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Disentangling representations of retinal images with generative models

Disentangling representations of retinal images with generative models

29 February 2024
Sarah Muller
Lisa M. Koch
Hendrik P. A. Lensch
Philipp Berens
    MedIm
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Papers citing "Disentangling representations of retinal images with generative models"

6 / 6 papers shown
Title
Enhancing Retinal Vessel Segmentation Generalization via Layout-Aware Generative Modelling
Enhancing Retinal Vessel Segmentation Generalization via Layout-Aware Generative Modelling
Jonathan Fhima
Jan Van Eijgen
Lennert Beeckmans
Thomas Jacobs
Moti Freiman
Luis Filipe Nakayama
Ingeborg Stalmans
Chaim Baskin
Joachim A. Behar
MedIm
57
0
0
03 Mar 2025
Benchmarking Dependence Measures to Prevent Shortcut Learning in Medical
  Imaging
Benchmarking Dependence Measures to Prevent Shortcut Learning in Medical Imaging
Sarah Muller
Louisa Fay
Lisa M. Koch
S. Gatidis
Thomas Kustner
Philipp Berens
CML
OOD
16
0
0
26 Jul 2024
Semi-Supervised StyleGAN for Disentanglement Learning
Semi-Supervised StyleGAN for Disentanglement Learning
Weili Nie
Tero Karras
Animesh Garg
Shoubhik Debhath
Anjul Patney
Ankit B. Patel
Anima Anandkumar
DRL
84
72
0
06 Mar 2020
Conditional Image Synthesis With Auxiliary Classifier GANs
Conditional Image Synthesis With Auxiliary Classifier GANs
Augustus Odena
C. Olah
Jonathon Shlens
GAN
224
3,183
0
30 Oct 2016
Domain-Adversarial Training of Neural Networks
Domain-Adversarial Training of Neural Networks
Yaroslav Ganin
E. Ustinova
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
M. Marchand
Victor Lempitsky
GAN
OOD
149
9,300
0
28 May 2015
Measuring and testing dependence by correlation of distances
Measuring and testing dependence by correlation of distances
G. Székely
Maria L. Rizzo
N. K. Bakirov
164
2,567
0
28 Mar 2008
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