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AutoPaint: A Self-Inpainting Method for Unsupervised Anomaly Detection

AutoPaint: A Self-Inpainting Method for Unsupervised Anomaly Detection

21 May 2023
M. Astaraki
F. Benetti
Yousef Yeganeh
I. Toma-Dasu
Orjan Smedby
Chunliang Wang
Nassir Navab
T. Wendler
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Papers citing "AutoPaint: A Self-Inpainting Method for Unsupervised Anomaly Detection"

5 / 5 papers shown
Title
VISAGE: Video Synthesis using Action Graphs for Surgery
VISAGE: Video Synthesis using Action Graphs for Surgery
Yousef Yeganeh
Rachmadio Lazuardi
Amir Shamseddin
Emine Dari
Yash Thirani
Nassir Navab
Azade Farshad
MedIm
23
1
0
23 Oct 2024
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
38
5
0
29 Jan 2024
SceneGenie: Scene Graph Guided Diffusion Models for Image Synthesis
SceneGenie: Scene Graph Guided Diffusion Models for Image Synthesis
Azade Farshad
Yousef Yeganeh
Yucong Chi
Cheng-nan Shen
Bjorn Ommer
Nassir Navab
DiffM
49
28
0
28 Apr 2023
Image Inpainting for Irregular Holes Using Partial Convolutions
Image Inpainting for Irregular Holes Using Partial Convolutions
Guilin Liu
F. Reda
Kevin J. Shih
Ting-Chun Wang
Andrew Tao
Bryan Catanzaro
142
1,913
0
20 Apr 2018
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
PINN
3DV
306
36,371
0
25 Aug 2016
1