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3D Tomographic Pattern Synthesis for Enhancing the Quantification of
  COVID-19

3D Tomographic Pattern Synthesis for Enhancing the Quantification of COVID-19

5 May 2020
Siqi Liu
Bogdan Georgescu
Zhoubing Xu
Y. Yoo
G. Chabin
S. Chaganti
Sasa Grbic
Sebastian Piat
Brian Teixeira
A. Balachandran
R. Vishwanath
Thomas J. Re
D. Comaniciu
ArXivPDFHTML

Papers citing "3D Tomographic Pattern Synthesis for Enhancing the Quantification of COVID-19"

8 / 8 papers shown
Title
CCS-GAN: COVID-19 CT-scan classification with very few positive training
  images
CCS-GAN: COVID-19 CT-scan classification with very few positive training images
Sumeet Menon
Jayalakshmi Mangalagiri
Joshua Galita
Michael Morris
Babak Saboury
Y. Yesha
Yelena Yesha
Phuong Nguyen
A. Gangopadhyay
David Chapman
MedIm
14
1
0
01 Oct 2021
Deep Neural Networks for COVID-19 Detection and Diagnosis using Images
  and Acoustic-based Techniques: A Recent Review
Deep Neural Networks for COVID-19 Detection and Diagnosis using Images and Acoustic-based Techniques: A Recent Review
Walid Hariri
A. Narin
19
35
0
10 Dec 2020
Federated Semi-Supervised Learning for COVID Region Segmentation in
  Chest CT using Multi-National Data from China, Italy, Japan
Federated Semi-Supervised Learning for COVID Region Segmentation in Chest CT using Multi-National Data from China, Italy, Japan
Dong Yang
Ziyue Xu
Wenqi Li
Andriy Myronenko
H. Roth
...
Hitoshi Mori
K. Tamura
P. An
B. Wood
Daguang Xu
OOD
FedML
14
25
0
23 Nov 2020
Automated detection and quantification of COVID-19 airspace disease on
  chest radiographs: A novel approach achieving radiologist-level performance
  using a CNN trained on digital reconstructed radiographs (DRRs) from CT-based
  ground-truth
Automated detection and quantification of COVID-19 airspace disease on chest radiographs: A novel approach achieving radiologist-level performance using a CNN trained on digital reconstructed radiographs (DRRs) from CT-based ground-truth
E. Barbosa
W. Gefter
Rochelle Yang
Florin-Cristian Ghesu
Siqi Liu
...
A. Balachandran
S. Vogt
Valentin Ziebandt
Steffen Kappler
D. Comaniciu
6
6
0
13 Aug 2020
COVID-19 CT Image Synthesis with a Conditional Generative Adversarial
  Network
COVID-19 CT Image Synthesis with a Conditional Generative Adversarial Network
Yifan Jiang
Han Chen
Murray H. Loew
Hanseok Ko
DiffM
MedIm
34
126
0
29 Jul 2020
Deep learning to estimate the physical proportion of infected region of
  lung for COVID-19 pneumonia with CT image set
Deep learning to estimate the physical proportion of infected region of lung for COVID-19 pneumonia with CT image set
Wei Wu
Yu Shi
Xukun Li
Yukun Zhou
Peng Du
Shuangzhi Lv
T. Liang
J. Sheng
30
6
0
09 Jun 2020
Lung Infection Quantification of COVID-19 in CT Images with Deep
  Learning
Lung Infection Quantification of COVID-19 in CT Images with Deep Learning
F. Shan
Yaozong Gao
Jun Wang
Weiya Shi
N. Shi
Miaofei Han
Zhong Xue
D. Shen
Yuxin Shi
99
574
0
10 Mar 2020
CT-Realistic Lung Nodule Simulation from 3D Conditional Generative
  Adversarial Networks for Robust Lung Segmentation
CT-Realistic Lung Nodule Simulation from 3D Conditional Generative Adversarial Networks for Robust Lung Segmentation
D. Jin
Ziyue Xu
Youbao Tang
Adam P. Harrison
D. Mollura
MedIm
49
185
0
11 Jun 2018
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