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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. doi:

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. doi:

Articles November 2021

Personalized Atrophy Risk Mapping in Age-Related Macular Degeneration

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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. doi: 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. doi:

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. doi:

Articles April 2021

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

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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. doi: https://doi.org/10.1167/tvst.10.4.17

Includes: Supplemental Content

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. doi:

ARVO Annual Meeting Abstract June 2020

Evaluation of Retinal Pigment Epithelium Atrophy in Age-Related Macular Degeneration: an Artificial Intelligence approach based on Optical Coherence Tomography

Yasmine Derradji; Agata Mosinska; Sandro De Zanet; Stefanos Apostolopoulos; carlos ciller; Mantel Irmela

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):2015. doi:

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. doi:

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. doi:

Articles May 2019

Comparison of Choroidal Thickness Measurements Using Spectral Domain Optical Coherence Tomography in Six Different Settings and With Customized Automated Segmentation Software

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Helena Giannakaki-Zimmermann; Wolfgang Huf; Karen B. Schaal; Kaspar Schürch; Chantal Dysli; Muriel Dysli; Anita Zenger; Lala Ceklic; Carlos Ciller; Stephanos Apostolopoulos; Sandro De Zanet; Raphael Sznitman; Andreas Ebneter; Martin S. Zinkernagel; Sebastian Wolf; Marion R. Munk; on behalf of the Bern Photographic Reading Center
TAGS: software, spectral domain-optical coherence tomography, color, diagnostic imaging
Trans. Vis. Sci. Tech.. 2019; 8(3):5. doi: https://doi.org/10.1167/tvst.8.3.5

Includes: Supplemental Content

ARVO Annual Meeting Abstract June 2017

RetiNet: Automatic AMD identification in OCT volumetric data

Stefanos Apostolopoulos; Carlos Ciller; Sandro De Zanet; Sebastian Wolf; Raphael Sznitman

Invest. Ophthalmol. Vis. Sci.. 2017; 58(8):387. doi:

ARVO Annual Meeting Abstract June 2017

Automatic Segmentation of Retinoblastoma in Fundus Image Photography using Convolutional Neural Networks

Carlos Ciller; Sandro Ivo S. De Zanet; Stefanos Apostolopoulos; Francis L Munier; Sebastian Wolf; Jean-Philippe Thiran; Meritxell Bach Cuadra; Raphael Sznitman

Invest. Ophthalmol. Vis. Sci.. 2017; 58(8):3332. doi:

ARVO Annual Meeting Abstract April 2014

Fusion of fundus images and MRI data of the human eye

Sandro Ivo De Zanet; Carlos Ciller; Philippe Maeder; Francis L Munier; Jens Horst Kowal

Invest. Ophthalmol. Vis. Sci.. 2014; 55(13):5846. doi:

ARVO Annual Meeting Abstract April 2014

Automatic magnetic resonance imaging segmentation of the eye based on 3D Active Shape Models

Carlos Ciller; Sandro Ivo De Zanet; Alessia Pica; Jean-Philippe Thiran; Philippe Maeder; Francis L Munier; Jens Horst Kowal; Meritxell Bach Cuadra

Invest. Ophthalmol. Vis. Sci.. 2014; 55(13):5848. doi:

ARVO Annual Meeting Abstract June 2013

A fast auto-focus for digital slit lamp imaging

Tobias Rudolph; Stephan Wyder; Sandro De Zanet; Sebastian Wolf; Jens Kowal

Invest. Ophthalmol. Vis. Sci.. 2013; 54(15):1516. doi:

ARVO Annual Meeting Abstract June 2013

Evaluation of Feature Detectors and Descriptors on the Iris

Sandro De Zanet; Michael Rueegsegger; Tobias Rudolph; Sebastian Wolf; Jens Kowal

Invest. Ophthalmol. Vis. Sci.. 2013; 54(15):5412. doi:

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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

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

Evaluation of Retinal Pigment Epithelium Atrophy in Age-Related Macular Degeneration: an Artificial Intelligence approach based on Optical Coherence Tomography

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

Comparison of Choroidal Thickness Measurements Using Spectral Domain Optical Coherence Tomography in Six Different Settings and With Customized Automated Segmentation Software

RetiNet: Automatic AMD identification in OCT volumetric data

Automatic Segmentation of Retinoblastoma in Fundus Image Photography using Convolutional Neural Networks

Fusion of fundus images and MRI data of the human eye

Automatic magnetic resonance imaging segmentation of the eye based on 3D Active Shape Models

A fast auto-focus for digital slit lamp imaging

Evaluation of Feature Detectors and Descriptors on the Iris

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