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Open Access
Peer-reviewed
Research Article
Deep learning models for COVID-19 chest x-ray classification: Preventing shortcut learning using feature disentanglement
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Anusua Trivedi ,
Contributed equally to this work with: Anusua Trivedi, Caleb Robinson
Roles Conceptualization, Data curation, Investigation, Methodology, Project administration, Software, Validation, Writing – original draft, Writing – review & editing
Affiliations AI for Good Research Lab, Microsoft, Redmond, WA, United States of America, Flipkart US R&D, Seattle, WA, United States of America
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Caleb Robinson ,
Contributed equally to this work with: Anusua Trivedi, Caleb Robinson
Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Software, Validation, Writing – original draft, Writing – review & editing
Affiliation AI for Good Research Lab, Microsoft, Redmond, WA, United States of America
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Marian Blazes,
Roles Formal analysis, Writing – original draft, Writing – review & editing
Affiliation Department of Ophthalmology, University of Washington, Seattle, WA, United States of America
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Anthony Ortiz,
Roles Formal analysis, Investigation, Methodology, Software, Writing – original draft, Writing – review & editing
Affiliation AI for Good Research Lab, Microsoft, Redmond, WA, United States of America
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Jocelyn Desbiens,
Roles Conceptualization, Data curation, Validation, Writing – review & editing
Affiliation Intelligent Retinal Imaging Systems, Pensacola, FL, United States of America
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Sunil Gupta,
Roles Conceptualization, Writing – review & editing
Affiliation Intelligent Retinal Imaging Systems, Pensacola, FL, United States of America
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Rahul Dodhia,
Roles Conceptualization, Writing – review & editing
Affiliation AI for Good Research Lab, Microsoft, Redmond, WA, United States of America
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Pavan K. Bhatraju,
Roles Conceptualization, Writing – review & editing
Affiliations Department of Medicine and Sepsis Center of Research Excellence, University of Washington (SCORE-UW), Seattle, WA, United States of America, Division of Pulmonary, Critical Care and Sleep Medicine, University of Washington, Seattle, WA, United States of America
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W. Conrad Liles,
Roles Conceptualization, Writing – review & editing
Affiliation Department of Medicine and Sepsis Center of Research Excellence, University of Washington (SCORE-UW), Seattle, WA, United States of America
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Jayashree Kalpathy-Cramer,
Roles Formal analysis, Writing – review & editing
Affiliation Neuroscience, Massachusetts General Hospital, Boston, MA, United States of America
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Aaron Y. Lee ,
Roles Conceptualization, Formal analysis, Investigation, Software, Writing – original draft, Writing – review & editing
* E-mail: leeay@uw.edu (AYL); jlavista@microsoft.com (JMLF)
Affiliation Department of Ophthalmology, University of Washington, Seattle, WA, United States of America
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Juan M. Lavista Ferres
Roles Conceptualization, Data curation, Formal analysis, Project administration, Writing – review & editing
* E-mail: leeay@uw.edu (AYL); jlavista@microsoft.com (JMLF)
Affiliation AI for Good Research Lab, Microsoft, Redmond, WA, United States of America
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Deep learning models for COVID-19 chest x-ray classification: Preventing shortcut learning using feature disentanglement
- Anusua Trivedi,
- Caleb Robinson,
- Marian Blazes,
- Anthony Ortiz,
- Jocelyn Desbiens,
- Sunil Gupta,
- Rahul Dodhia,
- Pavan K. Bhatraju,
- W. Conrad Liles,
- Jayashree Kalpathy-Cramer
- Published: October 6, 2022
- https://doi.org/10.1371/journal.pone.0274098
- See the preprint