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ARVO Annual Meeting Abstract June 2024

Clinical and Biochemical Factors Are Inversely Associated in Diabetic Retinopathy and Age-Related Macular Degeneration

Ward Fickweiler; Tanvi Chokshi; Emer O' Doherty; Surya Jangolla; Nolan Ziemniak; I-Hsien Wu; Cris Martin P. Jacoba; Samet Gulkas; Assel Talaspayeva; Jerry Cavallerano; Lloyd P Aiello; Jennifer K Sun; George L King

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):1292.

ARVO Annual Meeting Abstract June 2023

Performance of Automated Machine Learning for Predicting Diabetic Retinopathy Progression from Ultrawide Field Retinal Images

Paolo S Silva; Cris Martin P. Jacoba; Dean Zhang; Ward Fickweiler; Drew Lewis; Jeremy Leitmeyer; Recivall Salongcay; Katie Curran; Duy Doan; Mohamed Ashraf; Jerry cavallerano; Jennifer K Sun; Tunde Peto; Lloyd P Aiello

Invest. Ophthalmol. Vis. Sci.. 2023; 64(8):1873.

ARVO Annual Meeting Abstract June 2023

Ethnic Diversity of Retinal Images Used to Train Artificial Intelligence Models Improves Diagnostic Accuracy to Detect Diabetic Retinopathy

Cris Martin P. Jacoba; Duy Doan; Dean Zhang; Ward Fickweiler; Catherine Jamison; Ahmed Souka; Monsef Kharboush; Frank Albert; Kaye Locaylocay; Moises Dumapig; Recival Salongcay; Mohamed Ashraf; Jennifer K Sun; Tunde Peto; Lloyd P Aiello; Paolo S Silva

Invest. Ophthalmol. Vis. Sci.. 2023; 64(8):255.

ARVO Annual Meeting Abstract June 2023

Inverse Risk for Progression of Diabetic Retinopathy and Age-Related Macular Degeneration

Ward Fickweiler; Cris Martin P. Jacoba; Surya Jangolla; John Gauthier; Nolan Ziemniak; I-Hsien Wu; Jerry cavallerano; Lloyd P Aiello; Jennifer K Sun; George L King

Invest. Ophthalmol. Vis. Sci.. 2023; 64(8):495.

ARVO Annual Meeting Abstract June 2022

Automated machine learning (AutoML) model for diabetic retinopathy (DR) image classification from ultrawide field (UWF) retinal images

Paolo S Silva; Drew Lewis; Jerry Cavallerano; Mohamed Ashraf; Cris Martin P. Jacoba; Duy Doan; Frank S Wang; Jennifer K Sun; Lloyd P Aiello

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):2095 – F0084.

ARVO Annual Meeting Abstract June 2022

Comparisons of Handheld Retinal Imaging Devices with Ultrawide Field (UWF) and Early Treatment Diabetic Retinopathy Study (ETDRS) Photographs for Determining Diabetic Retinopathy (DR) Severity

Cris Martin P. Jacoba; Lizzie Anne Aquino; Claude Michael Salva; Recivall Salongcay; Jennifer K Sun; Tunde Peto; Lloyd P Aiello; Paolo S Silva

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):4449 – F0128.

ARVO Annual Meeting Abstract June 2022

Accuracy of Integrated Artificial Intelligence (AI) Grading at the Point of Care (POC) Using Handheld Retinal Imaging in a Community-Based Diabetic Retinopathy (DR) Screening Program (DRSP)

Recivall Salongcay; Lizzie Anne Aquino; Claude Michael Salva; Glenn Paulo Alog; Kaye Locaylocay; Aileen Viguilla Saunar; Cris Martin P. Jacoba; Jennifer K Sun; Lloyd P Aiello; Tunde Peto; Paolo S Silva

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):1159.

ARVO Annual Meeting Abstract June 2022

Automated machine learning (AutoML) models for diabetic retinopathy (DR) image classification from handheld retinal images

Duy Doan; Lizzie Anne Aquino; Joseph Paolo Y. Silva; Claude Michael Salva; Cris Martin P. Jacoba; Recivall Salongcay; Glenn Paulo Alog; Kaye Locaylocay; Aileen Viguilla Saunar; Jennifer K Sun; Tunde Peto; Lloyd Paul Aiello; Paolo S Silva

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):2105 – F0094.

Vision Sciences Society Annual Meeting Abstract September 2021

Investigating the Time Course of Face Perception Using Web-based Eye Tracking

Amy vanWell; James Tanaka; Xiaoyi Liu; Jacob Martin

Journal of Vision. 2021; 21(9):2965. https://doi.org/10.1167/jov.21.9.2965

ARVO Annual Meeting Abstract June 2021

Comparison of 1-Field and 2-Field Mydriatic Handheld Retinal Imaging with Early Treatment Diabetic Retinopathy Study (ETDRS) 7-Standard Field Photography for Diabetic Retinopathy (DR) and diabetic macular edema (DME)

Abdulrahman Rageh; Cris Martin Jacoba; Recivall Pascual Salongcay; Lizzie Anne Aquino; Claude Salva; Aileen Viguilla Saunar; Glenn P Alog; Tunde Peto; mohamed Ashraf Elmasry; Jennifer K Sun; Lloyd Paul Aiello; Paolo S Silva

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):1898.

ARVO Annual Meeting Abstract June 2021

Comparisons of Handheld Retinal Imaging Devices with Spectral Domain Optical Coherence Tomography (SDOCT) in the Identification of Macular Pathology

Cris Martin Jacoba; Abdulrahman Rageh; Recivall Salongcay; Lizzie Anne Aquino; Claude Michael Garcia Salva; Jennifer K Sun; Tunde Peto; Lloyd Paul Aiello; Paolo S Silva

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):1907.

ARVO Annual Meeting Abstract June 2021

Modifiable risk factors for diabetic retinopathy (DR) and macular edema (DME) in children with type 1 diabetes (T1D)

Konstantina Sampani; Cris Martin Jacoba; Catherine Gilbert; Joyce Keady; Paolo S Silva; Lori Laffel; Lloyd Paul Aiello; Jennifer K Sun

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):1121.

ARVO Annual Meeting Abstract June 2021

Integrating Macular Optical Coherence Tomography with Ultrawide Field Imaging in a Diabetic Retinopathy Telemedicine Program Using a Single Device

Lloyd Paul Aiello; Cris Martin P. Jacoba; Jennifer K Sun; Paolo S Silva

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):1941.

Genetics October 2020

SVEP1 as a Genetic Modifier of TEK -Related Primary Congenital Glaucoma

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Terri L. Young; Kristina N. Whisenhunt; Jing Jin; Sarah M. LaMartina; Sean M. Martin; Tomokazu Souma; Vachiranee Limviphuvadh; Fatemeh Suri; Emmanuelle Souzeau; Xue Zhang; Yongwook Dan; Evie Anagnos; Susana Carmona; Nicole M. Jody; Nickie Stangel; Emily C. Higuchi; Samuel J. Huang; Owen M. Siggs; Maria José Simões; Brendan M. Lawson; Jacob S. Martin; Elahe Elahi; Mehrnaz Narooie-Nejad; Behzad Fallahi Motlagh; Susan E. Quaggin; Heather D. Potter; Eduardo D. Silva; Jamie E. Craig; Conceição Egas; Reza Maroofian; Sebastian Maurer-Stroh; Yasmin S. Bradfield; Stuart W. Tompson
TAGS: family, genetics, glaucoma, glaucoma, congenital, mice, pathology, eye, body tissue, alleles, whole exome sequencing
Invest. Ophthalmol. Vis. Sci.. 2020; 61(12):6. https://doi.org/10.1167/iovs.61.12.6

Includes: Supplemental Content

ARVO Annual Meeting Abstract June 2020

SVEP1 as a genetic modifier of TEK -related primary congenital glaucoma

Stuart William Tompson; Kristina Whisenhunt; Sarah M LaMartina; Sean M Martin; Tomokazu Souma; Vachiranee Limviphuvadh; Jing Jin; Nicole M Jody; Samuel J Huang; Brendan M Lawson; Jacob S Martin; Sebastian Maurer-Stroh; Heather D Potter; Yasmin S Bradfield; Terri L Young

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):3519.

Article October 2019

A crash in visual processing: Interference between feedforward and feedback of successive targets limits detection and categorization

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Jacob G. Martin; Patrick H. Cox; Clara A. Scholl; Maximilian Riesenhuber
TAGS: electroencephalography, feedback, feedforward, visual processing, transverse spin relaxation time
Journal of Vision. 2019; 19(12):20. https://doi.org/10.1167/19.12.20

Includes: Multimedia, Supplemental Content

Vision Sciences Society Annual Meeting Abstract August 2017

The speed of continuous face detection suggests shortcuts in the visual hierarchy for upright faces

Jacob Martin; Charles Davis; Maximilian Riesenhuber; Simon Thorpe

Journal of Vision. 2017; 17(10):20. https://doi.org/10.1167/17.10.20

Vision Sciences Society Annual Meeting Abstract August 2017

Unsupervised learning of repeating patterns using a novel STDP based algorithm

Simon Thorpe; Amirreza Yousefzadeh; Jacob Martin; Timothée Masquelier

Journal of Vision. 2017; 17(10):1079. https://doi.org/10.1167/17.10.1079

Vision Sciences Society Annual Meeting Abstract September 2015

Creating shortcuts in the visual hierarchy: improving saccadic reaction time and accuracy with RSVP training

Jacob Martin; Maximilian Riesenhuber; Simon Thorpe

Journal of Vision. 2015; 15(12):1111. https://doi.org/10.1167/15.12.1111

Vision Sciences Society Annual Meeting Abstract August 2014

The time-course of face-selective ERP activation during ultra-rapid saccades

Jacob Martin; Max Riesenhuber; Simon Thorpe

Journal of Vision. 2014; 14(10):134. https://doi.org/10.1167/14.10.134

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Clinical and Biochemical Factors Are Inversely Associated in Diabetic Retinopathy and Age-Related Macular Degeneration

Performance of Automated Machine Learning for Predicting Diabetic Retinopathy Progression from Ultrawide Field Retinal Images

Ethnic Diversity of Retinal Images Used to Train Artificial Intelligence Models Improves Diagnostic Accuracy to Detect Diabetic Retinopathy

Inverse Risk for Progression of Diabetic Retinopathy and Age-Related Macular Degeneration

Automated machine learning (AutoML) model for diabetic retinopathy (DR) image classification from ultrawide field (UWF) retinal images

Comparisons of Handheld Retinal Imaging Devices with Ultrawide Field (UWF) and Early Treatment Diabetic Retinopathy Study (ETDRS) Photographs for Determining Diabetic Retinopathy (DR) Severity

Accuracy of Integrated Artificial Intelligence (AI) Grading at the Point of Care (POC) Using Handheld Retinal Imaging in a Community-Based Diabetic Retinopathy (DR) Screening Program (DRSP)

Automated machine learning (AutoML) models for diabetic retinopathy (DR) image classification from handheld retinal images

Investigating the Time Course of Face Perception Using Web-based Eye Tracking

Comparison of 1-Field and 2-Field Mydriatic Handheld Retinal Imaging with Early Treatment Diabetic Retinopathy Study (ETDRS) 7-Standard Field Photography for Diabetic Retinopathy (DR) and diabetic macular edema (DME)

Comparisons of Handheld Retinal Imaging Devices with Spectral Domain Optical Coherence Tomography (SDOCT) in the Identification of Macular Pathology

Modifiable risk factors for diabetic retinopathy (DR) and macular edema (DME) in children with type 1 diabetes (T1D)

Integrating Macular Optical Coherence Tomography with Ultrawide Field Imaging in a Diabetic Retinopathy Telemedicine Program Using a Single Device

SVEP1 as a Genetic Modifier of TEK -Related Primary Congenital Glaucoma

SVEP1 as a genetic modifier of TEK -related primary congenital glaucoma

A crash in visual processing: Interference between feedforward and feedback of successive targets limits detection and categorization

The speed of continuous face detection suggests shortcuts in the visual hierarchy for upright faces

Unsupervised learning of repeating patterns using a novel STDP based algorithm

Creating shortcuts in the visual hierarchy: improving saccadic reaction time and accuracy with RSVP training

The time-course of face-selective ERP activation during ultra-rapid saccades

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