Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Alexandre Le Guilcher"'
Autor:
Eric Vicaut, Ramin Tadayoni, Pascale Massin, Aude Couturier, Sophie Bonnin, Stéphanie Magazzeni, Bruno Lay, Alexandre Le Guilcher, Gwenolé Quellec, EviRed Investigators
Publikováno v:
BMJ Open, Vol 14, Iss 4 (2024)
Introduction An important obstacle in the fight against diabetic retinopathy (DR) is the use of a classification system based on old imaging techniques and insufficient data to accurately predict its evolution. New imaging techniques generate new val
Externí odkaz:
https://doaj.org/article/eb577c99e6aa4a3da5dfcfa4515461b7
Autor:
Sarah Matta, Mathieu Lamard, Pierre-Henri Conze, Alexandre Le Guilcher, Clément Lecat, Romuald Carette, Fabien Basset, Pascale Massin, Jean-Bernard Rottier, Béatrice Cochener, Gwenolé Quellec
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-11 (2023)
Abstract Independent validation studies of automatic diabetic retinopathy screening systems have recently shown a drop of screening performance on external data. Beyond diabetic retinopathy, this study investigates the generalizability of deep learni
Externí odkaz:
https://doaj.org/article/0e6b6823184e492089756a3fd60e2f5b
Autor:
Yihao Li, Mostafa El Habib Daho, Pierre-Henri Conze, Rachid Zeghlache, Hugo Le Boité, Sophie Bonnin, Deborah Cosette, Stephanie Magazzeni, Bruno Lay, Alexandre Le Guilcher, Ramin Tadayoni, Béatrice Cochener, Mathieu Lamard, Gwenolé Quellec
Publikováno v:
Diagnostics, Vol 13, Iss 17, p 2770 (2023)
Optical coherence tomography angiography (OCTA) can deliver enhanced diagnosis for diabetic retinopathy (DR). This study evaluated a deep learning (DL) algorithm for automatic DR severity assessment using high-resolution and ultra-widefield (UWF) OCT
Externí odkaz:
https://doaj.org/article/425ebe766038431b9d142efc946ffaaf
Autor:
Xavier Amatriain, Yogesh Balaji, Stefan Bekiranov, Vasileios Belagiannis, Anas-Alexis Benyoussef, Gustavo Carneiro, Manish Chablani, Cheng Chen, Hyun Jae Cho, Jingyuan Chou, Béatrice Cochener, Pierre-Henri Conze, Youssef Dawoud, Thanh-Toan Do, Qi Dou, Azade Farshad, Chi-Wing Fu, Abhijit Guha Roy, Pengfei Guo, Pheng-Ann Heng, Hieu Hoang, Shanshan Jiang, Yueming Jin, Anitha Kannan, Jieum Kim, Mathieu Lamard, Ngan Le, Patrick Le Callet, Alexandre Le Guilcher, Xiaomeng Li, Suiyi Ling, Quande Liu, Pascale Massin, Sarah Matta, Aryan Mobiny, Jacinto C. Nascimento, Nassir Navab, Cuong C. Nguyen, Hien Van Nguyen, Andreas Pastor, Vishal M. Patel, Angshuman Paul, Sebastian Pölsterl, Viraj Prabhu, Gwenolé Quellec, Murali Ravuri, Vincent Ricquebourg, Jean-Bernard Rottier, Swami Sankaranarayanan, Thomas C. Shen, Shayan Siddiqui, David Sontag, Ronald M. Summers, Qiuling Suo, Yu-Xing Tang, Minh-Triet Tran, Viet-Khoa Vo-Ho, Christian Wachinger, Puyang Wang, Lei Xing, Kashu Yamazaki, Yousef Yeganeh, Lequan Yu, Pengyu Yuan, Chongzhi Zang, Aidong Zhang, Jinyuan Zhou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::916d13d8d88bbe77a0b12610fd47b5b9
https://doi.org/10.1016/b978-0-32-399851-2.00006-5
https://doi.org/10.1016/b978-0-32-399851-2.00006-5
Autor:
Sarah Matta, Mathieu Lamard, Pierre-Henri Conze, Alexandre Le Guilcher, Vincent Ricquebourg, Anas-Alexis Benyoussef, Pascale Massin, Jean-Bernard Rottier, Béatrice Cochener, Gwenolé Quellec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::32728969dd3ebf9ccdf1b7651ef461e2
https://doi.org/10.1016/b978-0-32-399851-2.00025-9
https://doi.org/10.1016/b978-0-32-399851-2.00025-9
Autor:
Sarah Matta, Mathieu Lamard, Pierre-Henri Conze, Alexandre Le Guilcher, Vincent Ricquebourg, Anas-Alexis Benyoussef, Pascale Massin, Jean-Bernard Rottier, Béatrice Cochener, Gwenolé Quellec
Publikováno v:
Optometry and Vision Science
Optometry and Vision Science, Lippincott, Williams & Wilkins, 2021, ⟨10.1097/OPX.0000000000001845⟩
Optometry and Vision Science, Lippincott, Williams & Wilkins, 2021, ⟨10.1097/OPX.0000000000001845⟩
Screening for ocular anomalies using fundus photography is key to prevent vision impairment and blindness. With the growing and aging population, automated algorithms that can triage fundus photographs and provide instant referral decisions are relev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dfa560b81bd9a79fb184716b6bb0f1bd
https://pubmed.ncbi.nlm.nih.gov/34897234
https://pubmed.ncbi.nlm.nih.gov/34897234
Autor:
Bruno Laÿ, Ronan Danno, Gwenolé Quellec, Etienne Decencière, Ali Erginay, Pascale Massin, Alexandre Le Guilcher, Mathieu Lamard, Beatrice Cochener, Robin Alais
Publikováno v:
ARVO
ARVO, 2019, Vancouver, Canada
HAL
ARVO, 2019, Vancouver, Canada
HAL
International audience; Purpose: The RetinOpTIC project performs mass screening of color fundus images and assesses image quality and Diabetic Retinopathy (DR) grade. Algorithm performance is evaluated on the Messidor-2 image database.Methods: Based
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::af7552be4df07b70f6d043d53d2c1e57
https://hal-mines-paristech.archives-ouvertes.fr/hal-02428873
https://hal-mines-paristech.archives-ouvertes.fr/hal-02428873