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On the Composition and Limitations of Publicly Available COVID-19 X-Ray
  Imaging Datasets

On the Composition and Limitations of Publicly Available COVID-19 X-Ray Imaging Datasets

26 August 2020
Beatriz Garcia Santa Cruz
J. Sölter
M. Bossa
A. Husch
    OOD
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Papers citing "On the Composition and Limitations of Publicly Available COVID-19 X-Ray Imaging Datasets"

3 / 3 papers shown
Title
EnD: Entangling and Disentangling deep representations for bias
  correction
EnD: Entangling and Disentangling deep representations for bias correction
Enzo Tartaglione
C. Barbano
Marco Grangetto
26
124
0
02 Mar 2021
Impact of lung segmentation on the diagnosis and explanation of COVID-19
  in chest X-ray images
Impact of lung segmentation on the diagnosis and explanation of COVID-19 in chest X-ray images
Lucas O. Teixeira
R. M. Pereira
Diego Bertolini
Luiz Eduardo Soares de Oliveira
L. Nanni
George D. C. Cavalcanti
Yandre M. G. Costa
13
114
0
21 Sep 2020
Automated Detection and Forecasting of COVID-19 using Deep Learning
  Techniques: A Review
Automated Detection and Forecasting of COVID-19 using Deep Learning Techniques: A Review
A. Shoeibi
Marjane Khodatars
M. Jafari
Navid Ghassemi
Delaram Sadeghi
...
Z. Sani
F. Khozeimeh
S. Nahavandi
U. Acharya
Juan M Gorriz
42
178
0
16 Jul 2020
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