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ARVO Annual Meeting Abstract June 2022

Detecting keratoconus on two different populations using an unsupervised hybrid artificial intelligence model.

Rossen M Hazarbassanov; Zaid Abdi Alkareem Alyasseri; Ali Al-Timemy; Alexandru Lavric; Ammar Kamal Abasid; Hidenori Takahashi; Jose Arthur Milhomens Filho; Mauro Campos; Siamak Yousefi

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):2088 – F0077. doi:

ARVO Annual Meeting Abstract June 2022

Staging Structural Damage in Glaucoma Based on Optical Coherence Tomography

Siamak Yousefi; Xiaoqin Huang; Paolo Brusini; Chris A Johnson

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):2024 – A0465. doi:

ARVO Annual Meeting Abstract June 2022

An objective and easy-to-use glaucoma severity classification system based on artificial intelligence

Xiaoqin Huang; Fatemeh Saki; Mengyu Wang; Tobias Elze; Michael Boland; Louis Pasquale; Chris A Johnson; Siamak Yousefi

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):2292. doi:

ARVO Annual Meeting Abstract June 2022

Identification of Retinal Cell Types Based on Single-Cell Transcriptomics

Yeganeh Madadi; Jian Sun; hao Chen; Robert W. Williams; Siamak Yousefi

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):6. doi:

ARVO Annual Meeting Abstract June 2022

Rates of Laser Trabeculoplasty by Ophthalmologists and Optometrists: A Comparative Analysis of the Center for Medicare & Medicaid Services Public Use File

Zain S Hussain; Lama A Al-Aswad; Ben J. Harvey; Adegbenro Fakoya; Siamak Yousefi

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):2791 – A0121. doi:

ARVO Annual Meeting Abstract June 2022

Detecting Glaucoma From Retinal Fundus Photographs Based on Deep Learning Models

Md Rafiqul Islam; Md Kowsar Hossain Sakib; Ehsan Kazemi; Siamak Yousefi

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):2102 – F0091. doi:

ARVO Annual Meeting Abstract June 2022

A device-agnostic deep learning model for detecting keratoconus based on anterior elevation corneal maps

Ali Al-Timemy; Laith Al-Zubaidi; Nebras Ghaeb; Hidenori Takahashi; Alexandru Lavric; Zahraa Mosa; Rossen M Hazarbassanov; Zaid Abdi Alkareem Alyasseri; Siamak Yousefi

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):2101 – F0090. doi:

ARVO Annual Meeting Abstract June 2022

A Deep Autoencoder Model to Denoise Visual Fields in Glaucoma

Vishal Sharma; Lucy Q Shen; Louis Pasquale; Tobias Elze; Michael V Boland; Sarah R Wellik; Gustavo De Moraes; Jonathan S Myers; Siamak Yousefi; Mengyu Wang

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):2010 – A0451. doi:

Articles December 2021

A Hybrid Deep Learning Construct for Detecting Keratoconus From Corneal Maps

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Ali H. Al-Timemy; Zahraa M. Mosa; Zaid Alyasseri; Alexandru Lavric; Marcelo M. Lui; Rossen M. Hazarbassanov; Siamak Yousefi
TAGS: cornea, datasets, deep learning, eye, keratoconus, maps
Trans. Vis. Sci. Tech.. 2021; 10(14):16. doi: https://doi.org/10.1167/tvst.10.14.16

Includes: Supplemental Content

ARVO Imaging in the Eye Conference Abstract August 2021

Estimating severity of visual field loss from optical coherence tomography imaging using artificial intelligence

Jian Sun; Xiaoqin Huang; Juleke Majoor; Koenraad A. Vermeer; Hans Lemij; Vahid Mohammadzadeh; Kouros Nouri-Mahdavi; Chris Johnson; Siamak Yousefi

Invest. Ophthalmol. Vis. Sci.. 2021; 62(11):72. doi:

ARVO Imaging in the Eye Conference Abstract August 2021

Objective cataract detection and grading with deep learning based on OCT densitometry

Xiaoqin Huang; Haruhiro Mori; Donny Lukmanto; Thi-Hang Tran; Masahiro Fukuda; Tetsuro Oshika; Siamak Yousefi; Shinichi Fukuda; Jian Sun

Invest. Ophthalmol. Vis. Sci.. 2021; 62(11):67. doi:

ARVO Imaging in the Eye Conference Abstract August 2021

Detecting subtypes of retinal ganglion cells based on single cell RNA-seq data using deep learning

Yeganeh Madadi; Jian Sun; Hao Chen; Monica M. Jablonski; Lu Lu; Robert W. Williams; Siamak Yousefi

Invest. Ophthalmol. Vis. Sci.. 2021; 62(11):64. doi:

ARVO Imaging in the Eye Conference Abstract August 2021

A hybrid deep learning framework for keratoconus detection based on anterior and posterior corneal maps.

Ali H. Al-Timemy; Rossen M. Hazarbassanov; Zahraa M. Mosa; Zaid Alyasseri; Alexandru Lavric; Claudio Alan Oliveira da Rosa; Camila Palmeira Griz; Hidenori Takahashi; Siamak Yousefi

Invest. Ophthalmol. Vis. Sci.. 2021; 62(11):46. doi:

Articles August 2021

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

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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

ARVO Annual Meeting Abstract June 2021

Detecting keratoconus severity from corneal data of different populations with machine learning

Hidenori Takahashi; Ali H. Al-Timemy; Zahraa M. Mosa; Zaid Alyasseri; Alexandru Lavric; Jose Arthur Pinto Milhomens Filho; Kentaro Yuda; Rossen M Hazarbassanov; Siamak Yousefi

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):2145. doi:

ARVO Annual Meeting Abstract June 2021

Novel Genetic Factors Associated with Primary Open-Angle Glaucoma Identified Using Artificial Intelligence

Siamak Yousefi; Krati Gupta; Jian sun; Xiaoqin Huang; Louis Pasquale; Lu Lu; Robert Williams

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):1491. doi:

ARVO Annual Meeting Abstract June 2021

Detecting Severity of Experimental Autoimmune Uveitis in Mice from Retinal Fundus Photographs using Deep Learning

Jian Sun; xiaoqin huang; Siamak Yousefi

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):116. doi:

ARVO Annual Meeting Abstract June 2021

Detecting Glaucoma Progression using Deep Archetypal Analysis of Retinal Nerve Fiber Layer Thickness Measurements

Sidharth Mahotra; Xiaoqin Huang; Tobias Elze; Mengyu Wang; Michael V Boland; Louis Pasquale; Juleke Eugenie Anne Majoor; Koenraad Arndt Vermeer; Hans Lemij; Kouros Nouri-Mahdavi; Chris A Johnson; Siamak Yousefi

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):3357. 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

Detection of Glaucoma Progression from Retinal Nerve Fiber Layer Thickness Measurements Using Machine Learning

Xiaoqin Huang; Sidharth Mahotra; Tobias Elze; Mengyu Wang; Michael V. Boland; Louis Pasquale; Juleke Eugenie Anne Majoor; Hans Lemij; Kouros Nouri-Mahdavi; Chris A Johnson; Siamak Yousefi

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):1005. doi:

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Detecting keratoconus on two different populations using an unsupervised hybrid artificial intelligence model.

Staging Structural Damage in Glaucoma Based on Optical Coherence Tomography

An objective and easy-to-use glaucoma severity classification system based on artificial intelligence

Identification of Retinal Cell Types Based on Single-Cell Transcriptomics

Rates of Laser Trabeculoplasty by Ophthalmologists and Optometrists: A Comparative Analysis of the Center for Medicare & Medicaid Services Public Use File

Detecting Glaucoma From Retinal Fundus Photographs Based on Deep Learning Models

A device-agnostic deep learning model for detecting keratoconus based on anterior elevation corneal maps

A Deep Autoencoder Model to Denoise Visual Fields in Glaucoma

A Hybrid Deep Learning Construct for Detecting Keratoconus From Corneal Maps

Estimating severity of visual field loss from optical coherence tomography imaging using artificial intelligence

Objective cataract detection and grading with deep learning based on OCT densitometry

Detecting subtypes of retinal ganglion cells based on single cell RNA-seq data using deep learning

A hybrid deep learning framework for keratoconus detection based on anterior and posterior corneal maps.

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

Detecting keratoconus severity from corneal data of different populations with machine learning

Novel Genetic Factors Associated with Primary Open-Angle Glaucoma Identified Using Artificial Intelligence

Detecting Severity of Experimental Autoimmune Uveitis in Mice from Retinal Fundus Photographs using Deep Learning

Detecting Glaucoma Progression using Deep Archetypal Analysis of Retinal Nerve Fiber Layer Thickness Measurements

Spatial Patterns of Preclinical Visual Fields in Glaucoma

Detection of Glaucoma Progression from Retinal Nerve Fiber Layer Thickness Measurements Using Machine Learning

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