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Paper Details

Predicting sex from retinal fundus photographs using automated deep learning.
Sci Rep
57
2021
Author NameAffiliation
Edward KorotNIHR Biomedical Research Center at Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology
Nikolas PontikosNIHR Biomedical Research Center at Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology
Xiaoxuan LiuNIHR Biomedical Research Center at Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology
Xiaoxuan LiuUniversity Hospitals Birmingham NHS Foundation Trust
Xiaoxuan LiuInstitute of Inflammation & Ageing, College of Medical and Dental Sciences, University of Birmingham
Siegfried K WagnerNIHR Biomedical Research Center at Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology
Livia FaesNIHR Biomedical Research Center at Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology
Livia FaesEye Clinic, Cantonal Hospital of Lucerne
Konstantinos BalaskasNIHR Biomedical Research Center at Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology
Alastair K DennistonNIHR Biomedical Research Center at Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology
Alastair K DennistonUniversity Hospitals Birmingham NHS Foundation Trust
Alastair K DennistonInstitute of Inflammation & Ageing, College of Medical and Dental Sciences, University of Birmingham
Alastair K Denniston
Pearse A KeaneNIHR Biomedical Research Center at Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology
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