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ARVO Annual Meeting Abstract June 2024

Evaluating RETFound for out-of-domain generalization in multi-disease detection from color fundus photographs

Sarah Matta; Mathieu Lamard; Alexandre Le Guilcher; Laurent Borderie; Pascale Massin; Jean-Bernard Rottier; Béatrice Cochener; Gwenolé Quellec

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):2336.

ARVO Annual Meeting Abstract June 2024

Automatic disease screening in anisotropic OCT volumes

Philippe Zhang; Gwenolé Quellec; Sarah Matta; Laurent Borderie; Alexandre Le Guilcher; Béatrice Cochener; Mathieu Lamard

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):3738.

ARVO Annual Meeting Abstract June 2024

Time-Series Video Analysis for Precise Tear Break-Up Time Estimation in Dry Eye Disease

Fatima-Zahra EL BARCHE; Anas-Alexis Benyoussef; Gwenolé Quellec; Béatrice Cochener; Mathieu Lamard

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):5749.

ARVO Annual Meeting Abstract June 2024

Predicting Cataract Surgery Errors via Artificial Intelligence Alert Generation

Maxime Faure; Pierre-Henri Conze; Béatrice Cochener; Mathieu Lamard; Gwenolé Quellec

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):2375.

ARVO Annual Meeting Abstract June 2024

Cross-Device AI Fusion: Enhancing Diabetic Retinopathy Diagnosis with Combined Clarus and Optos Images

Mostafa EL HABIB DAHO; Yihao Li; Rachid Zeghlache; Alireza Rezaei; Hugo Le Boité; Aude Couturier; Sophie Bonnin; Stéphanie Magazzeni; Alexandre Le Guilcher; François Potevin; Mathias Gallardo; Ramin Tadayoni; Béatrice Cochener; Pierre-Henri Conze; Mathieu Lamard; gwenole Quellec

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):5630.

ARVO Annual Meeting Abstract June 2023

Time-aware deep models for predicting diabetic retinopathy progression

Rachid zeghlache; Pierre-henri Conze; Mostafa EL HABIB DAHO; YIHAO LI; Ikram Brahim; Hugo Le Boité; Pascale Massin; Ramin Tadayoni; Béatrice Cochener; Gwenole Quellec; Mathieu Lamard

Invest. Ophthalmol. Vis. Sci.. 2023; 64(8):246.

ARVO Annual Meeting Abstract June 2023

Impact of training data diversity on the generality of automated diabetic retinopathy screening in fundus photographs

Sarah Matta; Mathieu Lamard; Clément Lecat; Laurent Borderie; Pascale Massin; Béatrice Cochener; Alexandre Le Guilcher; Gwenole Quellec

Invest. Ophthalmol. Vis. Sci.. 2023; 64(8):222.

ARVO Annual Meeting Abstract June 2023

Artificial intelligence for tear film break-up time quantification: A dual-task siamese network approach

Fatima-Zahra EL BARCHE; Anas-Alexis Benyoussef; Mostafa EL HABIB DAHO; Corentin LE CAMUS; François CORTEVAL; Béatrice Cochener; Mathieu Lamard

Invest. Ophthalmol. Vis. Sci.. 2023; 64(8):705.

ARVO Annual Meeting Abstract June 2023

3-D analysis of multiple OCTA acquisitions for the automatic diagnosis of diabetic retinopathy

YIHAO LI; Mostafa EL HABIB DAHO; Pierre-henri Conze; Rachid zeghlache; Hugang Ren; Capucine Lepicard; Pierre Deman; Alexandre Le Guilcher; Béatrice Cochener; Ramin Tadayoni; Mathieu Lamard; Gwenole Quellec

Invest. Ophthalmol. Vis. Sci.. 2023; 64(8):279.

ARVO Annual Meeting Abstract June 2023

Performance of two ultra-widefield retinal imaging systems for the automatic diagnosis of diabetic retinopathy

Mostafa EL HABIB DAHO; Rachid zeghlache; YIHAO LI; Hugo Le Boité; Sophie Bonnin; Stephanie Magazzeni; Laurent Borderie; Bruno Lay; Ramin Tadayoni; Béatrice Cochener; Pierre-henri Conze; Mathieu Lamard; Gwenole Quellec

Invest. Ophthalmol. Vis. Sci.. 2023; 64(8):251.

ARVO Annual Meeting Abstract June 2020

Evaluation of an automatic screening system for detecting retinal pathologies

Mathieu Lamard; Jean-Bernard Rottier; Béatrice Cochener; Pascale Massin; Gwenole Quellec; Sarah Christina Zahida Matta

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):1640.

ARVO Annual Meeting Abstract June 2020

Automatic detection of multiple pathologies in fundus photographs

Gwenole Quellec; Mathieu Lamard; Pierre-Henri Conze; Pascale Massin; Béatrice Cochener

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):1641.

ARVO Annual Meeting Abstract June 2020

Using Artificial Intelligence to detect glaucoma and Age related Macula Degeneration

Bruno Lay; Ronan DANNO; Gwenole Quellec; Mathieu Lamard; Béatrice Cochener; Ali Erginay; Pascale Massin; ALEXANDRE LE GUILCHER

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):1647.

ARVO Annual Meeting Abstract June 2020

Development of an automatic Normal Vs Abnormal fundus photograph classifier in a diabetic retinopathy screening network

Sarah Matta; Mathieu Lamard; Pascale Massin; Gwenole Quellec; Béatrice Cochener

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):1651.

ARVO Annual Meeting Abstract July 2019

RetinOpTIC - Automatic Evaluation of Diabetic Retinopathy

Bruno Lay; Ronan Danno; Gwenole Quellec; Etienne Decenciere; Ali Erginay; Pascale Massin; Alexandre LE GUILCHER; Mathieu Lamard; Beatrice Cochener; Robin Alais

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):5312.

ARVO Annual Meeting Abstract July 2018

Retinal pathology screening with a multi-image convolutional neural network

Benoit HIJAZI; Gwenolé Quellec; Ali Erginay; Mathieu Lamard; Beatrice Cochener

Invest. Ophthalmol. Vis. Sci.. 2018; 59(9):1726.

ARVO Annual Meeting Abstract September 2016

Topical ocular ciclosporin 1 mg/mL cationic emulsion in patients with dry eye with severe keratitis: Experience through the French early access program

Serge Doan; Pierre-Jean Pisella; Beatrice Cochener; Mourad Amrane; Dahlia Ismail; Christophe Baudouin; Marc Labetoulle

Invest. Ophthalmol. Vis. Sci.. 2016; 57(12):2876.

ARVO Annual Meeting Abstract September 2016

3D CINEMA AND VISUAL DISCOMFORT

Christine TANGUY; Charlotte HUGNY LARROQUE; Stephanie FERRAGUT; Mathieu Lamard; Beatrice Cochener

Invest. Ophthalmol. Vis. Sci.. 2016; 57(12):3966.

ARVO Annual Meeting Abstract September 2016

Suitability of a low-cost, handheld, non-mydriatic retinograph for diabetic retinopathy diagnosis

Beatrice COCHENER

Invest. Ophthalmol. Vis. Sci.. 2016; 57(12):6319.

Articles April 2016

Suitability of a Low-Cost, Handheld, Nonmydriatic Retinograph for Diabetic Retinopathy Diagnosis

PDF

Gwenolé Quellec; Loïc Bazin; Guy Cazuguel; Ivan Delafoy; Béatrice Cochener; Mathieu Lamard
TAGS: diabetic retinopathy, eye, image quality, mobile devices
Trans. Vis. Sci. Tech.. 2016; 5(2):16. https://doi.org/10.1167/tvst.5.2.16

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Evaluating RETFound for out-of-domain generalization in multi-disease detection from color fundus photographs

Automatic disease screening in anisotropic OCT volumes

Time-Series Video Analysis for Precise Tear Break-Up Time Estimation in Dry Eye Disease

Predicting Cataract Surgery Errors via Artificial Intelligence Alert Generation

Cross-Device AI Fusion: Enhancing Diabetic Retinopathy Diagnosis with Combined Clarus and Optos Images

Time-aware deep models for predicting diabetic retinopathy progression

Impact of training data diversity on the generality of automated diabetic retinopathy screening in fundus photographs

Artificial intelligence for tear film break-up time quantification: A dual-task siamese network approach

3-D analysis of multiple OCTA acquisitions for the automatic diagnosis of diabetic retinopathy

Performance of two ultra-widefield retinal imaging systems for the automatic diagnosis of diabetic retinopathy

Evaluation of an automatic screening system for detecting retinal pathologies

Automatic detection of multiple pathologies in fundus photographs

Using Artificial Intelligence to detect glaucoma and Age related Macula Degeneration

Development of an automatic Normal Vs Abnormal fundus photograph classifier in a diabetic retinopathy screening network

RetinOpTIC - Automatic Evaluation of Diabetic Retinopathy

Retinal pathology screening with a multi-image convolutional neural network

Topical ocular ciclosporin 1 mg/mL cationic emulsion in patients with dry eye with severe keratitis: Experience through the French early access program

3D CINEMA AND VISUAL DISCOMFORT

Suitability of a low-cost, handheld, non-mydriatic retinograph for diabetic retinopathy diagnosis

Suitability of a Low-Cost, Handheld, Nonmydriatic Retinograph for Diabetic Retinopathy Diagnosis

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