Search | TVST | ARVO Journals

Showing 1 – 20 of 142

SORT: Best Match Most Recent Oldest

VIEW: Basic | Expanded

Articles August 2021

Unsupervised Machine Learning Identifies Quantifiable Patterns of Visual Field Loss in Idiopathic Intracranial Hypertension

PDF

Hiten Doshi; Elena Solli; Tobias Elze; Louis R. Pasquale; Michael Wall; Mark J. Kupersmith
TAGS: antithymoglobulin, arterial tortuosity syndrome, blindness, body weight, datasets, eye, periodic paralysis, potassium-sensitive cardiodysrhythmic type, pseudotumor cerebri, unsupervised machine learning, visual field defects
Trans. Vis. Sci. Tech.. 2021; 10(9):37. doi: https://doi.org/10.1167/tvst.10.9.37

Includes: Supplemental Content

Articles August 2021

Development of Primary Open Angle Glaucoma-Like Features in a Rhesus Macaque Colony From Southern China

PDF

Louis R. Pasquale; Li Gong; Janey L. Wiggs; Lingzhen Pan; Zhenyan Yang; Mingling Wu; Zunyuan Yang; Dong Feng Chen; Wen Zeng
TAGS: cercopithecidae, glaucoma, macaca mulatta, open-angle glaucoma, intraocular pressure, china
Trans. Vis. Sci. Tech.. 2021; 10(9):20. doi: https://doi.org/10.1167/tvst.10.9.20

Includes: Supplemental Content

Articles August 2021

Estimating the Severity of Visual Field Damage From Retinal Nerve Fiber Layer Thickness Measurements With Artificial Intelligence

PDF

Xiaoqin Huang; Jian Sun; Juleke Majoor; Koenraad Arndt Vermeer; Hans Lemij; Tobias Elze; Mengyu Wang; Michael Vincent Boland; Louis Robert Pasquale; Vahid Mohammadzadeh; Kouros Nouri-Mahdavi; Chris Johnson; Siamak Yousefi
TAGS: retinal nerve fiber layer, visual fields, glaucoma, artificial intelligence, datasets, eye
Trans. Vis. Sci. Tech.. 2021; 10(9):16. doi: https://doi.org/10.1167/tvst.10.9.16

Articles June 2021

Development and Comparison of Machine Learning Algorithms to Determine Visual Field Progression

PDF

Osamah Saeedi; Michael V. Boland; Loris D'Acunto; Ramya Swamy; Vikram Hegde; Surabhi Gupta; Amin Venjara; Joby Tsai; Jonathan S. Myers; Sarah R. Wellik; Gustavo DeMoraes; Louis R. Pasquale; Lucy Q. Shen; Yangjiani Li; Tobias Elze
TAGS: glaucoma, machine learning, visual fields, eye, datasets
Trans. Vis. Sci. Tech.. 2021; 10(7):27. doi: https://doi.org/10.1167/tvst.10.7.27

Includes: Supplemental Content

ARVO Annual Meeting Abstract June 2021

Association of Non-Melanoma Skin Cancer with Exfoliation Syndrome: The Utah Project of Exfoliation Syndrome

Christian James Pompoco; Chase Paulson; Samuel C. Taylor; Brian Craig Stagg; Robert Ritch; Jae H Kang; Janey L Wiggs; Louis R Pasquale; Karen Curtin; Barbara M Wirostko

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):71. doi:

ARVO Annual Meeting Abstract June 2021

Unsupervised Machine Learning Identifies Relevant Patterns of Loss, and Quantifies Response to Treatment in Visual Fields from Eyes with Idiopathic Intracranial Hypertension

Hiten Doshi; Elena Solli; Tobias Elze; Louis R Pasquale; Michael Wall; Mark J Kupersmith

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):2394. doi:

ARVO Annual Meeting Abstract June 2021

Automated Machine Learning vs. Inception for the Autonomous Detection of Disc Hemorrhage

Aaron C Brown; Henry Cousins; Clara Cousins; Nisha Chadha; Kateki Vinod; Alon Harris; Fotis Topouzis; Vassilis Kilintzis; Michael Coote; Louis R Pasquale

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):2133. doi:

ARVO Annual Meeting Abstract June 2021

An autonomous algorithm shows that African and Hispanic Americans with primary open-angle glaucoma present with severe visual field loss patterns

Louis R Pasquale; Jae H Kang; Bernard Rosner; Janey L Wiggs; Mengyu Wang; Tobias Elze

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):3499. doi:

ARVO Annual Meeting Abstract June 2021

Effect of Dietary Modification on Incident Open-Angle Glaucoma in a Randomized Trial

Rajvi Mehta; Roberta Ray; Louis R Pasquale; Pauline M Maki; Mary N Haan; Rebecca Jackson; Thasarat S Vajaranant

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):1612. doi:

ARVO Annual Meeting Abstract June 2021

Spatial Patterns of Preclinical Visual Fields in Glaucoma

Eun Young Choi; Lucy Q Shen; Louis R Pasquale; Michael V Boland; Pradeep Y Ramulu; Sarah W Wellik; C Gustavo De Moraes; Jonathan S. Myers; Siamak Yousefi; Peter Bex; Yangjiani Li; Mohammad Eslami; Tobias Elze; Mengyu Wang

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):1007. doi:

ARVO Annual Meeting Abstract June 2021

Artificial Intelligence Assessment of Optic Cup Shape Patterns in Glaucoma

Mengyu Wang; Lucy Q Shen; Louis R Pasquale; Thao D. Nguyen; Yangjiani Li; Mohammad Eslami; Chhavi Saini; Nazlee Zebardast; Tobias Elze

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):3359. doi:

ARVO Annual Meeting Abstract June 2021

Differences in retinal capillary blood flow and visual function in healthy male and female subjects of African and European descent

Brent A Siesky; Alon Harris; Nicholas Kalafatis; Louis R Pasquale; Aditya Belamkar; Joshua D. Shin; Ingrida Januleviciene; Giovanna Guidoboni; Alice Chandra Verticchio Vercellin

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):548. doi:

ARVO Annual Meeting Abstract June 2021

Associations between Large Optic Nerve Cupping, Related Genetic Risk Scores and Cognitive function

Sasha Kravets; Rawan Allozi; Louis R Pasquale; Mark A Espeland; Steve R Rapp; Barbara E. K. Klein; Stacy M Meuer; Mary N Haan; Pauline M Maki; Joelle Hallak; Thasarat S Vajaranant

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):1589. doi:

ARVO Annual Meeting Abstract June 2021

Anthropometric measures and their relationship to a keratoconus-like trait in the US population, NHANES 1999-2008

Girish Valluru; Daniel Henick; Janek Klawe; Bian Liu; Louis R Pasquale; Sumayya Ahmad

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):2041. doi:

Perspective June 2021

Impact of Artificial Intelligence on Medical Education in Ophthalmology

PDF

Nita G. Valikodath; Emily Cole; Daniel S. W. Ting; J. Peter Campbell; Louis R. Pasquale; Michael F. Chiang; R. V. Paul Chan; on behalf of the American Academy of Ophthalmology Task Force on Artificial Intelligence
TAGS: artificial intelligence, education, medical, ophthalmology, physicians
Trans. Vis. Sci. Tech.. 2021; 10(7):14. doi: https://doi.org/10.1167/tvst.10.7.14

Articles June 2021

Paired Optic Nerve Microvasculature and Nailfold Capillary Measurements in Primary Open-Angle Glaucoma

PDF

Marissa K. Shoji; Clara C. Cousins; Chhavi Saini; Rafaella Nascimento e Silva; Mengyu Wang; Stacey C. Brauner; Scott H. Greenstein; Louis R. Pasquale; Lucy Q. Shen
TAGS: blood capillaries, microvascular network, open-angle glaucoma, pathology, optic nerve, eye
Trans. Vis. Sci. Tech.. 2021; 10(7):13. doi: https://doi.org/10.1167/tvst.10.7.13

Includes: Supplemental Content

Perspective March 2021

Artificial Intelligence to Reduce Ocular Health Disparities: Moving From Concept to Implementation

PDF

John P. Campbell; Ciku Mathenge; Hunter Cherwek; Konstantinos Balaskas; Louis R. Pasquale; Pearse A. Keane; Michael F. Chiang; on behalf of the American Academy of Ophthalmology Task Force on Artificial Intelligence
TAGS: artificial intelligence, blindness, diabetic retinopathy, health disparity, implementation science, ophthalmology, screening, technology, glaucoma, refractive errors
Trans. Vis. Sci. Tech.. 2021; 10(3):19. doi: https://doi.org/10.1167/tvst.10.3.19

Articles November 2020

Inter-Eye Association of Visual Field Defects in Glaucoma and Its Clinical Utility

PDF

Bettina Teng; Dian Li; Eun Young Choi; Lucy Q. Shen; Louis R. Pasquale; Michael V. Boland; Pradeep Ramulu; Sarah R. Wellik; Carlos Gustavo De Moraes; Jonathan S. Myers; Siamak Yousefi; Thao Nguyen; Yuying Fan; Hui Wang; Peter J. Bex; Tobias Elze; Mengyu Wang

Trans. Vis. Sci. Tech.. 2020; 9(12):22. doi: https://doi.org/10.1167/tvst.9.12.22

Includes: Supplemental Content

Articles August 2020

An Artificial Intelligence Approach to Assess Spatial Patterns of Retinal Nerve Fiber Layer Thickness Maps in Glaucoma

PDF

Mengyu Wang; Lucy Q. Shen; Louis R. Pasquale; Hui Wang; Dian Li; Eun Young Choi; Siamak Yousefi; Peter J. Bex; Tobias Elze
TAGS: artificial intelligence, glaucoma, maps, retinal nerve fiber layer, eye
Trans. Vis. Sci. Tech.. 2020; 9(9):41. doi: https://doi.org/10.1167/tvst.9.9.41

Includes: Supplemental Content

Special Issue July 2020

Protecting Data Privacy in the Age of AI-Enabled Ophthalmology

PDF

Elysse Tom; Pearse A. Keane; Marian Blazes; Louis R. Pasquale; Michael F. Chiang; Aaron Y. Lee; Cecilia S. Lee; and AAO Artificial Intelligence Task Force
TAGS: ophthalmology, privacy, datasets
Trans. Vis. Sci. Tech.. 2020; 9(2):36. doi: https://doi.org/10.1167/tvst.9.2.36

1 2 3 4 5

Next 20 Results »

NARROW

Content Type

Journal

Article Type

Topics

Tags

Filters

Specify Date Range

Unsupervised Machine Learning Identifies Quantifiable Patterns of Visual Field Loss in Idiopathic Intracranial Hypertension

Development of Primary Open Angle Glaucoma-Like Features in a Rhesus Macaque Colony From Southern China

Estimating the Severity of Visual Field Damage From Retinal Nerve Fiber Layer Thickness Measurements With Artificial Intelligence

Development and Comparison of Machine Learning Algorithms to Determine Visual Field Progression

Association of Non-Melanoma Skin Cancer with Exfoliation Syndrome: The Utah Project of Exfoliation Syndrome

Unsupervised Machine Learning Identifies Relevant Patterns of Loss, and Quantifies Response to Treatment in Visual Fields from Eyes with Idiopathic Intracranial Hypertension

Automated Machine Learning vs. Inception for the Autonomous Detection of Disc Hemorrhage

An autonomous algorithm shows that African and Hispanic Americans with primary open-angle glaucoma present with severe visual field loss patterns

Effect of Dietary Modification on Incident Open-Angle Glaucoma in a Randomized Trial

Spatial Patterns of Preclinical Visual Fields in Glaucoma

Artificial Intelligence Assessment of Optic Cup Shape Patterns in Glaucoma

Differences in retinal capillary blood flow and visual function in healthy male and female subjects of African and European descent

Associations between Large Optic Nerve Cupping, Related Genetic Risk Scores and Cognitive function

Anthropometric measures and their relationship to a keratoconus-like trait in the US population, NHANES 1999-2008

Impact of Artificial Intelligence on Medical Education in Ophthalmology

Paired Optic Nerve Microvasculature and Nailfold Capillary Measurements in Primary Open-Angle Glaucoma

Artificial Intelligence to Reduce Ocular Health Disparities: Moving From Concept to Implementation

Inter-Eye Association of Visual Field Defects in Glaucoma and Its Clinical Utility

An Artificial Intelligence Approach to Assess Spatial Patterns of Retinal Nerve Fiber Layer Thickness Maps in Glaucoma

Protecting Data Privacy in the Age of AI-Enabled Ophthalmology

To View More...

You must be signed into an individual account to use this feature.