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Automated COVID-19 Grading With Convolutional Neural Networks in Computed Tomography Scans: A Systematic Comparison.
In IEEE transactions on artificial intelligence
de Vente Coen, Boulogne Luuk H, Venkadesh Kiran Vaidhya, Sital Cheryl, Lessmann Nikolas, Jacobs Colin, Sanchez Clara I, van Ginneken Bram
** CO-RADS, 3-D convolutional neural network (CNN), COVID-19, deep learning, medical imaging**
Contribution of Deep-Learning Techniques Toward Fighting COVID-19: A Bibliometric Analysis of Scholarly Production During 2020.
In IEEE access : practical innovations, open solutions
Chicaiza Janneth, Villota Stephany D, Vinueza-Naranjo Paola G, Rumipamba-Zambrano Ruben
Bibliometric analysis, COVID-19, deep learning, scholarly production
In Multimedia tools and applications
Rastogi Shubhangi, Bansal Divya
Covid-19, Disinformation, Ensemble, Fake, Machine learning, Neural network, Satire
In Safety science
Covid-19, Crowd dynamics, Evacuation dynamics, Pandemic, Pedestrian dynamics
Martin Ferianc, Miguel Rodrigues
Basso Matthew Nicholas, Barua Moumita, John Rohan, Khademi April
basic science, computational pathology, explainable biomarkers, glomerular and tubulointerstitial diseases, machine learning, membranous nephropathy, minimal change disease, thin-basement membrane nephropathy