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Open Access
Peer-reviewed
Research Article
A deep learning-based application for COVID-19 diagnosis on CT: The Imaging COVID-19 AI initiative
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Laurens Topff ,
Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Resources, Validation, Visualization, Writing – original draft, Writing – review & editing
* E-mail: l.topff@nki.nl
Affiliations Department of Radiology, Netherlands Cancer Institute, Amsterdam, The Netherlands, GROW School for Oncology and Reproduction, Maastricht University, Maastricht, The Netherlands
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José Sánchez-García,
Roles Formal analysis, Investigation, Methodology, Software, Validation, Visualization, Writing – original draft
Current address: Universitat de Vàlencia, Vàlencia, Spain
Affiliation Quantitative Imaging Biomarkers in Medicine (Quibim), Valencia, Spain
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Rafael López-González,
Roles Formal analysis, Investigation, Methodology, Software, Validation, Visualization, Writing – original draft
Current address: Universitat de Vàlencia, Vàlencia, Spain
Affiliation Quantitative Imaging Biomarkers in Medicine (Quibim), Valencia, Spain
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Ana Jiménez Pastor,
Roles Formal analysis, Supervision, Validation, Writing – original draft, Writing – review & editing
Affiliation Quantitative Imaging Biomarkers in Medicine (Quibim), Valencia, Spain
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Jacob J. Visser,
Roles Supervision, Writing – review & editing
Affiliation Department of Radiology and Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
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Merel Huisman,
Roles Data curation, Methodology, Writing – review & editing
Affiliation Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, The Netherlands
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Julien Guiot,
Roles Data curation, Resources, Writing – review & editing
Affiliation Department of Pneumology, University Hospital of Liège (CHU Liège), Liège, Belgium
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Regina G. H. Beets-Tan,
Roles Supervision, Writing – review & editing
Affiliations Department of Radiology, Netherlands Cancer Institute, Amsterdam, The Netherlands, GROW School for Oncology and Reproduction, Maastricht University, Maastricht, The Netherlands
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Angel Alberich-Bayarri,
Roles Conceptualization, Methodology, Project administration, Resources, Supervision, Writing – original draft, Writing – review & editing
Affiliation Quantitative Imaging Biomarkers in Medicine (Quibim), Valencia, Spain
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Almudena Fuster-Matanzo,
Roles Formal analysis, Project administration, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing
Affiliation Quantitative Imaging Biomarkers in Medicine (Quibim), Valencia, Spain
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Erik R. Ranschaert,
Roles Conceptualization, Data curation, Investigation, Methodology, Project administration, Supervision, Writing – original draft, Writing – review & editing
Affiliations Department of Radiology, St. Nikolaus Hospital, Eupen, Belgium, Ghent University, Ghent, Belgium
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on behalf of the Imaging COVID-19 AI initiative
¶Membership of the Imaging COVID-19 AI initiative is provided in the Acknowledgments.
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A deep learning-based application for COVID-19 diagnosis on CT: The Imaging COVID-19 AI initiative
- Laurens Topff,
- José Sánchez-García,
- Rafael López-González,
- Ana Jiménez Pastor,
- Jacob J. Visser,
- Merel Huisman,
- Julien Guiot,
- Regina G. H. Beets-Tan,
- Angel Alberich-Bayarri,
- Almudena Fuster-Matanzo
- Published: May 2, 2023
- https://doi.org/10.1371/journal.pone.0285121