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2012.06765
Cited By
Anomaly detection through latent space restoration using vector-quantized variational autoencoders
IEEE International Symposium on Biomedical Imaging (ISBI), 2020
12 December 2020
Jonathan Passerat-Palmbach
G. Tarroni
DRL
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Papers citing
"Anomaly detection through latent space restoration using vector-quantized variational autoencoders"
39 / 39 papers shown
Latent-space metrics for Complex-Valued VAE out-of-distribution detection under radar clutter
Y A Rouzoumka
E Terreaux
C. Morisseau
J. Ovarlez
C. Ren
154
0
0
25 Nov 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
Q-Former Autoencoder: A Modern Framework for Medical Anomaly Detection
Francesco Dalmonte
Emirhan Bayar
Emre Akbas
Mariana-Iuliana Georgescu
ViT
MedIm
361
1
0
24 Jul 2025
Toward Long-Tailed Online Anomaly Detection through Class-Agnostic Concepts
Chiao-An Yang
Kuan-Chuan Peng
Raymond A. Yeh
217
0
0
22 Jul 2025
Scale-Aware Contrastive Reverse Distillation for Unsupervised Medical Anomaly Detection
International Conference on Learning Representations (ICLR), 2025
Chunlei Li
Yilei Shi
Jingliang Hu
Xiao Xiang Zhu
Lichao Mou
MedIm
287
3
0
18 Mar 2025
RGB-Thermal Infrared Fusion for Robust Depth Estimation in Complex Environments
Zelin Meng
Takanori Fukao
MDE
426
9
0
05 Mar 2025
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
VLM
MedIm
357
4
0
28 Feb 2025
Unsupervised Hybrid framework for ANomaly Detection (HAND) -- applied to Screening Mammogram
Zhemin Zhang
Bhavika Patel
Bhavik Patel
Imon Banerjee
221
0
0
17 Sep 2024
Pancreatic Tumor Segmentation as Anomaly Detection in CT Images Using Denoising Diffusion Models
Reza Babaei
Samuel Cheng
Theresa Thai
Shangqing Zhao
MedIm
DiffM
258
5
0
04 Jun 2024
Binary Noise for Binary Tasks: Masked Bernoulli Diffusion for Unsupervised Anomaly Detection
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2024
J. Wolleb
Florentin Bieder
Paul Friedrich
Peter Zhang
Alicia Durrer
P. Cattin
DiffM
MedIm
225
6
0
18 Mar 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
253
17
0
29 Jan 2024
Segment Every Out-of-Distribution Object
Computer Vision and Pattern Recognition (CVPR), 2023
Wenjie Zhao
Jia Li
Xin Dong
Yu Xiang
Yunhui Guo
432
23
0
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
MedIm
270
8
0
26 Nov 2023
Explainable Time Series Anomaly Detection using Masked Latent Generative Modeling
Pattern Recognition (Pattern Recogn.), 2023
Daesoo Lee
Sara Malacarne
Erlend Aune
AI4TS
400
34
0
21 Nov 2023
Histogram- and Diffusion-Based Medical Out-of-Distribution Detection
Evi M. C. Huijben
S. Amirrajab
J. Pluim
MedIm
DiffM
276
3
0
12 Oct 2023
Unmasking the Chameleons: A Benchmark for Out-of-Distribution Detection in Medical Tabular Data
Mohammad Azizmalayeri
Ameen Abu-Hanna
Dirk Kraft
OOD
374
10
0
28 Sep 2023
Attentive VQ-VAE
A. Hoyos
Mariano Rivera
213
0
0
20 Sep 2023
MSFlow: Multi-Scale Flow-based Framework for Unsupervised Anomaly Detection
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
Yixuan Zhou
Xing Xu
Jingkuan Song
Fumin Shen
Hengtao Shen
AI4CE
292
66
0
29 Aug 2023
Burnt area extraction from high-resolution satellite images based on anomaly detection
Oscar David Rafael Narvaez Luces
M. Pham
Q. Poterek
Rémi Braun
190
4
0
25 Aug 2023
MIM-OOD: Generative Masked Image Modelling for Out-of-Distribution Detection in Medical Images
Jonathan Passerat-Palmbach
Vasilis Siomos
G. Tarroni
236
2
0
27 Jul 2023
cOOpD: Reformulating COPD classification on chest CT scans as anomaly detection using contrastive representations
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023
S. D. Almeida
Carsten T. Lüth
T. Norajitra
Tassilo Wald
Marco Nolden
Paul F. Jaeger
C. Heussel
J. Biederer
O. Weinheimer
Klaus Maier-Hein
228
10
0
14 Jul 2023
MedLSAM: Localize and Segment Anything Model for 3D CT Images
Wenhui Lei
Xu Wei
Xiaofan Zhang
Kang Li
Shaoting Zhang
MedIm
584
3
0
26 Jun 2023
Disentanglement via Latent Quantization
Neural Information Processing Systems (NeurIPS), 2023
Kyle Hsu
W. Dorrell
James C. R. Whittington
Jiajun Wu
Chelsea Finn
DRL
502
46
0
28 May 2023
Technical outlier detection via convolutional variational autoencoder for the ADMANI breast mammogram dataset
Hui Li
C. Peña-Solórzano
Susan Wei
Davis J. McCarthy
179
0
0
20 May 2023
Cross Attention Transformers for Multi-modal Unsupervised Whole-Body PET Anomaly Detection
Ashay Patel
Petru-Daniel Tudosiu
W. H. Pinaya
G. Cook
Vicky Goh
Sebastien Ourselin
M. Jorge Cardoso
OOD
ViT
MedIm
210
18
0
14 Apr 2023
Unsupervised Brain Tumor Segmentation with Image-based Prompts
Xinru Zhang
N. Ou
Chenghao Liu
Z. Zhuo
Yao Liu
Chuyang Ye
VLM
243
2
0
04 Apr 2023
Unsupervised Anomaly Detection with Local-Sensitive VQVAE and Global-Sensitive Transformers
International Conference on Information Photonics (ICIP), 2023
Ming-Qiu Wang
Jiawei Li
Zhenyang Li
Chengxiao Luo
Bin Chen
Shudong Xia
Zhi Wang
ViT
DRL
207
6
0
29 Mar 2023
Vector Quantized Time Series Generation with a Bidirectional Prior Model
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Daesoo Lee
Sara Malacarne
Erlend Aune
BDL
360
49
0
08 Mar 2023
CRADL: Contrastive Representations for Unsupervised Anomaly Detection and Localization
Carsten T. Lüth
David Zimmerer
Gregor Koehler
Paul F. Jaeger
Hyunjin Park
Jens Petersen
Klaus H. Maier-Hein
UQCV
MedIm
206
6
0
05 Jan 2023
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
157
4
0
12 Oct 2022
Dual-distribution discrepancy with self-supervised refinement for anomaly detection in medical images
Yu Cai
Hao Chen
Xin Yang
Yu Zhou
Kwang-Ting Cheng
411
8
0
09 Oct 2022
nnOOD: A Framework for Benchmarking Self-supervised Anomaly Localisation Methods
Matthew Baugh
Jeremy Tan
Athanasios Vlontzos
Johanna P. Müller
Bernhard Kainz
OOD
241
3
0
02 Sep 2022
Dual-Distribution Discrepancy for Anomaly Detection in Chest X-Rays
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022
Yu Cai
Hao Chen
Xin Yang
Yu Zhou
Wuhan
222
22
0
08 Jun 2022
Diffusion Models for Medical Anomaly Detection
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022
J. Wolleb
Florentin Bieder
Robin Sandkühler
Philippe C. Cattin
MedIm
DiffM
327
387
0
08 Mar 2022
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
268
26
0
31 Jan 2022
Natural Synthetic Anomalies for Self-Supervised Anomaly Detection and Localization
Hannah M. Schlüter
Jeremy Tan
Benjamin Hou
Bernhard Kainz
430
205
0
30 Sep 2021
Detecting Outliers with Poisson Image Interpolation
Jeremy Tan
Benjamin Hou
Thomas Day
J. Simpson
Daniel Rueckert
Bernhard Kainz
MedIm
180
65
0
06 Jul 2021
Implicit field learning for unsupervised anomaly detection in medical images
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021
Jonathan Passerat-Palmbach
G. Tarroni
192
30
0
09 Jun 2021
Detecting Outliers with Foreign Patch Interpolation
Jeremy Tan
Benjamin Hou
James Batten
Huaqi Qiu
Bernhard Kainz
MedIm
298
61
0
09 Nov 2020
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