Dan Miléa
ORCID: 0000-0002-6388-8639Also affiliated with Singapore Eye Research Institute, Fondation Ophtalmologique Adolphe de Rothschild, Duke-NUS Medical School, Fondation de Rothschild
Pilot corpus only
This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.
Indexed papers
Papers
Driven by 5 papers. Top paper: “Accuracy of a Deep Learning System for Classification of Papilledema Severity on Ocular Fundus Photographs”.
Raymond P. Najjar, Xinxing Xu, Zhiqun Tang, Jing Liang Loo, Shweta Singhal +64 more
Nancy J. Newman, Raymond P. Najjar, Caroline Vasseneix, Xinxing Xu, Daniel Ting +11 more
Hutan Ashrafian, Sherri Rose, Nigam H. Shah, Marzyeh Ghassemi, Robert Golub +35 more
Raymond P. Najjar, Zhiqun Tang, Mung Yan Lin, David W. Wright, Matthew Keadey +73 more
The BONSAI (Brain and Optic Nerve Study with Artificial Intelligence) deep learning system can accurately identify pediatric papilledema on standard ocular fundus photographs
Raymond P. Najjar, Zhiqun Tang, Daniela Cioplean, Mihaela Dragomir, Audrey Chia +73 more