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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 2024

Sjögren's Syndrome Diagnosis Using Dry Eye Clinical Data using Deep Learning

Mathieu Lamard; Anas-Alexis Benyoussef; Rachid Zeghlache; Divi Cornec; Ikram Brahim

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):5727.

ARVO Annual Meeting Abstract June 2023

Deep learning segmentation of retinal non-perfusion on OCTA

Hugo Le Boité; Mathieu Lamard; Mostafa EL HABIB DAHO; Ramin Tadayoni; Gwenole Quellec; Aude Couturier

Invest. Ophthalmol. Vis. Sci.. 2023; 64(8):OD87.

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 2022

Assessing generalization of an automatic diagnosis system of ocular anomalies

Sarah Matta; Mathieu Lamard; Clément Lecat; Romuald Carette; Fabien Basset; Alexandre Le Guilcher; Gwenole Quellec

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):2984 – F0254.

ARVO Annual Meeting Abstract June 2022

3-D style transfer between structure and flow channels in OCT angiography

Gwenole Quellec; Yihao Li; Hassan Al Hajj; Sophie Bonnin; Hugang Ren; Niranchana Manivannan; Stephanie Magazzeni; Ramin Tadayoni; Pierre-Henri Conze; Mathieu Lamard

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):2989 – F0259.

ARVO Annual Meeting Abstract June 2022

Multimodal information fusion for the diagnosis of diabetic retinopathy

YIHAO LI; Hassan Al Hajj; Pierre-Henri Conze; Sophie Bonnin; Hugang Ren; Niranchana Manivannan; Stephanie Magazzeni; Ramin Tadayoni; Mathieu Lamard; Gwenole Quellec

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):2988 – F0258.

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.

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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

Sjögren's Syndrome Diagnosis Using Dry Eye Clinical Data using Deep Learning

Deep learning segmentation of retinal non-perfusion on OCTA

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

Assessing generalization of an automatic diagnosis system of ocular anomalies

3-D style transfer between structure and flow channels in OCT angiography

Multimodal information fusion for the 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

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