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Clinical & Experimental Ophthalmology
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June 3, 2022
Automation of dry eye disease quantitative assessment: A review
Ikram Brahim, Mathieu Lamard, Anas-Alexis Benyoussef, et al.
Medical Image Analysis
|
May 17, 2017
Deep image mining for diabetic retinopathy screening
Gwenolé Quellec, Katia Charrière, Yassine Boudi, et al.
Medical Image Analysis
|
February 7, 2020
Automatic detection of rare pathologies in fundus photographs using few-shot learning
Gwenolé Quellec, Mathieu Lamard, Pierre-Henri Conze, et al.
Plos One
|
August 7, 2024
VMseg: Using spatial variance to automatically segment retinal non-perfusion on OCT-angiography
Hugo LE Boite, Aude Couturier, Ramin Tadayoni, et al.
Medical Image Analysis
|
May 21, 2018
Monitoring tool usage in surgery videos using boosted convolutional and recurrent neural networks
Hassan Al Hajj, Mathieu Lamard, Pierre-Henri Conze, et al.
Translational Vision Science & Technology
|
May 3, 2016
Suitability of a Low-Cost, Handheld, Nonmydriatic Retinograph for Diabetic Retinopathy Diagnosis
Gwenolé Quellec, Loïc Bazin, Guy Cazuguel, et al.
Medical Image Analysis
|
May 12, 2021
Towards improved breast mass detection using dual-view mammogram matching
Yutong Yan, Pierre-Henri Conze, Mathieu Lamard, et al.
Scientific Reports
|
August 18, 2025
Deep learning for retinal non-perfusion and foveal avascular zone analysis in wide-field OCTA in diabetic retinopathy
Hugo Le Boité, Sophie Bonnin, Mathias Gallardo, et al.
Medical Image Analysis
|
January 18, 2016
Automatic detection of referral patients due to retinal pathologies through data mining
Gwenolé Quellec, Mathieu Lamard, Ali Erginay, et al.
Journal of Affective Disorders
|
November 7, 2025
Acoustic and machine learning methods for speech-based suicide risk assessment: A systematic review
Ambre Marie, Marine Garnier, Thomas Bertin, et al.
Page
of 3
Search research articles
Search
Showing results (1-10 of 29) with videos related to
Sort By:
Page
of 3
Clinical & Experimental Ophthalmology
|
June 3, 2022
Automation of dry eye disease quantitative assessment: A review
Ikram Brahim, Mathieu Lamard, Anas-Alexis Benyoussef, et al.
Medical Image Analysis
|
May 17, 2017
Deep image mining for diabetic retinopathy screening
Gwenolé Quellec, Katia Charrière, Yassine Boudi, et al.
Medical Image Analysis
|
February 7, 2020
Automatic detection of rare pathologies in fundus photographs using few-shot learning
Gwenolé Quellec, Mathieu Lamard, Pierre-Henri Conze, et al.
Plos One
|
August 7, 2024
VMseg: Using spatial variance to automatically segment retinal non-perfusion on OCT-angiography
Hugo LE Boite, Aude Couturier, Ramin Tadayoni, et al.
Medical Image Analysis
|
May 21, 2018
Monitoring tool usage in surgery videos using boosted convolutional and recurrent neural networks
Hassan Al Hajj, Mathieu Lamard, Pierre-Henri Conze, et al.
Translational Vision Science & Technology
|
May 3, 2016
Suitability of a Low-Cost, Handheld, Nonmydriatic Retinograph for Diabetic Retinopathy Diagnosis
Gwenolé Quellec, Loïc Bazin, Guy Cazuguel, et al.
Medical Image Analysis
|
May 12, 2021
Towards improved breast mass detection using dual-view mammogram matching
Yutong Yan, Pierre-Henri Conze, Mathieu Lamard, et al.
Scientific Reports
|
August 18, 2025
Deep learning for retinal non-perfusion and foveal avascular zone analysis in wide-field OCTA in diabetic retinopathy
Hugo Le Boité, Sophie Bonnin, Mathias Gallardo, et al.
Medical Image Analysis
|
January 18, 2016
Automatic detection of referral patients due to retinal pathologies through data mining
Gwenolé Quellec, Mathieu Lamard, Ali Erginay, et al.
Journal of Affective Disorders
|
November 7, 2025
Acoustic and machine learning methods for speech-based suicide risk assessment: A systematic review
Ambre Marie, Marine Garnier, Thomas Bertin, et al.
Page
of 3