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A deep learning approach to private data sharing of medical images using conditional generative adversarial networks (GANs)
- Hanxi Sun ,
- Jason Plawinski ,
- Sajanth Subramaniam,
- Amir Jamaludin,
- Timor Kadir,
- Aimee Readie,
- Gregory Ligozio,
- David Ohlssen,
- Mark Baillie ,
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Thibaud Coroller
Contributed equally to this work with: Hanxi Sun, Jason Plawinski, Mark Baillie, Thibaud Coroller
Roles Conceptualization, Data curation, Formal analysis, Writing – original draft
* E-mail: thibaud.coroller@novartis.com
Affiliation Novartis Pharmaceutical Corporation, East Hanover, New Jersey, United States of America
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https://orcid.org/0000-0001-7662-8724
A deep learning approach to private data sharing of medical images using conditional generative adversarial networks (GANs)
- Hanxi Sun,
- Jason Plawinski,
- Sajanth Subramaniam,
- Amir Jamaludin,
- Timor Kadir,
- Aimee Readie,
- Gregory Ligozio,
- David Ohlssen,
- Mark Baillie,
- Thibaud Coroller
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- Published: July 6, 2023
- https://doi.org/10.1371/journal.pone.0280316