Development and Validation of a Deep Learning-Based Model Using Computed Tomography Imaging for Predicting Disease Severity of Coronavirus Disease 2019

Overview of attention for article published in Frontiers in Bioengineering and Biotechnology, July 2020

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Summary X Dimensions citations

So far, Dimensions has found 69 publications that cite this research output.

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The most recent citing publications are shown below. View all 69 publications that cite this research output on Dimensions.

Empirical Fusion: Deploying Moment Invariants and Deep Learning in COVID-19 Diagnostics

Book chapter (June 2024)

DeepSeverity: Detection Different Stages of COVID-19 Disease with Combined Convolutional and Bayesian-BiLSTM Models

Preprint in Research Square (June 2024)

Diagnosis of COVID-19 in X-ray Images using Deep Neural Networks

Article in International Research Journal of Multidisciplinary Technovation (May 2024)