasilis Siomos
G. Tarroni
24
1
0
27 Jul 2023
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
Cosmin I. Bercea
Michaela Neumayr
Daniel Rueckert
J. Schnabel
DiffM
MedIm
17
34
0
31 May 2023
AutoPaint: A Self-Inpainting Method for Unsupervised Anomaly Detection
AutoPaint: A Self-Inpainting Method for Unsupervised Anomaly Detection
M. Astaraki
F. Benetti
Yousef Yeganeh
I. Toma-Dasu
Orjan Smedby
Chunliang Wang
Nassir Navab
T. Wendler
8
6
0
21 May 2023
Technical outlier detection via convolutional variational autoencoder
  for the ADMANI breast mammogram dataset
Technical outlier detection via convolutional variational autoencoder for the ADMANI breast mammogram dataset
Hui Li
C. Peña-Solórzano
Susan Wei
Davis J. McCarthy
18
0
0
20 May 2023
Unsupervised out-of-distribution detection for safer robotically guided
  retinal microsurgery
Unsupervised out-of-distribution detection for safer robotically guided retinal microsurgery
Alain Jungo
Lars Doorenbos
Tommaso Da Col
Maarten J. Beelen
M. Zinkernagel
Pablo Márquez-Neila
Raphael Sznitman
OODD
17
3
0
11 Apr 2023
Reversing the Abnormal: Pseudo-Healthy Generative Networks for Anomaly
  Detection
Reversing the Abnormal: Pseudo-Healthy Generative Networks for Anomaly Detection
Cosmin I. Bercea
Benedikt Wiestler
Daniel Rueckert
J. Schnabel
DiffM
MedIm
10
18
0
15 Mar 2023
Unsupervised Pathology Detection: A Deep Dive Into the State of the Art
Unsupervised Pathology Detection: A Deep Dive Into the State of the Art
I. Lagogiannis
Felix Meissen
Georgios Kaissis
Daniel Rueckert
OOD
83
18
0
01 Mar 2023
Towards Meaningful Anomaly Detection: The Effect of Counterfactual
  Explanations on the Investigation of Anomalies in Multivariate Time Series
Towards Meaningful Anomaly Detection: The Effect of Counterfactual Explanations on the Investigation of Anomalies in Multivariate Time Series
Max Schemmer
Joshua Holstein
Niklas Bauer
Niklas Kühl
G. Satzger
20
2
0
07 Feb 2023
The role of noise in denoising models for anomaly detection in medical
  images
The role of noise in denoising models for anomaly detection in medical images
Antanas Kascenas
Pedro Sanchez
Patrick Schrempf
C. Wang
William Clackett
...
K. Goatman
Alexander Weir
N. Pugeault
Sotirios A. Tsaftaris
Alison Q. OÑeil
DiffM
MedIm
17
30
0
19 Jan 2023
CRADL: Contrastive Representations for Unsupervised Anomaly Detection
  and Localization
CRADL: Contrastive Representations for Unsupervised Anomaly Detection and Localization
Carsten T. Lüth
David Zimmerer
Gregor Koehler
Paul F. Jaeger
Fabian Isensee
Jens Petersen
Klaus H. Maier-Hein
UQCV
MedIm
11
4
0
05 Jan 2023
Boosting Automatic COVID-19 Detection Performance with Self-Supervised
  Learning and Batch Knowledge Ensembling
Boosting Automatic COVID-19 Detection Performance with Self-Supervised Learning and Batch Knowledge Ensembling
Guang Li
Ren Togo
Takahiro Ogawa
Miki Haseyama
SSL
25
8
0
19 Dec 2022
Learning shape distributions from large databases of healthy organs:
  applications to zero-shot and few-shot abnormal pancreas detection
Learning shape distributions from large databases of healthy organs: applications to zero-shot and few-shot abnormal pancreas detection
Rebeca Vétil
Clément Abi-Nader
Alexandre Bône
M. Vullierme
Marc-Michel Rohé
Pietro Gori
Isabelle Bloch
14
2
0
21 Oct 2022
Anomaly Detection using Generative Models and Sum-Product Networks in
  Mammography Scans
Anomaly Detection using Generative Models and Sum-Product Networks in Mammography Scans
Marc Dietrichstein
David Major
Martin Trapp
M. Wimmer
Dimitrios Lenis
Philip Winter
Astrid Berg
Theresa Neubauer
Katja Bühler
MedIm
16
4
0
12 Oct 2022
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
20
45
0
09 Oct 2022
Trustworthy clinical AI solutions: a unified review of uncertainty
  quantification in deep learning models for medical image analysis
Trustworthy clinical AI solutions: a unified review of uncertainty quantification in deep learning models for medical image analysis
Benjamin Lambert
Florence Forbes
A. Tucholka
Senan Doyle
Harmonie Dehaene
M. Dojat
24
76
0
05 Oct 2022
Unsupervised Anomaly Localization with Structural Feature-Autoencoders
Unsupervised Anomaly Localization with Structural Feature-Autoencoders
Felix Meissen
Johannes C. Paetzold
Georgios Kaissis
Daniel Rueckert
MedIm
14
15
0
23 Aug 2022
What is Healthy? Generative Counterfactual Diffusion for Lesion
  Localization
What is Healthy? Generative Counterfactual Diffusion for Lesion Localization
Pedro Sanchez
Antanas Kascenas
Xiao Liu
Alison Q. OÑeil
Sotirios A. Tsaftaris
MedIm
DiffM
19
63
0
25 Jul 2022
Transformer based Models for Unsupervised Anomaly Segmentation in Brain
  MR Images
Transformer based Models for Unsupervised Anomaly Segmentation in Brain MR Images
Ahmed Ghorbel
Ahmed Aldahdooh
Shadi Albarqouni
Neuherberg
ViT
MedIm
22
4
0
05 Jul 2022
Self-Supervised Training with Autoencoders for Visual Anomaly Detection
Self-Supervised Training with Autoencoders for Visual Anomaly Detection
Alexander Bauer
Shinichi Nakajima
Klaus-Robert Müller
13
9
0
23 Jun 2022
What do we learn? Debunking the Myth of Unsupervised Outlier Detection
What do we learn? Debunking the Myth of Unsupervised Outlier Detection
Cosmin I. Bercea
Daniel Rueckert
J. Schnabel
OODD
14
5
0
08 Jun 2022
Harmonizing Pathological and Normal Pixels for Pseudo-healthy Synthesis
Harmonizing Pathological and Normal Pixels for Pseudo-healthy Synthesis
Yunlong Zhang
Xin Lin
Yihong Zhuang
LiyanSun
Yue Huang
Xinghao Ding
Guisheng Wang
L. Yang
Yizhou Yu
MedIm
12
6
0
29 Mar 2022
On the Pitfalls of Using the Residual Error as Anomaly Score
On the Pitfalls of Using the Residual Error as Anomaly Score
Felix Meissen
Benedikt Wiestler
Georgios Kaissis
Daniel Rueckert
UQCV
15
11
0
08 Feb 2022
StRegA: Unsupervised Anomaly Detection in Brain MRIs using a Compact
  Context-encoding Variational Autoencoder
StRegA: Unsupervised Anomaly Detection in Brain MRIs using a Compact Context-encoding Variational Autoencoder
S. Chatterjee
Alessandro Sciarra
M. Dünnwald
Pavan Tummala
Shubham Agrawal
Aishwarya Jauhari
Aman Kalra
S. Oeltze-Jafra
Oliver Speck
A. Nürnberger
DRL
23
16
0
31 Jan 2022
Unsupervised Anomaly Detection in 3D Brain MRI using Deep Learning with
  Multi-Task Brain Age Prediction
Unsupervised Anomaly Detection in 3D Brain MRI using Deep Learning with Multi-Task Brain Age Prediction
M. Bengs
F. Behrendt
M. Laves
Julia Kruger
R. Opfer
Alexander Schlaefer
MedIm
10
9
0
31 Jan 2022
AutoSeg -- Steering the Inductive Biases for Automatic Pathology
  Segmentation
AutoSeg -- Steering the Inductive Biases for Automatic Pathology Segmentation
Felix Meissen
Georgios Kaissis
Daniel Rueckert
UQCV
17
3
0
24 Jan 2022
Proxy-bridged Image Reconstruction Network for Anomaly Detection in
  Medical Images
Proxy-bridged Image Reconstruction Network for Anomaly Detection in Medical Images
Kang Zhou
Jing Li
Weixin Luo
Zhengxin Li
Jianlong Yang
H. Fu
Jun Cheng
Jiang-Dong Liu
Shenghua Gao
129
32
0
05 Oct 2021
Natural Synthetic Anomalies for Self-Supervised Anomaly Detection and
  Localization
Natural Synthetic Anomalies for Self-Supervised Anomaly Detection and Localization
Hannah M. Schlüter
Jeremy Tan
Benjamin Hou
Bernhard Kainz
118
128
0
30 Sep 2021
Anomaly Detection in Medical Imaging -- A Mini Review
Anomaly Detection in Medical Imaging -- A Mini Review
M. Tschuchnig
M. Gadermayr
11
78
0
25 Aug 2021
Automated triaging of head MRI examinations using convolutional neural
  networks
Automated triaging of head MRI examinations using convolutional neural networks
D. Wood
S. Kafiabadi
A. A. Busaidi
Emily Guilhem
Antanas Montvila
...
Matthew Townend
Gareth J. Barker
Sebastien Ourselin
James H. Cole
Thomas C Booth
25
5
0
15 Jun 2021
Implicit field learning for unsupervised anomaly detection in medical
  images
Implicit field learning for unsupervised anomaly detection in medical images
Sergio Naval Marimont
G. Tarroni
29
26
0
09 Jun 2021
12
Next