Tanyatuth Padungkiatsagul
ORCID: 0000-0002-5840-6172Also affiliated with Ramathibodi 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
John J. Chen, Panitha Jindahra, Tetsuya Akaishi, Toshiyuki Takahashi, Ichiro Nakashima +3 more
Zak Prime, William Xu, James McKelvie, Taras Papchenko, Tanyatuth Padungkiatsagul +3 more
Elias S. Sotirchos, Amanda D. Henderson, Eleni S. Vasileiou, Eoin P. Flanagan, M. Tariq Bhatti +20 more
Eoin P. Flanagan, M. Tariq Bhatti, Nanthaya Tisavipat, Sepideh Jamali, Amy Kunchok +19 more
Eoin P. Flanagan, Sean J. Pittock, Nicole Caroline Stern, Nanthaya Tisavipat, Muhammad Tariq Bhatti +35 more
Raymond P. Najjar, Zhiqun Tang, Mung Yan Lin, David W. Wright, Matthew Keadey +73 more
Loh-Shan Leung, Heather E. Moss, Tanyatuth Padungkiatsagul
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