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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

29 January 2024
Ravi Hassanaly
Camille Brianceau
Maelys Solal
O. Colliot
Ninon Burgos
    MedIm
ArXivPDFHTML

Papers citing "Evaluation of pseudo-healthy image reconstruction for anomaly detection with deep generative models: Application to brain FDG PET"

8 / 8 papers shown
Title
TauAD: MRI-free Tau Anomaly Detection in PET Imaging via Conditioned
  Diffusion Models
TauAD: MRI-free Tau Anomaly Detection in PET Imaging via Conditioned Diffusion Models
Lujia Zhong
Shuo Huang
Jiaxin Yue
Jianwei Zhang
Zhiwei Deng
Wenhao Chi
Yonggang Shi
MedIm
19
0
0
21 May 2024
Leveraging healthy population variability in deep learning unsupervised
  anomaly detection in brain FDG PET
Leveraging healthy population variability in deep learning unsupervised anomaly detection in brain FDG PET
Maelys Solal
Ravi Hassanaly
Ninon Burgos
27
2
0
20 Nov 2023
Pythae: Unifying Generative Autoencoders in Python -- A Benchmarking Use
  Case
Pythae: Unifying Generative Autoencoders in Python -- A Benchmarking Use Case
Clément Chadebec
Louis J. Vincent
S. Allassonnière
DRL
34
28
0
16 Jun 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
21
16
0
31 Jan 2022
Learn-Morph-Infer: a new way of solving the inverse problem for brain
  tumor modeling
Learn-Morph-Infer: a new way of solving the inverse problem for brain tumor modeling
Ivan Ezhov
Kevin Scibilia
Katharina Franitza
Felix Steinbauer
Suprosanna Shit
...
Diana Waldmannstetter
M. Menten
M. Metz
Benedikt Wiestler
Bjoern H. Menze
44
26
0
07 Nov 2021
Anomaly detection through latent space restoration using
  vector-quantized variational autoencoders
Anomaly detection through latent space restoration using vector-quantized variational autoencoders
Sergio Naval Marimont
G. Tarroni
DRL
120
57
0
12 Dec 2020
MADGAN: unsupervised Medical Anomaly Detection GAN using multiple
  adjacent brain MRI slice reconstruction
MADGAN: unsupervised Medical Anomaly Detection GAN using multiple adjacent brain MRI slice reconstruction
Changhee Han
L. Rundo
K. Murao
T. Noguchi
Yuki Shimahara
Z. '. Milacski
S. Koshino
Evis Sala
Hideki Nakayama
Shinichi Satoh
MedIm
86
159
0
24 Jul 2020
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
278
10,608
0
19 Feb 2017
1