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Virtual vs. Reality: External Validation of COVID-19 Classifiers using
  XCAT Phantoms for Chest Computed Tomography

Virtual vs. Reality: External Validation of COVID-19 Classifiers using XCAT Phantoms for Chest Computed Tomography

7 March 2022
F. I. Tushar
E. Abadi
S. Sotoudeh-Paima
Rafael B. Fricks
Maciej A. Mazurowski
W. Paul Segars
Ehsan Samei
J. Lo
ArXiv (abs)PDFHTML

Papers citing "Virtual vs. Reality: External Validation of COVID-19 Classifiers using XCAT Phantoms for Chest Computed Tomography"

8 / 8 papers shown
Title
SYN-LUNGS: Towards Simulating Lung Nodules with Anatomy-Informed Digital Twins for AI Training
SYN-LUNGS: Towards Simulating Lung Nodules with Anatomy-Informed Digital Twins for AI Training
F. I. Tushar
Lavsen Dahal
Cindy McCabe
Fong Chi Ho
Paul Segars
E. Abadi
Kyle J. Lafata
Ehsan Samei
J. Lo
MedImAI4CE
91
1
0
28 Feb 2025
COVID-CT-MD: COVID-19 Computed Tomography (CT) Scan Dataset Applicable
  in Machine Learning and Deep Learning
COVID-CT-MD: COVID-19 Computed Tomography (CT) Scan Dataset Applicable in Machine Learning and Deep Learning
Parnian Afshar
Shahin Heidarian
Nastaran Enshaei
F. Naderkhani
M. Rafiee
A. Oikonomou
Faranak Babaki Fard
K. Samimi
Konstantinos N. Plataniotis
Arash Mohammadi
OOD
47
58
0
28 Sep 2020
COVIDNet-CT: A Tailored Deep Convolutional Neural Network Design for
  Detection of COVID-19 Cases from Chest CT Images
COVIDNet-CT: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest CT Images
Hayden Gunraj
Linda Wang
A. Wong
OOD
40
205
0
08 Sep 2020
iPhantom: a framework for automated creation of individualized
  computational phantoms and its application to CT organ dosimetry
iPhantom: a framework for automated creation of individualized computational phantoms and its application to CT organ dosimetry
Wanyi Fu
Shobhit Sharma
E. Abadi
A. Iliopoulos
Qi Wang
J. Lo
Xiaobai Sun
W. Paul Segars
Ehsan Samei
17
17
0
20 Aug 2020
Common pitfalls and recommendations for using machine learning to detect
  and prognosticate for COVID-19 using chest radiographs and CT scans
Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans
M. Roberts
D. Driggs
Matthew Thorpe
J. Gilbey
Michael Yeung
...
Kang Zhang
S. Stranks
James H. F. Rudd
Evis Sala
Carola-Bibiane Schönlieb
OOD
66
774
0
14 Aug 2020
Classification of Multiple Diseases on Body CT Scans using Weakly
  Supervised Deep Learning
Classification of Multiple Diseases on Body CT Scans using Weakly Supervised Deep Learning
F. I. Tushar
Vincent M. DÁnniballe
Rui Hou
Maciej A. Mazurowski
Wanyi Fu
Ehsan Samei
Geoffrey D. Rubin
J. Lo
OOD
49
19
0
03 Aug 2020
MosMedData: Chest CT Scans With COVID-19 Related Findings Dataset
MosMedData: Chest CT Scans With COVID-19 Related Findings Dataset
Sergey P. Morozov
Anna E. Andreychenko
Nikolay A. Pavlov
A. Vladzymyrskyy
N. Ledikhova
V. Gombolevskiy
I. Blokhin
P. Gelezhe
A. Gonchar
V. Chernina
46
246
0
13 May 2020
COVID-Net: A Tailored Deep Convolutional Neural Network Design for
  Detection of COVID-19 Cases from Chest X-Ray Images
COVID-Net: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest X-Ray Images
Linda Wang
A. Wong
OOD
122
2,505
0
22 Mar 2020
1