Neil R. Miller
ORCID: 0009-0005-8242-3326Also affiliated with Johns Hopkins Medicine, Johns Hopkins Hospital
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 9 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
Zara Mehrabian, Mary A. Johnson, Neil R. Miller, Amanda D. Henderson, John M. Hamlyn +2 more
Zhaoyang Jia, Joey Estabrook, Jen Hauenstein, Neil R. Miller, Naz Güleray-Lafci +7 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
Yan Guo, Zara Mehrabian, Neil R. Miller, Steven L. Bernstein, Kwang Min Woo
Yan Guo, Zara Mehrabian, Thomas Walther, Neil R. Miller, Steven L. Bernstein +1 more
Zhaoyang Jia, Joey Estabrook, Jen Hauenstein, Neil R. Miller, Naz Güleray-Lafci +7 more
Yan Guo, Neil R. Miller, Amanda D. Henderson, Steven Roth, Steven L. Bernstein +1 more
Raymond P. Najjar, Zhiqun Tang, Mung Yan Lin, David W. Wright, Matthew Keadey +73 more