Who Could Know Who I Am? The Possibility of Patient Identification With Retinal Imaging

Journal article

Peer reviewed

Richard K Parrish, Louis R Pasquale, Aaron Y Lee, Robert Folberg, Michael W Stewart and Sarah L Duncan Powers

American journal of ophthalmology, Vol.216, pp.A3-A4

2020-08

PMID: 32456787

Metrics

14 Record Views

These are selected metrics from InCites Benchmarking & Analytics tool, related to this output

Collaboration types: Domestic collaboration
Citation topics: 4 Electrical Engineering, Electronics & Computer Science; 4.17 Computer Vision & Graphics; 4.17.1752 Retinal Images
Web Of Science research areas: Ophthalmology
ESI research areas: Clinical Medicine

This output has contributed to the advancement of the following goals:

Source: InCites

Title: Who Could Know Who I Am? The Possibility of Patient Identification With Retinal Imaging
Creators: Richard K Parrish - University of Miami Miller School of Medicine, Department of Ophthalmology, Bascom Palmer Eye Institute, Miami, Florida, USA
Louis R Pasquale - Einhorn Clinical Research Center, New York Eye and Ear Infirmary of Mount Sinai, New York, New York, USA
Aaron Y Lee - University of Washington, Seattle, Washington, USA
Robert Folberg - Michigan State University College of Human Medicine, East Lansing, Michigan, USA
Michael W Stewart - Department of Ophthalmology, Mayo Clinic, Jacksonville, Florida, USA
Sarah L Duncan Powers - American Journal of Ophthalmology, Saint Augustine, Florida, USA
Publication Details: American journal of ophthalmology, Vol.216, pp.A3-A4
Publisher: Elsevier Inc
Academic Unit: Miller School of Medicine; UMMG Department of Ophthalmology
Language: English
Resource Type: Journal article
PMID: 32456787
Record Identifier: 991031599114902976