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Anomaly detection through latent space restoration using
  vector-quantized variational autoencoders

Anomaly detection through latent space restoration using vector-quantized variational autoencoders

12 December 2020
Sergio Naval Marimont
G. Tarroni
    DRL
ArXivPDFHTML

Papers citing "Anomaly detection through latent space restoration using vector-quantized variational autoencoders"

10 / 10 papers shown
Title
Unmasking the Chameleons: A Benchmark for Out-of-Distribution Detection
  in Medical Tabular Data
Unmasking the Chameleons: A Benchmark for Out-of-Distribution Detection in Medical Tabular Data
Mohammad Azizmalayeri
Ameen Abu-Hanna
Dirk Kraft
OOD
25
5
0
28 Sep 2023
Attentive VQ-VAE
Attentive VQ-VAE
A. Hoyos
Mariano Rivera
20
0
0
20 Sep 2023
cOOpD: Reformulating COPD classification on chest CT scans as anomaly
  detection using contrastive representations
cOOpD: Reformulating COPD classification on chest CT scans as anomaly detection using contrastive representations
S. D. Almeida
Carsten T. Lüth
T. Norajitra
Tassilo Wald
Marco Nolden
Paul F. Jaeger
C. Heussel
J. Biederer
O. Weinheimer
Klaus Maier-Hein
21
7
0
14 Jul 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
20
0
0
20 May 2023
Cross Attention Transformers for Multi-modal Unsupervised Whole-Body PET
  Anomaly Detection
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
25
11
0
14 Apr 2023
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
18
4
0
12 Oct 2022
nnOOD: A Framework for Benchmarking Self-supervised Anomaly Localisation
  Methods
nnOOD: A Framework for Benchmarking Self-supervised Anomaly Localisation Methods
Matthew Baugh
Jeremy Tan
Athanasios Vlontzos
Johanna P. Müller
Bernhard Kainz
OOD
18
2
0
02 Sep 2022
Diffusion Models for Medical Anomaly Detection
Diffusion Models for Medical Anomaly Detection
J. Wolleb
Florentin Bieder
Robin Sandkühler
Philippe C. Cattin
MedIm
DiffM
39
262
0
08 Mar 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
31
16
0
31 Jan 2022
A Survey on Deep Learning in Medical Image Analysis
A Survey on Deep Learning in Medical Image Analysis
G. Litjens
Thijs Kooi
B. Bejnordi
A. Setio
F. Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
C. I. Sánchez
OOD
295
10,618
0
19 Feb 2017
1