Nathan Gaw

Also affiliated with Age UK, U.S. Air Force Institute of Technology

MedicineComputer ScienceNeuroscience

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.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 4 papers. Top paper: “Multi-Institutional Assessment and Crowdsourcing Evaluation of Deep Learning for Automated Classification of Breast Density”.

Multi-Institutional Assessment and Crowdsourcing Evaluation of Deep Learning for Automated Classification of Breast Density

Journal of the American College of Radiology(2020)10.1016/j.jacr.2020.05.015

N/A

0.593DataRank · unranked

51 citations

Andrew Beers, Laura Brink, Jay Patel, Praveer Singh, Nishanth Arun +11 more

Assessing the Trustworthiness of Saliency Maps for Localizing Abnormalities in Medical Imaging

Radiology Artificial Intelligence(2021)10.1148/ryai.2021200267

N/A

0DataRank · unranked

277 citations

Nathan Gaw, Praveer Singh, Ken Chang, Mehak Aggarwal, Bryan Chen +8 more

A Novel Semi-Supervised Learning Model for Smartphone-Based Health Telemonitoring

IEEE Transactions on Automation Science and Engineering(2022)10.1109/tase.2022.3218132

N/A

0DataRank · unranked

4 citations

Jing Li, Hyunsoo Yoon, Nathan Gaw

Editorial: Artificial intelligence for smart health: learning, simulation, and optimization

Frontiers in Physiology(2024)10.3389/fphys.2024.1541057

N/A

0DataRank · unranked

0 citations

Nathan Gaw, Hyo Kyung Lee, Bing Yao