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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
2022-Apr
** 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
2022
Bibliometric analysis, COVID-19, deep learning, scholarly production

Disinformation detection on social media: An integrated approach.
In Multimedia tools and applications
Rastogi Shubhangi, Bansal Divya
2022-May-12
Covid-19, Disinformation, Ensemble, Fake, Machine learning, Neural network, Satire

Crowd dynamics research in the era of Covid-19 pandemic: Challenges and opportunities.
In Safety science
Haghani Milad
2022-Sep
Covid-19, Crowd dynamics, Evacuation dynamics, Pandemic, Pedestrian dynamics

Simple Regularisation for Uncertainty-Aware Knowledge Distillation
ArXiv Preprint
Martin Ferianc, Miguel Rodrigues
2022-05-19

Explainable Biomarkers for Automated Glomerular and Patient-Level Disease Classification.
In Kidney360
Basso Matthew Nicholas, Barua Moumita, John Rohan, Khademi April
2022-Mar-31
basic science, computational pathology, explainable biomarkers, glomerular and tubulointerstitial diseases, machine learning, membranous nephropathy, minimal change disease, thin-basement membrane nephropathy
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