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Towards generative adversarial networks as a new paradigm for radiology
  education

Towards generative adversarial networks as a new paradigm for radiology education

4 December 2018
S. G. Finlayson
Hyunkwang Lee
I. Kohane
Luke Oakden-Rayner
    GAN
    MedIm
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Papers citing "Towards generative adversarial networks as a new paradigm for radiology education"

5 / 5 papers shown
Title
On Leveraging Pretrained GANs for Generation with Limited Data
On Leveraging Pretrained GANs for Generation with Limited Data
Miaoyun Zhao
Yulai Cong
Lawrence Carin
34
21
0
26 Feb 2020
Bridging the gap between AI and Healthcare sides: towards developing
  clinically relevant AI-powered diagnosis systems
Bridging the gap between AI and Healthcare sides: towards developing clinically relevant AI-powered diagnosis systems
Changhee Han
L. Rundo
K. Murao
T. Nemoto
Hideki Nakayama
MedIm
30
27
0
12 Jan 2020
Combining Noise-to-Image and Image-to-Image GANs: Brain MR Image
  Augmentation for Tumor Detection
Combining Noise-to-Image and Image-to-Image GANs: Brain MR Image Augmentation for Tumor Detection
Changhee Han
L. Rundo
Ryosuke Araki
Yudai Nagano
Yujiro Furukawa
G. Mauri
Hideki Nakayama
Hideaki Hayashi
MedIm
19
157
0
31 May 2019
Artificial Intelligence for Pediatric Ophthalmology
Artificial Intelligence for Pediatric Ophthalmology
J. Reid
Eric Eaton
30
60
0
06 Apr 2019
Generative Adversarial Network in Medical Imaging: A Review
Generative Adversarial Network in Medical Imaging: A Review
Xin Yi
Ekta Walia
P. Babyn
GAN
MedIm
31
1,370
0
19 Sep 2018
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