Search | TVST | ARVO Journals

Showing 1 – 20 of 29

SORT: Best Match Most Recent Oldest

VIEW: Basic | Expanded

ARVO Annual Meeting Abstract June 2024

Association of calcium channel blockers use with visual field progression in glaucoma clinics

Giovanni Montesano; Alessandro Rabiolo; David F Garway-Heath; Dun Jack Fu; Gus Gazzard; Giovanni Ometto; David P. Crabb; Anthony P Khawaja

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):2763.

ARVO Annual Meeting Abstract June 2024

A deep-learning approach to identifying quantitative OCT biomarkers predictive of visual deficit measured by microperimetry at 24 months in the OAKS trial

Dun Jack Fu; Pallavi Bagga; Gunjan Naik; Livia Faes; Rosana Lima; Georgina Wignall; Pearse Andrew Keane; Alex McKeown; Lukas Scheibler; Praveen J Patel; Ismail Moghul; Nikolas Pontikos; Konstantinos Balaskas

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):2772.

ARVO Annual Meeting Abstract June 2024

Association of Mesopic Visual Sensitivities with automatically segmented Retinal Pigment Epithelium and Outer Retinal Atrophy (RORA) on Ocular Coherence Tomography (OCT)

Ana Paula Ribeiro Reis; Taha Soomro; Dun Jack Fu; Gunjan Naik; Gongyu Zhang; Alan Sousa da Silva; Ismail Moghul; Pallavi Bagga; Praveen J Patel; Nikolas Pontikos; Robyn H Guymer; Zhichao Wu; Konstantinos Balaskas

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):3760.

ARVO Annual Meeting Abstract June 2024

AutoMorph Optimization for Enhanced Retinal Vessel Analysis in Premature Infants

Gongyu Zhang; Bernardo Souza Mendes; Siegfried Wagner; Ana Paula Ribeiro Reis; Taha Soomro; Gunjan Naik; Pallavi Bagga; Rosana Lima; Hanna Faber; Hanna Faber; Dun Jack Fu; Christos Bergeles; Timothy L Jackson; Ismail Moghul; Nikolas Pontikos; Konstantinos Balaskas

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):2396.

ARVO Annual Meeting Abstract June 2024

Extending Eye2Gene to Quantify the Phenotypic Diversity and Similarity of 63 Inherited Retinal Diseases using an Embedding Approach

Bernardo Souza Mendes; William Woof; Biraja Ghoshal; Quang Nguyen; Gunjan Naik; Pallavi Bagga; Ismail Moghul; Dun Jack Fu; Mital Shah; Saoud Al-Khuzaei; Thales Antonio Cabral De Guimaraes; Malena Daich Varela; Sagnik Sen; Konstantinos Balaskas; Michel Michaelides; Nikolas Pontikos

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):4653.

ARVO Annual Meeting Abstract June 2024

Validation of polygenic risk score in age-related macular degeneration prognosis: a pilot study

Yiu Wai Chan; Timing Liu; Ismail Moghul; Siegfried Wagner; Dun Jack Fu; Alan Sousa da Silva; Gongyu Zhang; Gunjan Naik; Pallavi Bagga; Sophie Glinton; Sobha Sivaprasad; Anthony P Khawaja; Praveen J Patel; Pearse Andrew Keane; Nikolas Pontikos; Konstantinos Balaskas

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):5648.

ARVO Annual Meeting Abstract June 2024

EyeSAM: Unveiling the Potential of Segment Anything Model in Ophthalmic Image Segmentation

Alan Sousa da Silva; Gunjan Naik; Pallavi Bagga; Taha Soomro; Ana P. Ribeiro Reis; Gongyu Zhang; Ethan Waisberg; Lynn Kandakji; Siyin Liu; Dun Jack Fu; William Woof; Ismail Moghul; Konstantinos Balaskas; Nikolas Pontikos

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):2409.

ARVO Annual Meeting Abstract June 2024

The SD-OCT correlates of fundus autofluorescence in geographic atrophy: a comprehensive point-to-point analysis of fundus autofluorescence with SD-OCT using phase 3 trials DERBY and OAKS.

Konstantinos Balaskas; Bart Liefers; Robbert Struyven; siegfried wagner; Sophie Glinton; Gongyu Zhang; Livia Faes; Veronika Lipkova; Gunjan Naik; Pallavi Bagga; Praveen J Patel; Alex McKeown; Lukas Scheibler; Christine A Curcio; Dun Jack Fu

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):449.

ARVO Annual Meeting Abstract June 2024

AI-based qOCT analysis of phase 3 trials OAKS & DERBY data on the effect of pegcetacoplan on geographic atrophy

Pallavi Bagga; Dun Jack Fu; Bart Liefers; Robbert Struyven; Siegfried Wagner; Sophie Glinton; Gongyu Zhang; Livia Faes; Veronika Lipkova; Gunjan Naik; Praveen J Patel; Alex McKeown; Lukas Scheibler; Nikolas Pontikos; Ismail Moghul; Konstantinos Balaskas

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):3262.

ARVO Annual Meeting Abstract June 2022

Development and external validation of a novel automatic segmentation model for detection and quantification of geographic atrophy from optical coherence tomography imaging

Dun Jack Fu; Tiarnan D L Keenan; Sophie Glinton; Livia Faes; Siegfried Wagner; Alex McKeown; Gongyu Zhang; Bart Liefers; Praveen Patel; Pearse Andrew Keane; Konstantinos Balaskas

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):2054 – F0043.

Articles December 2020

Development of a Corneal Bioluminescence Mouse for Real-Time In Vivo Evaluation of Gene Therapies

PDF

Dun Jack Fu; Edwin H. A. Allen; Robyn P. Hickerson; Deena M. Leslie Pedrioli; W. H. Irwin McLean

Trans. Vis. Sci. Tech.. 2020; 9(13):44. https://doi.org/10.1167/tvst.9.13.44

ARVO Annual Meeting Abstract June 2020

Quantitative analysis of change in retinal tissues in neovascular age-related macular degeneration using artificial intelligence

Reena Chopra; Gabriella Moraes; Dun Jack Fu; Siegfried Wagner; Terry Spitz; Marc Wilson; Jason Yim; Jim Winkens; Jeffrey De Fauw; Joseph R Ledsam; Christopher J Kelly; Tiarnan D L Keenan; Praveen J Patel; Konstantinos Balaskas; Pearse Andrew Keane

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):1152.

ARVO Annual Meeting Abstract June 2020

Automatic segmentation using artificial intelligence of baseline anatomical parameters of patients starting anti-VEGF injections for neovascular age-related macular degeneration

Gabriella Moraes; Reena Chopra; Dun Jack Fu; Siegfried Wagner; Terry Spitz; Marc Wilson; Jason Yim; Jim Winkens; Jeffrey De Fauw; Joseph R Ledsam; Christopher J Kelly; Tiarnan D L Keenan; Praveen J Patel; Konstantinos Balaskas; Pearse Keane

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):1633.

ARVO Annual Meeting Abstract June 2020

Clinical flow of patients referred from the UK national diabetes eye screening programme through a pathway with virtual clinics

Dun Jack Fu; Livia Faes; Josef Huemer; Christoph Kern; Amanda Charnley; Sandro Fasolo; Pearse Keane; Dawn A Sim

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):4230.

ARVO Annual Meeting Abstract June 2020

Anatomical changes influencing treatment outcome in neovascular age related macular degeneration over ten-years follow up

Mohammed Aamir Ismailjee; Cristina Arpa; Hagar Khalid; Dun Jack Fu; Giovanni Montesano; Reena Chopra; Livia Faes; Gabriella Moraes; Siegfried Wagner; daniel Araujo ferraz; Konstantinos Balaskas; Pearse Andrew Keane

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):4232.

ARVO Annual Meeting Abstract June 2020

Making telemedicine services a reality in eye care, cloud-based referral platform in ophthalmology – 2 years on.

Dawn A Sim; Dun Jack Fu; Josef Huemer; Tom McKinnon

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):5315.

ARVO Annual Meeting Abstract June 2020

Optimising Treatment of Neovascular Age-related Macular Degeneration using Reinforcement Learning

Gongyu Zhang; Zeyu Guan; Edward Korot; Reena Chopra; Gabriella Moraes; Siegfried Wagner; Livia Faes; Dun Jack Fu; Hagar Khalid; daniel Araujo ferraz; Konstantinos Balaskas; Daniel Alexander; Pearse Andrew Keane

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):1628.

ARVO Annual Meeting Abstract June 2020

AI building AI: Deep Learning Detection of Referable Diabetic Retinopathy Sans-coding

Edward Korot; Siegfried Wagner; Livia Faes; Dun Jack Fu; Xiaoxuan Liu; Daniel Ferraz; Hagar Khalid; Reena Chopra; Gabriella Moraes; Gongyu Zhang; Zeyu Guan; Konstantinos Balaskas; Pearse Andrew Keane

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):2025.

ARVO Annual Meeting Abstract June 2020

Ten-year visual outcomes in patients with treated neovascular age related macular degeneration receiving anti-VEGF therapy

Noha Soliman; Cristina Arpa; Hagar Khalid; Dun Jack Fu; Giovanni Montesano; Reena Chopra; Livia Faes; Gabriella Moraes; Siegfried Wagner; Daniel Ferraz; Zeyu Guan; Konstantinos Balaskas; Pearse Keane

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):4231.

Special Issue February 2020

A Clinician's Guide to Artificial Intelligence: How to Critically Appraise Machine Learning Studies

PDF

Livia Faes; Xiaoxuan Liu; Siegfried K. Wagner; Dun Jack Fu; Konstantinos Balaskas; Dawn A. Sim; Lucas M. Bachmann; Pearse A. Keane; Alastair K. Denniston
TAGS: artificial intelligence, datasets, machine learning
Trans. Vis. Sci. Tech.. 2020; 9(2):7. https://doi.org/10.1167/tvst.9.2.7

1 2

Next 20 Results »

NARROW

Content Type

Journal

Article Type

Topics

Tags

Specify Date Range

Association of calcium channel blockers use with visual field progression in glaucoma clinics

A deep-learning approach to identifying quantitative OCT biomarkers predictive of visual deficit measured by microperimetry at 24 months in the OAKS trial

Association of Mesopic Visual Sensitivities with automatically segmented Retinal Pigment Epithelium and Outer Retinal Atrophy (RORA) on Ocular Coherence Tomography (OCT)

AutoMorph Optimization for Enhanced Retinal Vessel Analysis in Premature Infants

Extending Eye2Gene to Quantify the Phenotypic Diversity and Similarity of 63 Inherited Retinal Diseases using an Embedding Approach

Validation of polygenic risk score in age-related macular degeneration prognosis: a pilot study

EyeSAM: Unveiling the Potential of Segment Anything Model in Ophthalmic Image Segmentation

The SD-OCT correlates of fundus autofluorescence in geographic atrophy: a comprehensive point-to-point analysis of fundus autofluorescence with SD-OCT using phase 3 trials DERBY and OAKS.

AI-based qOCT analysis of phase 3 trials OAKS & DERBY data on the effect of pegcetacoplan on geographic atrophy

Development and external validation of a novel automatic segmentation model for detection and quantification of geographic atrophy from optical coherence tomography imaging

Development of a Corneal Bioluminescence Mouse for Real-Time In Vivo Evaluation of Gene Therapies

Quantitative analysis of change in retinal tissues in neovascular age-related macular degeneration using artificial intelligence

Automatic segmentation using artificial intelligence of baseline anatomical parameters of patients starting anti-VEGF injections for neovascular age-related macular degeneration

Clinical flow of patients referred from the UK national diabetes eye screening programme through a pathway with virtual clinics

Anatomical changes influencing treatment outcome in neovascular age related macular degeneration over ten-years follow up

Making telemedicine services a reality in eye care, cloud-based referral platform in ophthalmology – 2 years on.

Optimising Treatment of Neovascular Age-related Macular Degeneration using Reinforcement Learning

AI building AI: Deep Learning Detection of Referable Diabetic Retinopathy Sans-coding

Ten-year visual outcomes in patients with treated neovascular age related macular degeneration receiving anti-VEGF therapy

A Clinician's Guide to Artificial Intelligence: How to Critically Appraise Machine Learning Studies

To View More...

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