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DermSynth3D: Synthesis of in-the-wild Annotated Dermatology Images

DermSynth3D: Synthesis of in-the-wild Annotated Dermatology Images

22 May 2023
Ashish Sinha
J. Kawahara
Arezou Pakzad
Kumar Abhishek
Matthieu Ruthven
Enjie Ghorbel
Anis Kacem
Djamila Aouada
Ghassan Hamarneh
    MedIm
    DiffM
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Papers citing "DermSynth3D: Synthesis of in-the-wild Annotated Dermatology Images"

4 / 4 papers shown
Title
SALVE: A 3D Reconstruction Benchmark of Wounds from Consumer-grade
  Videos
SALVE: A 3D Reconstruction Benchmark of Wounds from Consumer-grade Videos
Remi Chierchia
Léo Lebrat
David Ahmedt-Aristizabal
Olivier Salvado
Clinton Fookes
Rodrigo Santa Cruz
30
0
0
29 Jul 2024
Evaluating Deep Neural Networks Trained on Clinical Images in
  Dermatology with the Fitzpatrick 17k Dataset
Evaluating Deep Neural Networks Trained on Clinical Images in Dermatology with the Fitzpatrick 17k Dataset
Matthew Groh
Caleb Harris
L. Soenksen
Felix Lau
Rachel Han
Aerin Kim
A. Koochek
Omar Badri
112
182
0
20 Apr 2021
Image Synthesis with Adversarial Networks: a Comprehensive Survey and
  Case Studies
Image Synthesis with Adversarial Networks: a Comprehensive Survey and Case Studies
Pourya Shamsolmoali
Masoumeh Zareapoor
Eric Granger
Huiyu Zhou
Ruili Wang
M. E. Celebi
Jie Yang
EGVM
41
138
0
26 Dec 2020
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
294
10,354
0
12 Dec 2018
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