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Special Issue August 2020

Current Challenges and Barriers to Real-World Artificial Intelligence Adoption for the Healthcare System, Provider, and the Patient

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Rishi P. Singh; Grant L. Hom; Michael D. Abramoff; J. Peter Campbell; Michael F. Chiang; on behalf of the AAO Task Force on Artificial Intelligence
TAGS: artificial intelligence, health care systems, technology, eye, ophthalmology
Trans. Vis. Sci. Tech.. 2020; 9(2):45. doi: https://doi.org/10.1167/tvst.9.2.45

ARVO Annual Meeting Abstract July 2019

Fast and memory-efficient Just-Enough Interaction for retinal layer segmentation in OCT in layer-disrupting pathology

Kyungmoo Lee; Honghai Zhang; Zhihui Guo; Andreas Wahle; Hrvoje Bogunović; Sebastian M Waldstein; Bianca S Gerendas; Ursula Schmidt-Erfurth; Michael David Abramoff; Milan Sonka

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):155. doi:

ARVO Annual Meeting Abstract July 2019

Correlation of retinal ganglion cell metrics made in vivo using SD-OCT versus ex vivo using quantitative histology in Diversity Outbred mice

Michael G Anderson; Adam Hedberg-Buenz; Carly van der Heide; Kacie Meyer; Kyungmoo Lee; Michael David Abramoff

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):5604. doi:

ARVO Annual Meeting Abstract July 2019

Autonomous artificial intelligence (AI) reliably detects diabetic retinopathy

Stephanie Klein Lynch; James C Folk; Michael David Abramoff

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):1537. doi:

ARVO Annual Meeting Abstract July 2019

Progressive Neurodegeneration in Macular Telangiectasia Type 2 (MacTel)

Alec Lee Amram; S. Scott whitmore; Christine Clavell; Lance Lyons; Alexander Michael Rusakevich; Ian Han; James C Folk; H Culver Boldt; Karen Gehrs; Edwin M Stone; Stephen R Russell; Kyungmoo Lee; Michael David Abramoff; Charles Clifton Wykoff; Elliott H Sohn

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):2570. doi:

ARVO Annual Meeting Abstract July 2019

FDA-authorized autonomous AI for diabetic retinopathy screening in clinical routine

Bianca S Gerendas; Martina Neschi; Martin Michl; Lupyr Kostiantyn; Gabor Gy Deak; Yvonne Winhofer; Alexandra Kautzky-Willer; Michael David Abramoff; Ursula Schmidt-Erfurth

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):4776. doi:

ARVO Annual Meeting Abstract July 2018

Multi-layer OCT segmentation in the presence of layer-disrupting pathology: Just-Enough Interaction Approach

Milan Sonka; Kyungmoo Lee; Zhihui Guo; Honghai Zhang; Andreas Wahle; Sebastian M Waldstein; Bianca S Gerendas; Ursula Schmidt-Erfurth; Michael David Abramoff

Invest. Ophthalmol. Vis. Sci.. 2018; 59(9):1677. doi:

Retina January 2018

Approach for a Clinically Useful Comprehensive Classification of Vascular and Neural Aspects of Diabetic Retinal Disease

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Michael D. Abramoff; Patrice E. Fort; Ian C. Han; K. Thiran Jayasundera; Elliott H. Sohn; Thomas W. Gardner
TAGS: diabetes mellitus, retinal diseases, diagnostic imaging, dorsal raphe nucleus
Invest. Ophthalmol. Vis. Sci.. 2018; 59(1):519-527. doi: https://doi.org/10.1167/iovs.17-21873

Retina October 2017

Spatial Correspondence Between Intraretinal Fluid, Subretinal Fluid, and Pigment Epithelial Detachment in Neovascular Age-Related Macular Degeneration

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Sophie Klimscha; Sebastian M. Waldstein; Thomas Schlegl; Hrvoje Bogunović; Amir Sadeghipour; Ana-Maria Philip; Dominika Podkowinski; Eleonore Pablik; Li Zhang; Michael D. Abramoff; Milan Sonka; Bianca S. Gerendas; Ursula Schmidt-Erfurth
TAGS: exudative age-related macular degeneration, retinal pigment epithelial detachment, eye, diagnostic imaging, choroidal neovascularization
Invest. Ophthalmol. Vis. Sci.. 2017; 58(10):4039-4048. doi: https://doi.org/10.1167/iovs.16-20201

Includes: Multimedia, Supplemental Content

ARVO Annual Meeting Abstract June 2017

How to Distill Disease-Differentiating, Quantitative Phenotypic Patterns from OCT Data

S Scott Whitmore; Kyungmoo Lee; Adam P DeLuca; Young H Kwon; Jeremy M Hoffman; Jennifer A Halder; Robert F Mullins; Todd E Scheetz; Edwin M Stone; Michael David Abramoff

Invest. Ophthalmol. Vis. Sci.. 2017; 58(8):826. doi:

ARVO Annual Meeting Abstract June 2017

Catastrophic Failure in Image-Based Convolutional Neural Network Algorithms for Detecting Diabetic Retinopathy

Stephanie Klein Lynch; Abhay Shah; James C Folk; Xiaodong Wu; Michael David Abramoff

Invest. Ophthalmol. Vis. Sci.. 2017; 58(8):3776. doi:

ARVO Annual Meeting Abstract June 2017

OCT- Predictive Visual Threshold Sensitivity Predicts Visual Field Loss in Patients with Ocular Inflammatory Disease

James Jacobson Peairs; Michael David Abramoff; Kyungmoo Lee; zhihui guo; Douglas B. Critser; James C Folk

Invest. Ophthalmol. Vis. Sci.. 2017; 58(8):502. doi:

ARVO Annual Meeting Abstract June 2017

Optical Coherence Tomography analysis based prediction of Humphrey 24-2 visual field thresholds in patients with glaucoma

zhihui guo; Young H Kwon; Kyungmoo Lee; Kai Wang; Chris A Johnson; Mona K Garvin; Milan Sonka; Michael David Abramoff

Invest. Ophthalmol. Vis. Sci.. 2017; 58(8):5828. doi:

ARVO Annual Meeting Abstract June 2017

Layer-Specific Vascular Analysis of OCT Angiography in Diabetic Macular Edema

Kyungmoo Lee; Ian C Han; Douglas B. Critser; Andreas Wahle; Milan Sonka; Michael David Abramoff

Invest. Ophthalmol. Vis. Sci.. 2017; 58(8):644. doi:

ARVO Annual Meeting Abstract June 2017

Retinal layer segmentation results differ between two generations of OCT devices

Beerend Winkelman; Johanna Maria Colijn; Pieter W.M. Bonnemaijer; Fernanda Fujihara; Michael David Abramoff; Kristine E Lee; Anthony S Fairbanks; Stacy M Meuer; Barbara E K Klein; Ronald Klein; Caroline Klaver

Invest. Ophthalmol. Vis. Sci.. 2017; 58(8):672. doi:

ARVO Annual Meeting Abstract June 2017

Does fluorescein angiography add value in the management of suspected choroidal neovascularization?

Prashant Parekh; James C Folk; Stephen R Russell; Elliott Sohn; Michael David Abramoff

Invest. Ophthalmol. Vis. Sci.. 2017; 58(8):1857. doi:

ARVO Annual Meeting Abstract June 2017

Associations of peripheral sensory, autonomic and anatomic neural characteristics and proliferative retinopathy in persons with type 1 diabetes

Barbara E K Klein; Kayla L. Horak; Kristine E Lee; Stacy M Meuer; Michael David Abramoff; Elsayed Z. Soliman; Mary Rechek; Ronald Klein

Invest. Ophthalmol. Vis. Sci.. 2017; 58(8):2890. doi:

ARVO Annual Meeting Abstract June 2017

Diabetes induced neurodegeneration in the retina and the brain of mice are associated and independent of microvasculopathy

Chunhua Jiao; Michael David Abramoff; Kyungmoo Lee; Ipek Oguz; Peter Adamson; Adam Hedberg-Buenz; Michael G Anderson; Elliott Sohn

Invest. Ophthalmol. Vis. Sci.. 2017; 58(8):5195. doi:

Articles December 2016

4D Graph-Based Segmentation for Reproducible and Sensitive Choroid Quantification From Longitudinal OCT Scans

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Ipek Oguz; Michael D. Abramoff; Li Zhang; Kyungmoo Lee; Ellen Ziyi Zhang; Milan Sonka
TAGS: choroid, cohort studies, graphical displays, noise, datasets, glaucoma
Invest. Ophthalmol. Vis. Sci.. 2016; 57(9):OCT621-OCT630. doi: https://doi.org/10.1167/iovs.15-18924

ARVO Annual Meeting Abstract September 2016

Graph-based fluid segmentation from OCT images

Ipek Oguz; Li Zhang; Andreas Wahle; Milan Sonka; Michael David Abramoff

Invest. Ophthalmol. Vis. Sci.. 2016; 57(12):1636. doi:

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Current Challenges and Barriers to Real-World Artificial Intelligence Adoption for the Healthcare System, Provider, and the Patient

Fast and memory-efficient Just-Enough Interaction for retinal layer segmentation in OCT in layer-disrupting pathology

Correlation of retinal ganglion cell metrics made in vivo using SD-OCT versus ex vivo using quantitative histology in Diversity Outbred mice

Autonomous artificial intelligence (AI) reliably detects diabetic retinopathy

Progressive Neurodegeneration in Macular Telangiectasia Type 2 (MacTel)

FDA-authorized autonomous AI for diabetic retinopathy screening in clinical routine

Multi-layer OCT segmentation in the presence of layer-disrupting pathology: Just-Enough Interaction Approach

Approach for a Clinically Useful Comprehensive Classification of Vascular and Neural Aspects of Diabetic Retinal Disease

Spatial Correspondence Between Intraretinal Fluid, Subretinal Fluid, and Pigment Epithelial Detachment in Neovascular Age-Related Macular Degeneration

How to Distill Disease-Differentiating, Quantitative Phenotypic Patterns from OCT Data

Catastrophic Failure in Image-Based Convolutional Neural Network Algorithms for Detecting Diabetic Retinopathy

OCT- Predictive Visual Threshold Sensitivity Predicts Visual Field Loss in Patients with Ocular Inflammatory Disease

Optical Coherence Tomography analysis based prediction of Humphrey 24-2 visual field thresholds in patients with glaucoma

Layer-Specific Vascular Analysis of OCT Angiography in Diabetic Macular Edema

Retinal layer segmentation results differ between two generations of OCT devices

Does fluorescein angiography add value in the management of suspected choroidal neovascularization?

Associations of peripheral sensory, autonomic and anatomic neural characteristics and proliferative retinopathy in persons with type 1 diabetes

Diabetes induced neurodegeneration in the retina and the brain of mice are associated and independent of microvasculopathy

4D Graph-Based Segmentation for Reproducible and Sensitive Choroid Quantification From Longitudinal OCT Scans

Graph-based fluid segmentation from OCT images

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