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Context-encoding Variational Autoencoder for Unsupervised Anomaly
  Detection

Context-encoding Variational Autoencoder for Unsupervised Anomaly Detection

14 December 2018
David Zimmerer
Simon A. A. Kohl
Jens Petersen
Fabian Isensee
Klaus H. Maier-Hein
    DRL
ArXivPDFHTML

Papers citing "Context-encoding Variational Autoencoder for Unsupervised Anomaly Detection"

14 / 14 papers shown
Title
Enhancing Anomaly Detection Generalization through Knowledge Exposure:
  The Dual Effects of Augmentation
Enhancing Anomaly Detection Generalization through Knowledge Exposure: The Dual Effects of Augmentation
Mohammad Akhavan Anvari
Rojina Kashefi
Vahid Reza Khazaie
Mohammad Khalooei
Mohammad Sabokrou
37
0
0
15 Jun 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
Unsupervised Anomaly Detection in Medical Images Using Masked Diffusion
  Model
Unsupervised Anomaly Detection in Medical Images Using Masked Diffusion Model
H. Iqbal
Umar Khalid
Jing Hua
C. L. P. Chen
DiffM
MedIm
33
24
0
31 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
Diffusion Models for Medical Image Analysis: A Comprehensive Survey
Diffusion Models for Medical Image Analysis: A Comprehensive Survey
A. Kazerouni
Ehsan Khodapanah Aghdam
Moein Heidari
Reza Azad
Mohsen Fayyaz
I. Hacihaliloglu
Dorit Merhof
DiffM
MedIm
35
354
0
14 Nov 2022
Augment to Detect Anomalies with Continuous Labelling
Augment to Detect Anomalies with Continuous Labelling
Vahid Reza Khazaie
A. Wong
Y. Mohsenzadeh
20
1
0
03 Jul 2022
Anomaly Detection with Adversarially Learned Perturbations of Latent
  Space
Anomaly Detection with Adversarially Learned Perturbations of Latent Space
Vahid Reza Khazaie
A. Wong
John Taylor Jewell
Y. Mohsenzadeh
AAML
23
3
0
03 Jul 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
8
9
0
31 Jan 2022
Pediatric Otoscopy Video Screening with Shift Contrastive Anomaly
  Detection
Pediatric Otoscopy Video Screening with Shift Contrastive Anomaly Detection
Weiyao Wang
Aniruddha Tamhane
Christine Santos
J. Rzasa
James H Clark
Therese L. Canares
Mathias Unberath
27
4
0
25 Oct 2021
Looking at the whole picture: constrained unsupervised anomaly
  segmentation
Looking at the whole picture: constrained unsupervised anomaly segmentation
Julio Silva-Rodríguez
Valery Naranjo
Jose Dolz
16
5
0
01 Sep 2021
OLED: One-Class Learned Encoder-Decoder Network with Adversarial Context
  Masking for Novelty Detection
OLED: One-Class Learned Encoder-Decoder Network with Adversarial Context Masking for Novelty Detection
John Taylor Jewell
Vahid Reza Khazaie
Y. Mohsenzadeh
9
27
0
27 Mar 2021
Self-Supervised Out-of-Distribution Detection in Brain CT Scans
Self-Supervised Out-of-Distribution Detection in Brain CT Scans
Abinav Ravi Venkatakrishnan
S. T. Kim
R. Eisawy
Franz MJ Pfister
Nassir Navab
OOD
11
22
0
10 Nov 2020
Unsupervised anomaly detection for discrete sequence healthcare data
Unsupervised anomaly detection for discrete sequence healthcare data
Victoria Snorovikhina
Alexey Zaytsev
OOD
AI4TS
16
7
0
20 Jul 2020
Deep Learning in Medical Image Registration: A Survey
Deep Learning in Medical Image Registration: A Survey
Grant Haskins
Uwe Krüger
Pingkun Yan
MedIm
24
585
0
05 Mar 2019
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