“Yes, but will it work for my patients?” Driving clinically relevant research with benchmark datasets

por Trishan Panch, Tom J. Pollard, Heather Mattie, Emily Lindemer, Pearse A. Keane, Leo Anthony Celi
Publicado 2020

Predicting sex from retinal fundus photographs using automated deep learning

por Edward Korot, Nikolas Pontikos, Xiaoxuan Liu, Siegfried K. Wagner, Livia Faes, Josef Huemer, Konstantinos Balaskas, Alastair K. Denniston, Anthony Khawaja, Pearse A. Keane
Publicado 2021

Automated quantification of posterior vitreous inflammation: optical coherence tomography scan number requirements

por Jan Henrik Terheyden, Giovanni Ometto, Giovanni Montesano, Maximilian W. M. Wintergerst, Magdalena Langner, Xiaoxuan Liu, Pearse A. Keane, David P. Crabb, Alastair K. Denniston, Robert P. Finger
Publicado 2021

Predicting optical coherence tomography-derived diabetic macular edema grades from fundus photographs using deep learning

por Avinash V. Varadarajan, Pinal Bavishi, Paisan Ruamviboonsuk, Peranut Chotcomwongse, Subhashini Venugopalan, Arunachalam Narayanaswamy, Jorge Cuadros, Kuniyoshi Kanai, George Bresnick, Mongkol Tadarati, Sukhum Silpa-archa, Jirawut Limwattanayingyong, Variya Nganthavee, Joseph R. Ledsam, Pearse A. Keane, Greg S. Corrado, Lily Peng, Dale R. Webster
Publicado 2020