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Infinite Brain MR Images: PGGAN-based Data Augmentation for Tumor
  Detection

Infinite Brain MR Images: PGGAN-based Data Augmentation for Tumor Detection

29 March 2019
Changhee Han
L. Rundo
Ryosuke Araki
Yujiro Furukawa
G. Mauri
Hideki Nakayama
Hideaki Hayashi
    MedIm
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Papers citing "Infinite Brain MR Images: PGGAN-based Data Augmentation for Tumor Detection"

11 / 11 papers shown
Title
Deep Learning Approaches for Data Augmentation in Medical Imaging: A
  Review
Deep Learning Approaches for Data Augmentation in Medical Imaging: A Review
Aghiles Kebaili
J. Lapuyade-Lahorgue
S. Ruan
MedIm
26
143
0
24 Jul 2023
A Survey on Training Challenges in Generative Adversarial Networks for
  Biomedical Image Analysis
A Survey on Training Challenges in Generative Adversarial Networks for Biomedical Image Analysis
Muhammad Muneeb Saad
Ruairi O'Reilly
M. H. Rehmani
MedIm
44
35
0
19 Jan 2022
MADGAN: unsupervised Medical Anomaly Detection GAN using multiple
  adjacent brain MRI slice reconstruction
MADGAN: unsupervised Medical Anomaly Detection GAN using multiple adjacent brain MRI slice reconstruction
Changhee Han
L. Rundo
K. Murao
T. Noguchi
Yuki Shimahara
Z. '. Milacski
S. Koshino
Evis Sala
Hideki Nakayama
Shinichi Satoh
MedIm
98
159
0
24 Jul 2020
GAN Memory with No Forgetting
GAN Memory with No Forgetting
Yulai Cong
Miaoyun Zhao
Jianqiao Li
Sijia Wang
Lawrence Carin
CLL
13
116
0
13 Jun 2020
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
Synthetic Data for Deep Learning
Synthetic Data for Deep Learning
Sergey I. Nikolenko
46
348
0
25 Sep 2019
Synthesizing Diverse Lung Nodules Wherever Massively: 3D
  Multi-Conditional GAN-based CT Image Augmentation for Object Detection
Synthesizing Diverse Lung Nodules Wherever Massively: 3D Multi-Conditional GAN-based CT Image Augmentation for Object Detection
Changhee Han
Yoshiro Kitamura
Akira Kudo
Akimichi Ichinose
L. Rundo
Yujiro Furukawa
Kazuki Umemoto
Yuanzhong Li
Hideki Nakayama
MedIm
24
116
0
12 Jun 2019
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
21
157
0
31 May 2019
Learning More with Less: GAN-based Medical Image Augmentation
Learning More with Less: GAN-based Medical Image Augmentation
Changhee Han
K. Murao
Shiníchi Satoh
Hideki Nakayama
MedIm
GAN
19
28
0
29 Mar 2019
Generating Images Part by Part with Composite Generative Adversarial
  Networks
Generating Images Part by Part with Composite Generative Adversarial Networks
Hanock Kwak
Byoung-Tak Zhang
GAN
76
40
0
19 Jul 2016
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