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3DGAUnet: 3D generative adversarial networks with a 3D U-Net based
  generator to achieve the accurate and effective synthesis of clinical tumor
  image data for pancreatic cancer

3DGAUnet: 3D generative adversarial networks with a 3D U-Net based generator to achieve the accurate and effective synthesis of clinical tumor image data for pancreatic cancer

9 November 2023
Yu Shi
Hannah Tang
M. Baine
M. A. Hollingsworth
Huijing Du
Dandan Zheng
Chi Zhang
Hongfeng Yu
    MedIm
ArXivPDFHTML

Papers citing "3DGAUnet: 3D generative adversarial networks with a 3D U-Net based generator to achieve the accurate and effective synthesis of clinical tumor image data for pancreatic cancer"

3 / 3 papers shown
Title
MITS-GAN: Safeguarding Medical Imaging from Tampering with Generative
  Adversarial Networks
MITS-GAN: Safeguarding Medical Imaging from Tampering with Generative Adversarial Networks
Giovanni Pasqualino
Luca Guarnera
A. Ortis
Sebastiano Battiato
MedIm
32
3
0
17 Jan 2024
Conditional Image Synthesis With Auxiliary Classifier GANs
Conditional Image Synthesis With Auxiliary Classifier GANs
Augustus Odena
C. Olah
Jonathon Shlens
GAN
250
3,191
0
30 Oct 2016
Learning a Probabilistic Latent Space of Object Shapes via 3D
  Generative-Adversarial Modeling
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling
Jiajun Wu
Chengkai Zhang
Tianfan Xue
Bill Freeman
J. Tenenbaum
GAN
189
1,941
0
24 Oct 2016
1