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StRegA: Unsupervised Anomaly Detection in Brain MRIs using a Compact
  Context-encoding Variational Autoencoder
v1v2v3 (latest)

StRegA: Unsupervised Anomaly Detection in Brain MRIs using a Compact Context-encoding Variational Autoencoder

31 January 2022
S. Chatterjee
Alessandro Sciarra
M. Dünnwald
Pavan Tummala
Shubham Agrawal
Aishwarya Jauhari
Aman Kalra
S. Oeltze-Jafra
Oliver Speck
A. Nürnberger
    DRL
ArXiv (abs)PDFHTMLGithub (13★)

Papers citing "StRegA: Unsupervised Anomaly Detection in Brain MRIs using a Compact Context-encoding Variational Autoencoder"

4 / 4 papers shown
Unsupervised Deep Generative Models for Anomaly Detection in Neuroimaging: A Systematic Scoping Review
Unsupervised Deep Generative Models for Anomaly Detection in Neuroimaging: A Systematic Scoping Review
Youwan Mahé
Elise Bannier
Stéphanie Leplaideur
Elisa Fromont
Francesca Galassi
DiffMMedIm
195
1
0
16 Oct 2025
Evaluation of pseudo-healthy image reconstruction for anomaly detection
  with deep generative models: Application to brain FDG PET
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
257
17
0
29 Jan 2024
PULASki: Learning inter-rater variability using statistical distances to improve probabilistic segmentation
PULASki: Learning inter-rater variability using statistical distances to improve probabilistic segmentation
S. Chatterjee
Franziska Gaidzik
Alessandro Sciarra
Hendrik Mattern
G. Janiga
Oliver Speck
Andreas Nürnberger
S. Pathiraja
351
0
0
25 Dec 2023
Deep Generative Modeling-based Data Augmentation with Demonstration
  using the BFBT Benchmark Void Fraction Datasets
Deep Generative Modeling-based Data Augmentation with Demonstration using the BFBT Benchmark Void Fraction DatasetsNuclear Engineering and Design (Nucl. Eng. Des.), 2023
Farah Alsafadi
Xuehui Wu
211
10
0
19 Aug 2023
1
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