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Deploying deep learning models on unseen medical imaging using adversarial domain adaptation
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Aly A. Valliani,
Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Resources, Software, Validation, Visualization, Writing – original draft, Writing – review & editing
Affiliation Department of Neurosurgery, Mount Sinai Health System, New York, NY, United States of America
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Faris F. Gulamali,
Roles Writing – review & editing
Affiliation Department of Neurosurgery, Mount Sinai Health System, New York, NY, United States of America
⨯ - Young Joon Kwon,
- Michael L. Martini,
- Chiatse Wang,
- Douglas Kondziolka,
- Viola J. Chen,
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Weichung Wang,
Roles Conceptualization, Writing – review & editing
Affiliations Data Science Degree Program, National Taiwan University, Taipei, Taiwan, Institute of Applied Mathematical Sciences, National Taiwan University, Taipei, Taiwan
⨯ -
Anthony B. Costa,
Roles Conceptualization, Resources, Software, Writing – review & editing
Affiliation NVIDIA, Santa Clara, CA, United States of America
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Eric K. Oermann
Roles Conceptualization, Formal analysis, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing
* E-mail: eric.oermann@nyulangone.org
Affiliations Department of Neurosurgery, New York University Langone Medical Center, New York, NY, United States of America, Department of Radiology, New York University Langone Medical Center, New York, NY, United States of America
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https://orcid.org/0000-0003-0295-7108
Deploying deep learning models on unseen medical imaging using adversarial domain adaptation
- Aly A. Valliani,
- Faris F. Gulamali,
- Young Joon Kwon,
- Michael L. Martini,
- Chiatse Wang,
- Douglas Kondziolka,
- Viola J. Chen,
- Weichung Wang,
- Anthony B. Costa,
- Eric K. Oermann
- Published: October 14, 2022
- https://doi.org/10.1371/journal.pone.0273262