Literature DB >> 32456787

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

Richard K Parrish1, Louis R Pasquale2, Aaron Y Lee3, Robert Folberg4, Michael W Stewart5, Sarah L Duncan Powers6.   

Abstract

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Year:  2020        PMID： 32456787      PMCID： PMC8185635          DOI： 10.1016/j.ajo.2020.03.039

Source DB:  PubMed          Journal:  Am J Ophthalmol        ISSN： 0002-9394            Impact factor:   5.258


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  3 in total

1.  Retinal image recognition for verifying the identity of fattening and replacement lambs.

Authors:  M A Rojas-Olivares; G Caja; S Carné; A A K Salama; N Adell; P Puig
Journal:  J Anim Sci       Date:  2011-02-04       Impact factor: 3.159

2.  Prediction of cardiovascular risk factors from retinal fundus photographs via deep learning.

Authors:  Ryan Poplin; Avinash V Varadarajan; Katy Blumer; Yun Liu; Michael V McConnell; Greg S Corrado; Lily Peng; Dale R Webster
Journal:  Nat Biomed Eng       Date:  2018-02-19       Impact factor: 25.671

3.  Retinal identification based on an Improved Circular Gabor Filter and Scale Invariant Feature Transform.

Authors:  Xianjing Meng; Yilong Yin; Gongping Yang; Xiaoming Xi
Journal:  Sensors (Basel)       Date:  2013-07-18       Impact factor: 3.576
  3 in total

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