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Identification of Diabetic Retinopathy and Ungradable Image Rate with Ultrawide Field Imaging in a National Teleophthalmology Program
Identification of Diabetic Retinopathy and Ungradable Image Rate with Ultrawide Field Imaging in a National Teleophthalmology Program
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Identification of Diabetic Retinopathy and Ungradable Image Rate with Ultrawide Field Imaging in a National Teleophthalmology Program

Silva, Paolo S., MD ; Horton, Mark B., OD, MD ; Clary, Dawn, OD ; Lewis, Drew G., BA ; Sun, Jennifer K., MD, MPH ; Cavallerano, Jerry D., OD, PhD ; Aiello, Lloyd Paul, MD, PhD

Ophthalmology (Rochester, Minn.), 2016-06, Vol.123 (6), p.1360-1367 [Periódico revisado por pares]

United States: Elsevier Inc

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2
Clinical Classification of Age-related Macular Degeneration
Clinical Classification of Age-related Macular Degeneration
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Clinical Classification of Age-related Macular Degeneration

Ferris, Frederick L., MD ; Wilkinson, C.P., MD ; Bird, Alan, MD ; Chakravarthy, Usha, MD ; Chew, Emily, MD ; Csaky, Karl, MD ; Sadda, SriniVas R., MD

Ophthalmology (Rochester, Minn.), 2013-04, Vol.120 (4), p.844-851 [Periódico revisado por pares]

United States: Elsevier Inc

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3
Efficacy of a Deep Learning System for Detecting Glaucomatous Optic Neuropathy Based on Color Fundus Photographs
Efficacy of a Deep Learning System for Detecting Glaucomatous Optic Neuropathy Based on Color Fundus Photographs
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Efficacy of a Deep Learning System for Detecting Glaucomatous Optic Neuropathy Based on Color Fundus Photographs

Li, Zhixi ; He, Yifan ; Keel, Stuart ; Meng, Wei ; Chang, Robert T. ; He, Mingguang

Ophthalmology (Rochester, Minn.), 2018-08, Vol.125 (8), p.1199-1206 [Periódico revisado por pares]

United States: Elsevier Inc

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4
Using a Deep Learning Algorithm and Integrated Gradients Explanation to Assist Grading for Diabetic Retinopathy
Using a Deep Learning Algorithm and Integrated Gradients Explanation to Assist Grading for Diabetic Retinopathy
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Using a Deep Learning Algorithm and Integrated Gradients Explanation to Assist Grading for Diabetic Retinopathy

Sayres, Rory ; Taly, Ankur ; Rahimy, Ehsan ; Blumer, Katy ; Coz, David ; Hammel, Naama ; Krause, Jonathan ; Narayanaswamy, Arunachalam ; Rastegar, Zahra ; Wu, Derek ; Xu, Shawn ; Barb, Scott ; Joseph, Anthony ; Shumski, Michael ; Smith, Jesse ; Sood, Arjun B. ; Corrado, Greg S. ; Peng, Lily ; Webster, Dale R.

Ophthalmology (Rochester, Minn.), 2019-04, Vol.126 (4), p.552-564 [Periódico revisado por pares]

United States: Elsevier Inc

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5
Detection of Progressive Glaucomatous Optic Nerve Damage on Fundus Photographs with Deep Learning
Detection of Progressive Glaucomatous Optic Nerve Damage on Fundus Photographs with Deep Learning
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Detection of Progressive Glaucomatous Optic Nerve Damage on Fundus Photographs with Deep Learning

Medeiros, Felipe A. ; Jammal, Alessandro A. ; Mariottoni, Eduardo B.

Ophthalmology (Rochester, Minn.), 2021-03, Vol.128 (3), p.383-392 [Periódico revisado por pares]

United States: Elsevier Inc

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6
Consensus Definition for Atrophy Associated with Age-Related Macular Degeneration on OCT: Classification of Atrophy Report 3
Consensus Definition for Atrophy Associated with Age-Related Macular Degeneration on OCT: Classification of Atrophy Report 3
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Consensus Definition for Atrophy Associated with Age-Related Macular Degeneration on OCT: Classification of Atrophy Report 3

Sadda, Srinivas R ; Guymer, Robyn ; Holz, Frank G ; Schmitz-Valckenberg, Steffen ; Curcio, Christine A ; Bird, Alan C ; Blodi, Barbara A ; Bottoni, Ferdinando ; Chakravarthy, Usha ; Chew, Emily Y ; Csaky, Karl ; Danis, Ronald P ; Fleckenstein, Monika ; Freund, K Bailey ; Grunwald, Juan ; Hoyng, Carel B ; Jaffe, Glenn J ; Liakopoulos, Sandra ; Monés, Jordi M ; Pauleikhoff, Daniel ; Rosenfeld, Philip J ; Sarraf, David ; Spaide, Richard F ; Tadayoni, Ramin ; Tufail, Adnan ; Wolf, Sebastian ; Staurenghi, Giovanni

Ophthalmology, 2018-04, Vol.125 (4), p.537-548 [Periódico revisado por pares]

United States

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7
DeepSeeNet: A Deep Learning Model for Automated Classification of Patient-based Age-related Macular Degeneration Severity from Color Fundus Photographs
DeepSeeNet: A Deep Learning Model for Automated Classification of Patient-based Age-related Macular Degeneration Severity from Color Fundus Photographs
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DeepSeeNet: A Deep Learning Model for Automated Classification of Patient-based Age-related Macular Degeneration Severity from Color Fundus Photographs

Peng, Yifan ; Dharssi, Shazia ; Chen, Qingyu ; Keenan, Tiarnan D. ; Agrón, Elvira ; Wong, Wai T. ; Chew, Emily Y. ; Lu, Zhiyong

Ophthalmology (Rochester, Minn.), 2019-04, Vol.126 (4), p.565-575 [Periódico revisado por pares]

United States: Elsevier Inc

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8
Predictive Performance of an Updated Polygenic Risk Score for Age-Related Macular Degeneration
Predictive Performance of an Updated Polygenic Risk Score for Age-Related Macular Degeneration
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Predictive Performance of an Updated Polygenic Risk Score for Age-Related Macular Degeneration

Yu, Chenglong ; Robman, Liubov ; He, Weixiong ; Woods, Robyn L. ; Phuong Thao, Le Thi ; Wolfe, Rory ; Phung, James ; Makeyeva, Galina A. ; Hodgson, Lauren A.B. ; McNeil, John J. ; Guymer, Robyn H. ; MacGregor, Stuart ; Lacaze, Paul

Ophthalmology (Rochester, Minn.), 2024-02, Vol.131 (8), p.880-891 [Periódico revisado por pares]

United States: Elsevier Inc

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9
Progression of Geographic Atrophy in Age-related Macular Degeneration: AREDS2 Report Number 16
Progression of Geographic Atrophy in Age-related Macular Degeneration: AREDS2 Report Number 16
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Progression of Geographic Atrophy in Age-related Macular Degeneration: AREDS2 Report Number 16

Keenan, Tiarnan D ; Agrón, Elvira ; Domalpally, Amitha ; Clemons, Traci E ; van Asten, Freekje ; Wong, Wai T ; Danis, Ronald G ; Sadda, SriniVas ; Rosenfeld, Philip J ; Klein, Michael L ; Ratnapriya, Rinki ; Swaroop, Anand ; Ferris, 3rd, Frederick L ; Chew, Emily Y

Ophthalmology (Rochester, Minn.), 2018-12, Vol.125 (12), p.1913-1928 [Periódico revisado por pares]

United States

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10
From Machine to Machine: An OCT-Trained Deep Learning Algorithm for Objective Quantification of Glaucomatous Damage in Fundus Photographs
From Machine to Machine: An OCT-Trained Deep Learning Algorithm for Objective Quantification of Glaucomatous Damage in Fundus Photographs
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From Machine to Machine: An OCT-Trained Deep Learning Algorithm for Objective Quantification of Glaucomatous Damage in Fundus Photographs

Medeiros, Felipe A ; Jammal, Alessandro A ; Thompson, Atalie C

Ophthalmology (Rochester, Minn.), 2019-04, Vol.126 (4), p.513-521 [Periódico revisado por pares]

United States

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