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Open Access
Peer-reviewed
Research Article
Interpretable machine learning for automated left ventricular scar quantification in hypertrophic cardiomyopathy patients
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Zeinab Navidi ,
Contributed equally to this work with: Zeinab Navidi, Jesse Sun
Roles Conceptualization, Formal analysis, Methodology, Software, Validation, Visualization, Writing – original draft, Writing – review & editing
Affiliations Division of Cardiology, Peter Munk Cardiac Center, Toronto General Hospital, University Health Network, University of Toronto, Toronto, Canada, Department of Computer Science, University of Toronto, Toronto, Canada, Vector Institute, Toronto, Canada
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Jesse Sun ,
Contributed equally to this work with: Zeinab Navidi, Jesse Sun
Roles Conceptualization, Formal analysis, Methodology, Software, Validation, Visualization, Writing – original draft, Writing – review & editing
Affiliation Division of Cardiology, Peter Munk Cardiac Center, Toronto General Hospital, University Health Network, University of Toronto, Toronto, Canada
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Raymond H. Chan,
Roles Conceptualization, Data curation, Formal analysis, Supervision, Writing – review & editing
Affiliation Division of Cardiology, Peter Munk Cardiac Center, Toronto General Hospital, University Health Network, University of Toronto, Toronto, Canada
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Kate Hanneman,
Roles Conceptualization, Supervision, Writing – review & editing
Affiliation Department of Radiology, University Health Network, University of Toronto, Toronto, Canada
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Amna Al-Arnawoot,
Roles Conceptualization, Formal analysis, Supervision, Writing – review & editing
Affiliation Department of Radiology, University Health Network, University of Toronto, Toronto, Canada
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Alif Munim,
Roles Formal analysis, Visualization, Writing – review & editing
Affiliation Vector Institute, Toronto, Canada
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Harry Rakowski,
Roles Conceptualization, Supervision, Writing – review & editing
Affiliation Division of Cardiology, Peter Munk Cardiac Center, Toronto General Hospital, University Health Network, University of Toronto, Toronto, Canada
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Martin S. Maron,
Roles Data curation, Supervision, Writing – review & editing
Affiliation Division of Cardiology, Tufts Medical Center, Boston, United States of America
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Anna Woo,
Roles Conceptualization, Supervision, Writing – review & editing
Affiliation Division of Cardiology, Peter Munk Cardiac Center, Toronto General Hospital, University Health Network, University of Toronto, Toronto, Canada
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Bo Wang ,
Roles Conceptualization, Methodology, Supervision, Writing – review & editing
¶‡ BW and WT also contributed equally to this work.
Affiliations Division of Cardiology, Peter Munk Cardiac Center, Toronto General Hospital, University Health Network, University of Toronto, Toronto, Canada, Department of Computer Science, University of Toronto, Toronto, Canada, Vector Institute, Toronto, Canada, Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Canada
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Wendy Tsang
Roles Conceptualization, Project administration, Resources, Supervision, Validation, Writing – original draft, Writing – review & editing
* E-mail: wendy.tsang@uhn.ca
¶‡ BW and WT also contributed equally to this work.
Affiliation Division of Cardiology, Peter Munk Cardiac Center, Toronto General Hospital, University Health Network, University of Toronto, Toronto, Canada
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Interpretable machine learning for automated left ventricular scar quantification in hypertrophic cardiomyopathy patients
- Zeinab Navidi,
- Jesse Sun,
- Raymond H. Chan,
- Kate Hanneman,
- Amna Al-Arnawoot,
- Alif Munim,
- Harry Rakowski,
- Martin S. Maron,
- Anna Woo,
- Bo Wang
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- Published: January 4, 2023
- https://doi.org/10.1371/journal.pdig.0000159