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Eye Movements, Strabismus, Amblyopia and Neuro-ophthalmology July 2024

Association of Retinal Biomarkers With the Subtypes of Ischemic Stroke and an Automated Classification Model

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Zhouwei Xiong; William R. Kwapong; Shouyue Liu; Tao Chen; Keyi Xu; Haiting Mao; Jinkui Hao; Le Cao; Jiang Liu; Yalin Zheng; Hang Wang; Yuying Yan; Chen Ye; Bo Wu; Hong Qi; Yitian Zhao
TAGS: ischemic stroke, biological markers
Invest. Ophthalmol. Vis. Sci.. 2024; 65(8):50. https://doi.org/10.1167/iovs.65.8.50

ARVO Annual Meeting Abstract June 2024

Detection of co-existing macular pathology in patients on hydroxychloroquine therapy using a foundation model

Savita Madhusudhan; David Parry; Zhuangzhi Gao; Gayatri Murugan; Kanwaldeep Singh; Paula Burke; Pearse Andrew Keane; Yalin Zheng

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):2338.

ARVO Annual Meeting Abstract June 2024

Can a novel comparative AI for diabetic retinopathy based on pairwise comparisons make uncertainty more predictable and explainable?

Simon P Harding; David Wong; Mark Johnson; Elizabeth Maitland; Wenyue Zhu; Dongxu Gao; Philip Burgess; Gabriela Czanner; Yalin Zheng

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):3751.

ARVO Annual Meeting Abstract June 2024

The Effect of Disease Prevalence on Performance of a Novel Comparative AI for Diabetic Retinopathy

Philip Burgess; David Wong; Simon P Harding; Mark Johnson; Elizabeth Maitland; Wenyue Zhu; Dongxu Gao; Gabriela Czanner; Yalin Zheng

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):3763.

Retina April 2024

Linking Vascular Structure and Function: Image-Based Virtual Populations of the Retina

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Rémi J. Hernandez; Savita Madhusudhan; Yalin Zheng; Wahbi K. El-Bouri
TAGS: fluid flow, hemodynamics, macula lutea, retina, vascular flow, vasculature, blood capillaries, sensitivity analysis, language morphology, morphology
Invest. Ophthalmol. Vis. Sci.. 2024; 65(4):40. https://doi.org/10.1167/iovs.65.4.40

Includes: Supplemental Content

ARVO Annual Meeting Abstract June 2023

Modifiable surgical parameters associated with success in glaucoma filtration surgery

Jeremy TAN; Matthew Roney; Anshoo Choudhary; Mark Batterbury; Yalin Zheng; Neeru Amrita Vallabh

Invest. Ophthalmol. Vis. Sci.. 2023; 64(8):3264.

Artificial Intelligence May 2023

Deep Learning Using Preoperative AS-OCT Predicts Graft Detachment in DMEK

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Alastair Patefield; Yanda Meng; Matteo Airaldi; Giulia Coco; Sabrina Vaccaro; Mohit Parekh; Francesco Semeraro; Kunal A. Gadhvi; Stephen B. Kaye; Yalin Zheng; Vito Romano
TAGS: deep learning, descemet membrane endothelial keratoplasty, preoperative care, tissue transplants
Trans. Vis. Sci. Tech.. 2023; 12(5):14. https://doi.org/10.1167/tvst.12.5.14

Cornea & External Disease August 2022

Accurate In Vivo Bowman's Thickness Measurement Using Mirau Ultrahigh Axial Resolution Line Field Optical Coherence Tomography

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Samuel Lawman; Sharon Mason; Stephen B. Kaye; Yao-Chun Shen; Yalin Zheng
TAGS: bowman's layer, cornea, diagnostic imaging, epithelium, optical coherence tomography, spatial vectors, spectral domain-optical coherence tomography
Trans. Vis. Sci. Tech.. 2022; 11(8):6. https://doi.org/10.1167/tvst.11.8.6

ARVO Annual Meeting Abstract June 2022

Optic disc features in UKBIOBANK (UKBB) and the novel deep learning (DL) algorithm for automated prediction of cup-disc ratio (CDR) from colour fundus (CF) images.

Barbra Hamill; Tunde Peto; Dongxu Gao; Godhuli Patri; Savita Madhusudhan; Yalin Zheng; Paul Foster; Konstantinos Balaskas; Michael Joseph Quinn; Pauline Lenfestey; David Parry; Sophie Leach; Muldrew Alyson; Laura Cushley; Alan Sproule; catherine Jamison

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):1647 – A0142.

Articles April 2021

Predictive Association of Pre-Operative Defect Areas in the Outer Retinal Layers With Visual Acuity in Macular Hole Surgery

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Carmen Baumann; Danilo Iannetta; Ziyaad Sultan; Ian A. Pearce; Chris P. Lohmann; Yalin Zheng; Stephen B. Kaye
TAGS: embryonic lethal mutation, repair of hole of macula lutea, visual acuity, postoperative care
Trans. Vis. Sci. Tech.. 2021; 10(4):7. https://doi.org/10.1167/tvst.10.4.7

Special Issue September 2020

Piloting a Deep Learning Model for Predicting Nuclear BAP1 Immunohistochemical Expression of Uveal Melanoma from Hematoxylin-and-Eosin Sections

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Hongrun Zhang; Helen Kalirai; Amelia Acha-Sagredo; Xiaoyun Yang; Yalin Zheng; Sarah E. Coupland
TAGS: bap1 gene, deep learning, eosine yellowish-(ys), hematoxylin, intraocular melanoma, neoplasms, training
Trans. Vis. Sci. Tech.. 2020; 9(2):50. https://doi.org/10.1167/tvst.9.2.50

Includes: Supplemental Content

ARVO Annual Meeting Abstract June 2020

Diagnostic accuracy of a machine-learning algorithm to detect and classify choroidal neovascularization based on SD-OCT in neovascular age-related macular degeneration (nAMD)

Andreas Maunz; Fethallah Benmansour; Yun Li; Thomas Albrecht; Yan-Ping Zhang; Filippo Arcadu; Yalin Zheng; Savita Madhusudhan; Jayashree Sahni

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):2649.

ARVO Annual Meeting Abstract June 2020

Corneal confocal microscopy and not optical coherence tomography detects progressive worsening of neuropathy in Type 1 Diabetes

Handan Akil; Jonathan Lim; Dongxu Gao; Jamie Burgess; Amira Stylianides; Cheong Ooi; Marta Garcia Finana; Philip Burgess; Yalin Zheng; Uazman Alam

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):5301.

ARVO Imaging in the Eye Conference Abstract August 2019

Fully automatic localisation of the optic disc using YOLO in colour fundus photographs

Yalin Zheng; Yitian Zhao; Xu Chen; Dongxu Gao; Joshua Bridge; Wenyue Zhu; Bryan Williams

Invest. Ophthalmol. Vis. Sci.. 2019; 60(11):PB038.

ARVO Annual Meeting Abstract July 2019

En-face morphometric analysis of the human limbal lymphatic vasculature

Bernhard Steger; Christoph Palme; Vito Romano; Sajjad Ahmad; Christof Seifarth; Bryan Williams; Yalin Zheng; Mohit Parekh; Stephen B Kaye

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):953.

ARVO Annual Meeting Abstract July 2019

In-vivo evaluation of corneal collagen fibrils pattern to detect keratoconus

Vito Romano; Dr. Davide Borroni; Brendan Geraghty; Eugenio Lipari; Alessandra Sborgia; Yalin Zheng; Stephen B Kaye; Bryan Williams

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):331.

ARVO Annual Meeting Abstract July 2019

Fully Convolutional Segmentation of Corneal Limbus and Foveal Blood Vessels in Fluorescein Angiography

Yalin Zheng; Hanjie Yao; Yaochun Shen; Yitian Zhao; Bryan Williams

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):177.

ARVO Annual Meeting Abstract July 2018

Building a validated in vivo confocal microscopy (IVCM) dataset for the study of corneal nerves

Davide Borroni; Mike Beech; Bryan Williams; Rongjun Liu; Yitian Zhao; Baikai Ma; Vito Romano; Uazman Alam; Hong Qi; Stephen B Kaye; Yalin Zheng

Invest. Ophthalmol. Vis. Sci.. 2018; 59(9):5719.

ARVO Annual Meeting Abstract July 2018

Automated detection of corneal nerves using deep learning

Hong Qi; Davide Borroni; Rongjun Liu; Bryan Williams; Mike Beech; Yitian Zhao; Baikai Ma; Vito Romano; Uazman Alam; Stephen B Kaye; Yalin Zheng

Invest. Ophthalmol. Vis. Sci.. 2018; 59(9):5721.

Cornea March 2018

Imaging of Corneal Neovascularization: Optical Coherence Tomography Angiography and Fluorescence Angiography

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Matthias Brunner; Vito Romano; Bernhard Steger; Riccardo Vinciguerra; Samuel Lawman; Bryan Williams; Nicholas Hicks; Gabriela Czanner; Yalin Zheng; Colin E. Willoughby; Stephen B. Kaye
TAGS: angiogram, corneal neovascularization, diagnostic imaging, fluorescence, optical coherence tomography, cornea
Invest. Ophthalmol. Vis. Sci.. 2018; 59(3):1263-1269. https://doi.org/10.1167/iovs.17-22035

Includes: Supplemental Content

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Association of Retinal Biomarkers With the Subtypes of Ischemic Stroke and an Automated Classification Model

Detection of co-existing macular pathology in patients on hydroxychloroquine therapy using a foundation model

Can a novel comparative AI for diabetic retinopathy based on pairwise comparisons make uncertainty more predictable and explainable?

The Effect of Disease Prevalence on Performance of a Novel Comparative AI for Diabetic Retinopathy

Linking Vascular Structure and Function: Image-Based Virtual Populations of the Retina

Modifiable surgical parameters associated with success in glaucoma filtration surgery

Deep Learning Using Preoperative AS-OCT Predicts Graft Detachment in DMEK

Accurate In Vivo Bowman's Thickness Measurement Using Mirau Ultrahigh Axial Resolution Line Field Optical Coherence Tomography

Optic disc features in UKBIOBANK (UKBB) and the novel deep learning (DL) algorithm for automated prediction of cup-disc ratio (CDR) from colour fundus (CF) images.

Predictive Association of Pre-Operative Defect Areas in the Outer Retinal Layers With Visual Acuity in Macular Hole Surgery

Piloting a Deep Learning Model for Predicting Nuclear BAP1 Immunohistochemical Expression of Uveal Melanoma from Hematoxylin-and-Eosin Sections

Diagnostic accuracy of a machine-learning algorithm to detect and classify choroidal neovascularization based on SD-OCT in neovascular age-related macular degeneration (nAMD)

Corneal confocal microscopy and not optical coherence tomography detects progressive worsening of neuropathy in Type 1 Diabetes

Fully automatic localisation of the optic disc using YOLO in colour fundus photographs

En-face morphometric analysis of the human limbal lymphatic vasculature

In-vivo evaluation of corneal collagen fibrils pattern to detect keratoconus

Fully Convolutional Segmentation of Corneal Limbus and Foveal Blood Vessels in Fluorescein Angiography

Building a validated in vivo confocal microscopy (IVCM) dataset for the study of corneal nerves

Automated detection of corneal nerves using deep learning

Imaging of Corneal Neovascularization: Optical Coherence Tomography Angiography and Fluorescence Angiography

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