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Medical Image Synthesis for Data Augmentation and Anonymization using
  Generative Adversarial Networks

Medical Image Synthesis for Data Augmentation and Anonymization using Generative Adversarial Networks

26 July 2018
Hoo-Chang Shin
Neil A. Tenenholtz
Jameson K. Rogers
C. Schwarz
M. Senjem
J. Gunter
Katherine P. Andriole
Mark H. Michalski
    MedIm
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Papers citing "Medical Image Synthesis for Data Augmentation and Anonymization using Generative Adversarial Networks"

34 / 184 papers shown
Title
Using generative adversarial networks to synthesize artificial financial
  datasets
Using generative adversarial networks to synthesize artificial financial datasets
Dmitry Efimov
Di Xu
Luyang Kong
A. Nefedov
Archana Anandakrishnan
GAN
25
29
0
06 Feb 2020
Breast lesion segmentation in ultrasound images with limited annotated
  data
Breast lesion segmentation in ultrasound images with limited annotated data
Bahareh Behboodi
M. Amiri
Rupert Brooks
H. Rivaz
13
9
0
21 Jan 2020
Artificial Intelligence in Glioma Imaging: Challenges and Advances
Artificial Intelligence in Glioma Imaging: Challenges and Advances
Weina Jin
M. Fatehi
Kumar Abhishek
Mayur Mallya
B. Toyota
Ghassan Hamarneh
31
42
0
28 Nov 2019
Projection-to-Projection Translation for Hybrid X-ray and Magnetic
  Resonance Imaging
Projection-to-Projection Translation for Hybrid X-ray and Magnetic Resonance Imaging
Bernhard Stimpel
Christopher Syben
Tobias Würfl
Katharina Breininger
P. Hoelter
Arnd Dörfler
Andreas Maier
MedIm
25
9
0
19 Nov 2019
Unsupervised Medical Image Segmentation with Adversarial Networks: From
  Edge Diagrams to Segmentation Maps
Unsupervised Medical Image Segmentation with Adversarial Networks: From Edge Diagrams to Segmentation Maps
Umaseh Sivanesan
Luis H. Braga
R. Sonnadara
Kiret Dhindsa
GAN
MedIm
27
12
0
12 Nov 2019
Co-Generation with GANs using AIS based HMC
Co-Generation with GANs using AIS based HMC
Tiantian Fang
A. Schwing
13
2
0
31 Oct 2019
Data Augmentation for Skin Lesion using Self-Attention based Progressive
  Generative Adversarial Network
Data Augmentation for Skin Lesion using Self-Attention based Progressive Generative Adversarial Network
Ibrahim Saad Ali
Mamdouh Farouk Mohamed
Y. B. Mahdy
GAN
MedIm
20
119
0
25 Oct 2019
Deep Semantic Segmentation of Natural and Medical Images: A Review
Deep Semantic Segmentation of Natural and Medical Images: A Review
Saeid Asgari Taghanaki
Kumar Abhishek
Joseph Paul Cohen
Julien Cohen-Adad
Ghassan Hamarneh
SSeg
VLM
45
667
0
16 Oct 2019
Using GANs for Sharing Networked Time Series Data: Challenges, Initial
  Promise, and Open Questions
Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions
Zinan Lin
Alankar Jain
Chen Wang
Giulia Fanti
Vyas Sekar
28
22
0
30 Sep 2019
Transfer Learning from Partial Annotations for Whole Brain Segmentation
Transfer Learning from Partial Annotations for Whole Brain Segmentation
Chengliang Dai
Yuanhan Mo
Elsa D. Angelini
Yike Guo
Wenjia Bai
MedIm
21
18
0
28 Aug 2019
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for
  Medical Image Segmentation
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation
Nima Tajbakhsh
Laura Jeyaseelan
Q. Li
J. Chiang
Zhihao Wu
Xiaowei Ding
33
751
0
27 Aug 2019
Dataset Growth in Medical Image Analysis Research
Dataset Growth in Medical Image Analysis Research
Y. Landau
N. Kiryati
OOD
13
30
0
21 Aug 2019
Generation of 3D Brain MRI Using Auto-Encoding Generative Adversarial
  Networks
Generation of 3D Brain MRI Using Auto-Encoding Generative Adversarial Networks
Gihyun Kwon
Chihye Han
Dae-Shik Kim
GAN
MedIm
29
127
0
07 Aug 2019
A Two Stage GAN for High Resolution Retinal Image Generation and
  Segmentation
A Two Stage GAN for High Resolution Retinal Image Generation and Segmentation
P. Andreini
S. Bonechi
Monica Bianchini
A. Mecocci
F. Scarselli
A. Sodi
GAN
MedIm
29
42
0
29 Jul 2019
Synthetic Epileptic Brain Activities Using Generative Adversarial
  Networks
Synthetic Epileptic Brain Activities Using Generative Adversarial Networks
Damian Pascual
A. Aminifar
David Atienza Alonso
P. Ryvlin
Roger Wattenhofer
GAN
19
11
0
22 Jul 2019
Multi-scale GANs for Memory-efficient Generation of High Resolution
  Medical Images
Multi-scale GANs for Memory-efficient Generation of High Resolution Medical Images
H. Uzunova
J. Ehrhardt
F. Jacob
A. Frydrychowicz
Heinz Handels
MedIm
10
35
0
02 Jul 2019
Diminishing the Effect of Adversarial Perturbations via Refining Feature
  Representation
Diminishing the Effect of Adversarial Perturbations via Refining Feature Representation
Nader Asadi
Amirm. Sarfi
Mehrdad Hosseinzadeh
Sahba Tahsini
M. Eftekhari
AAML
15
2
0
01 Jul 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
G2R Bound: A Generalization Bound for Supervised Learning from
  GAN-Synthetic Data
G2R Bound: A Generalization Bound for Supervised Learning from GAN-Synthetic Data
Fu-Chieh Chang
Hao Wang
Chun-Nan Chou
Edward Y. Chang
GAN
10
1
0
29 May 2019
Invertible generative models for inverse problems: mitigating
  representation error and dataset bias
Invertible generative models for inverse problems: mitigating representation error and dataset bias
Muhammad Asim
Max Daniels
Oscar Leong
Ali Ahmed
Paul Hand
26
146
0
28 May 2019
Ultrasound segmentation using U-Net: learning from simulated data and
  testing on real data
Ultrasound segmentation using U-Net: learning from simulated data and testing on real data
Bahareh Behboodi
H. Rivaz
11
25
0
24 Apr 2019
Learning More with Less: Conditional PGGAN-based Data Augmentation for
  Brain Metastases Detection Using Highly-Rough Annotation on MR Images
Learning More with Less: Conditional PGGAN-based Data Augmentation for Brain Metastases Detection Using Highly-Rough Annotation on MR Images
Changhee Han
K. Murao
T. Noguchi
Yusuke Kawata
F. Uchiyama
L. Rundo
Hideki Nakayama
Shiníchi Satoh
MedIm
10
98
0
26 Feb 2019
Adversarial Augmentation for Enhancing Classification of Mammography
  Images
Adversarial Augmentation for Enhancing Classification of Mammography Images
Lukás Jendele
Ondrej Skopek
Anton S. Becker
E. Konukoglu
MedIm
GAN
20
5
0
20 Feb 2019
Data augmentation for low resource sentiment analysis using generative
  adversarial networks
Data augmentation for low resource sentiment analysis using generative adversarial networks
Rahul Gupta
GAN
36
30
0
18 Feb 2019
Semi-Supervised and Task-Driven Data Augmentation
Semi-Supervised and Task-Driven Data Augmentation
K. Chaitanya
Neerav Karani
Christian F. Baumgartner
O. Donati
Anton S. Becker
E. Konukoglu
MedIm
18
142
0
11 Feb 2019
Generative Image Translation for Data Augmentation of Bone Lesion
  Pathology
Generative Image Translation for Data Augmentation of Bone Lesion Pathology
Anant Gupta
S. Venkatesh
S. Chopra
C. Ledig
GAN
MedIm
13
41
0
06 Feb 2019
Red blood cell image generation for data augmentation using Conditional
  Generative Adversarial Networks
Red blood cell image generation for data augmentation using Conditional Generative Adversarial Networks
Oleksandr Bailo
D. Ham
Y. Shin
GAN
MedIm
19
58
0
18 Jan 2019
Decompose to manipulate: Manipulable Object Synthesis in 3D Medical
  Images with Structured Image Decomposition
Decompose to manipulate: Manipulable Object Synthesis in 3D Medical Images with Structured Image Decomposition
Siqi Liu
Eli Gibson
Sasa Grbic
Zhoubing Xu
A. Setio
J. Yang
Bogdan Georgescu
Dorin Comaniciu
DiffM
MedIm
33
18
0
04 Dec 2018
An overview of deep learning in medical imaging focusing on MRI
An overview of deep learning in medical imaging focusing on MRI
A. Lundervold
A. Lundervold
OOD
17
1,608
0
25 Nov 2018
ProstateGAN: Mitigating Data Bias via Prostate Diffusion Imaging
  Synthesis with Generative Adversarial Networks
ProstateGAN: Mitigating Data Bias via Prostate Diffusion Imaging Synthesis with Generative Adversarial Networks
Xiaodan Hu
A. Chung
Paul Fieguth
Farzad Khalvati
M. Haider
A. Wong
DiffM
GAN
MedIm
6
14
0
14 Nov 2018
An Adversarial Learning Approach to Medical Image Synthesis for Lesion
  Detection
An Adversarial Learning Approach to Medical Image Synthesis for Lesion Detection
Liyan Sun
Jiexiang Wang
Yue Huang
Xinghao Ding
H. Greenspan
John Paisley
GAN
MedIm
15
107
0
25 Oct 2018
A Novel Domain Adaptation Framework for Medical Image Segmentation
A Novel Domain Adaptation Framework for Medical Image Segmentation
A. Gholami
Shashank Subramanian
Varun Shenoy
Naveen Himthani
Xiangyu Yue
Sicheng Zhao
Peter H. Jin
George Biros
Kurt Keutzer
MedIm
32
50
0
11 Oct 2018
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
1,371
0
19 Sep 2018
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