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CovidGAN: Data Augmentation Using Auxiliary Classifier GAN for Improved
  Covid-19 Detection

CovidGAN: Data Augmentation Using Auxiliary Classifier GAN for Improved Covid-19 Detection

8 March 2021
Abdul Waheed
Muskan Goyal
Deepak Gupta
Ashish Khanna
F. Al-turjman
P. Pinheiro
    MedIm
ArXivPDFHTML

Papers citing "CovidGAN: Data Augmentation Using Auxiliary Classifier GAN for Improved Covid-19 Detection"

13 / 13 papers shown
Title
AI4COVID-19: AI Enabled Preliminary Diagnosis for COVID-19 from Cough
  Samples via an App
AI4COVID-19: AI Enabled Preliminary Diagnosis for COVID-19 from Cough Samples via an App
A. Imran
Iryna Posokhova
Haneya N. Qureshi
Usama Masood
Sajid Riaz
K. Ali
Charles N. John
MD Iftikhar Hussain
Muhammad Nabeel
58
509
0
02 Apr 2020
High-resolution medical image synthesis using progressively grown
  generative adversarial networks
High-resolution medical image synthesis using progressively grown generative adversarial networks
Andrew Beers
James M. Brown
Ken Chang
J. Peter Campbell
S. Ostmo
Michael F. Chiang
Jayashree Kalpathy-Cramer
GAN
MedIm
20
81
0
08 May 2018
Exploring the Landscape of Spatial Robustness
Exploring the Landscape of Spatial Robustness
Logan Engstrom
Brandon Tran
Dimitris Tsipras
Ludwig Schmidt
Aleksander Madry
AAML
53
361
0
07 Dec 2017
Progressive Growing of GANs for Improved Quality, Stability, and
  Variation
Progressive Growing of GANs for Improved Quality, Stability, and Variation
Tero Karras
Timo Aila
S. Laine
J. Lehtinen
GAN
93
7,318
0
27 Oct 2017
SegAN: Adversarial Network with Multi-scale $L_1$ Loss for Medical Image
  Segmentation
SegAN: Adversarial Network with Multi-scale L1L_1L1​ Loss for Medical Image Segmentation
Yuan Xue
Tao Xu
Han Zhang
L. R. Long
Xiaolei Huang
MedIm
GAN
45
544
0
06 Jun 2017
Convolutional Neural Networks for Medical Image Analysis: Full Training
  or Fine Tuning?
Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?
Nima Tajbakhsh
Jae Y. Shin
S. Gurudu
R. T. Hurst
Christopher B. Kendall
Michael B. Gotway
Jianming Liang
125
2,508
0
02 Jun 2017
Unsupervised Anomaly Detection with Generative Adversarial Networks to
  Guide Marker Discovery
Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery
T. Schlegl
Philipp Seeböck
S. Waldstein
U. Schmidt-Erfurth
Georg Langs
MedIm
GAN
56
2,219
0
17 Mar 2017
A Survey on Deep Learning in Medical Image Analysis
A Survey on Deep Learning in Medical Image Analysis
G. Litjens
Thijs Kooi
B. Bejnordi
A. Setio
F. Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
C. I. Sánchez
OOD
519
10,699
0
19 Feb 2017
Medical Image Synthesis with Context-Aware Generative Adversarial
  Networks
Medical Image Synthesis with Context-Aware Generative Adversarial Networks
Dong Nie
Roger Trullo
Caroline Petitjean
S. Ruan
Dinggang Shen
GAN
MedIm
64
682
0
16 Dec 2016
Conditional Image Synthesis With Auxiliary Classifier GANs
Conditional Image Synthesis With Auxiliary Classifier GANs
Augustus Odena
C. Olah
Jonathon Shlens
GAN
361
3,201
0
30 Oct 2016
Improving Computer-aided Detection using Convolutional Neural Networks
  and Random View Aggregation
Improving Computer-aided Detection using Convolutional Neural Networks and Random View Aggregation
H. Roth
Le Lu
Jiamin Liu
Jianhua Yao
Ari Seff
Kevin M. Cherry
Lauren Kim
Ronald M. Summers
MedIm
62
558
0
12 May 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
491
149,474
0
22 Dec 2014
Conditional Generative Adversarial Nets
Conditional Generative Adversarial Nets
M. Berk Mirza
Simon Osindero
GAN
SyDa
AI4CE
189
10,365
0
06 Nov 2014
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