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ARVO Imaging in the Eye Conference Abstract July 2024

Enhancing the Analysis, Evaluation, Evolution, and Prognosis of AMD Atrophy Complication: A Comprehensive Study Utilizing OCT and Automatic OCT Segmentation

Corinne Gonzalez; Sandro DE ZANET

Invest. Ophthalmol. Vis. Sci.. 2024; 65(9):PB0085.

ARVO Annual Meeting Abstract June 2024

Correlations between GA lesions in FAF and morphological outer retinal changes in OCT

Anastasiia Mishchuk; Joseph Blair; Marion Ronit Munk; Irmela Mantel; Carlos Ciller; Stefanos Apostolopoulos; Sandro De Zanet

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):2277.

ARVO Annual Meeting Abstract June 2024

On the Edge: Quantitative Analysis of Retinal Layer Thickness Surrounding Geographic Atrophy Lesions Using OCT

Joseph Blair; Zhichao Wu; Romina Lasagni Vitar; Anastasiia Mishchuk; Lauren Hodgson; Robyn H Guymer; Sandro De Zanet

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):5474.

ARVO Annual Meeting Abstract June 2024

Impact of Fluid Volume Fluctuations assessed by Artificial Intelligence on Visual Outcomes during Anti-VEGF Therapy in nAMD Eyes in the real world: FRB SPAIN-IMAGE project

Carolina Bernal-Morales; Ruben Martin-Pinardel; Jordi Izquierdo-Serra; Sandro De Zanet; Alba Parrado-Carrillo; Gonzaga Garay-Aramburu; Martín Puzo; Carolina Arruabarrena; Laura Sararols-Ramsay; Maximino Abraldes; Jose Juan Escobar-Barranco; Marta S. Figueroa; Miguel Zapata; Carlos Ciller; Ricardo Pedro Casaroli-Marano; Javier Zarranz-Ventura

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):4361.

ARVO Annual Meeting Abstract June 2024

Geographic atrophy progression in routine clinical practice: before and after pegcetacoplan treatment

Jessica Anning Cao; Calvin Wayne Wong; Sandro De Zanet; Natasa Jovic; Patrick Steiner; Sagar Patel; Mathew W MacCumber; David M Brown; Charles Clifton Wykoff

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):4396.

Telemedicine November 2023

Development of LuxIA, a Cloud-Based AI Diabetic Retinopathy Screening Tool Using a Single Color Fundus Image

PDF

Joseph P. M. Blair; Jose Natan Rodriguez; Romina M. Lasagni Vitar; Marc A. Stadelmann; Rodrigo Abreu-González; Juan Donate; Carlos Ciller; Stefanos Apostolopoulos; Carlos Bermudez; Sandro De Zanet
TAGS: color, datasets, diabetic retinopathy screening, screening, training, diabetes mellitus, specialism
Trans. Vis. Sci. Tech.. 2023; 12(11):38. https://doi.org/10.1167/tvst.12.11.38

Includes: Supplemental Content

ARVO Annual Meeting Abstract June 2023

Multicenter study to validate an artificial intelligence algorithm for the screening of diabetic retinopathy: the CARDS study

Juan Donate-Lopez; Gabriela Susanna González-Bueno; Jose Natan Rodriguez-Martin; Joseph Blair; Sandro De Zanet; José Julio Rodrigo-Bello; Carlos Bermudez-Perez; Rodrigo Abreu

Invest. Ophthalmol. Vis. Sci.. 2023; 64(8):239.

ARVO Annual Meeting Abstract June 2023

Comparison of a Deep Learning based OCT image segmentation algorithm to manual segmentation by a traditional reading center for patients with wet AMD

Sparkle Russell-Puleri; Sara L Gale; Dzmitry A. Kaliukhovich; Joseph Blair; Romina Lasagni; Sandro De Zanet; Najat Khan; Daniel L Chao; Tripthi Kamath; Natasa Jovic; Anthony Pepio; H. Nida Sen

Invest. Ophthalmol. Vis. Sci.. 2023; 64(8):316.

ARVO Annual Meeting Abstract June 2023

Biomarker assessment for CNV development prediction in multifocal choroiditis (MFC) and punctate inner choroidopathy (PIC): A large, longitudinal, multicenter study on patients with MFC and PIC using an artificial intelligence-based OCT fluid and biomarker detector

Lorenzo Ferro Desideri; Mathias Gallardo; Muriel Ott; Ariel Schlaen; Debra Goldstein; H Nida Sen; Maurizio Battaglia Parodi; Vita S Dingerkus; Yael Sharon; Michal Kramer; Siqing Yu; Sandro De Zanet; Marion Ronit Munk

Invest. Ophthalmol. Vis. Sci.. 2023; 64(8):314.

ARVO Annual Meeting Abstract June 2023

Relationship between hyperreflective foci, subretinal hyperreflective material/fibrosis and retinal morphologies in patients with AMD

Anastasiia Mishchuk; Joseph Blair; Marion Ronit Munk; Irmela Mantel; Carlos Ciller; Stefanos Apostolopoulos; Sandro De Zanet

Invest. Ophthalmol. Vis. Sci.. 2023; 64(8):1114.

ARVO Annual Meeting Abstract June 2023

Quantification of layer thicknesses in a-scans shows differences in presence of geographic atrophy

Joseph Blair; Anastasiia Mishchuk; Marc Andre Stadelmann; Irmela Mantel; Carlos Ciller; Stefanos Apostolopoulos; Sandro De Zanet

Invest. Ophthalmol. Vis. Sci.. 2023; 64(8):1113.

ARVO Annual Meeting Abstract June 2022

Coherence analysis between an artificial intelligence algorithm and human experts in diabetic retinopathy screening

Rodrigo Abreu; Jose Natan Rodriguez-Martin; Juan Donate-Lopez; Joseph Blair; Sandro De Zanet; Jose Julio Rodrigo; Carlos Bermúdez-Pérez

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):2110 – F0099.

ARVO Annual Meeting Abstract June 2022

Evaluating an OCT-based Algorithm of Central Subfield Thickness Estimation on AMD and DME patients

Mathias Gallardo; Oussama Habra; Till Meyer zu Westram; Sandro De Zanet; Sebastian Wolf; Raphael Sznitman; Martin Sebastian Zinkernagel

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):2993 – F0263.

Articles November 2021

Personalized Atrophy Risk Mapping in Age-Related Macular Degeneration

PDF

Anthony Gigon; Agata Mosinska; Andrea Montesel; Yasmine Derradji; Stefanos Apostolopoulos; Carlos Ciller; Sandro De Zanet; Irmela Mantel
TAGS: atrophy, age-related macular degeneration
Trans. Vis. Sci. Tech.. 2021; 10(13):18. https://doi.org/10.1167/tvst.10.13.18

Includes: Supplemental Content

ARVO Annual Meeting Abstract June 2021

Longitudinal analysis of Retinal Pigment Epithelium Atrophy progression using automated segmentation algorithm

Agata Mosinska; Marc Stadelmann; Andrea Montesel; Anthony Gigon; Stefanos Apostolopoulos; Carlos Ciller; Irmela Mantel; Sandro De Zanet

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):2453.

ARVO Annual Meeting Abstract June 2021

Automated fovea and optic disc detection in the presence of occlusions in Fundus SLO Images

Marc Stadelmann; Agata Mosinska; Mathias Gallardo; Raphael Sznitman; Marion Munk; Stefanos Apostolopoulos; Carlos Ciller; Sandro De Zanet

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):109.

Articles April 2021

Automated Quantification of Pathological Fluids in Neovascular Age-Related Macular Degeneration, and Its Repeatability Using Deep Learning

PDF

Irmela Mantel; Agata Mosinska; Ciara Bergin; Maria Sole Polito; Jacopo Guidotti; Stefanos Apostolopoulos; Carlos Ciller; Sandro De Zanet
TAGS: body fluid, datasets, deep learning, exudative age-related macular degeneration, volume, training, spectral domain-optical coherence tomography, pixel
Trans. Vis. Sci. Tech.. 2021; 10(4):17. https://doi.org/10.1167/tvst.10.4.17

Includes: Supplemental Content

ARVO Annual Meeting Abstract June 2020

Machine learning to predict anti-VEGF treatment response in a Treat-and-Extend regimen (TER).

Mathias Gallardo; Marion Munk; Thomas Kurmann; Sandro De Zanet; Agata Mosinska; Mark van Grinsven; Clara I Sanchez; Martin Sebastian Zinkernagel; Sebastian Wolf; Raphael Sznitman

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):1629.

ARVO Annual Meeting Abstract June 2020

Estimating Uncertainty of Deep Neural Networks for Age-related Macular Degeneration Grading using Optical Coherence Tomography

Coen de Vente; Mark van Grinsven; carlos ciller; Sandro De Zanet; Agata Mosinska; Raphael Sznitman; Caroline Klaver; Clara I Sanchez

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):1630.

ARVO Annual Meeting Abstract June 2020

Automated detection and quantification of pathological fluid in neovascular age-related macular degeneration using a deep learning approach

Sandro De Zanet; Agata Mosinska; Ciara Bergin; Maria Sole Polito; Jacopo Guidotti; Stefanos Apostolopoulos; carlos ciller; Irmela Mantel

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):1655.

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Enhancing the Analysis, Evaluation, Evolution, and Prognosis of AMD Atrophy Complication: A Comprehensive Study Utilizing OCT and Automatic OCT Segmentation

Correlations between GA lesions in FAF and morphological outer retinal changes in OCT

On the Edge: Quantitative Analysis of Retinal Layer Thickness Surrounding Geographic Atrophy Lesions Using OCT

Impact of Fluid Volume Fluctuations assessed by Artificial Intelligence on Visual Outcomes during Anti-VEGF Therapy in nAMD Eyes in the real world: FRB SPAIN-IMAGE project

Geographic atrophy progression in routine clinical practice: before and after pegcetacoplan treatment

Development of LuxIA, a Cloud-Based AI Diabetic Retinopathy Screening Tool Using a Single Color Fundus Image

Multicenter study to validate an artificial intelligence algorithm for the screening of diabetic retinopathy: the CARDS study

Comparison of a Deep Learning based OCT image segmentation algorithm to manual segmentation by a traditional reading center for patients with wet AMD

Biomarker assessment for CNV development prediction in multifocal choroiditis (MFC) and punctate inner choroidopathy (PIC): A large, longitudinal, multicenter study on patients with MFC and PIC using an artificial intelligence-based OCT fluid and biomarker detector

Relationship between hyperreflective foci, subretinal hyperreflective material/fibrosis and retinal morphologies in patients with AMD

Quantification of layer thicknesses in a-scans shows differences in presence of geographic atrophy

Coherence analysis between an artificial intelligence algorithm and human experts in diabetic retinopathy screening

Evaluating an OCT-based Algorithm of Central Subfield Thickness Estimation on AMD and DME patients

Personalized Atrophy Risk Mapping in Age-Related Macular Degeneration

Longitudinal analysis of Retinal Pigment Epithelium Atrophy progression using automated segmentation algorithm

Automated fovea and optic disc detection in the presence of occlusions in Fundus SLO Images

Automated Quantification of Pathological Fluids in Neovascular Age-Related Macular Degeneration, and Its Repeatability Using Deep Learning

Machine learning to predict anti-VEGF treatment response in a Treat-and-Extend regimen (TER).

Estimating Uncertainty of Deep Neural Networks for Age-related Macular Degeneration Grading using Optical Coherence Tomography

Automated detection and quantification of pathological fluid in neovascular age-related macular degeneration using a deep learning approach

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