Covasim: an agent-based model of COVID-19 dynamics and interventions CC Kerr, RM Stuart, D Mistry, RG Abeysuriya, K Rosenfeld, GR Hart, ... PLOS Computational Biology 17 (7), e1009149, 2021 | 726 | 2021 |
Pancreatic cancer prediction through an artificial neural network W Muhammad, GR Hart, B Nartowt, JJ Farrell, K Johung, Y Liang, J Deng Frontiers in Artificial Intelligence 2, 2, 2019 | 147 | 2019 |
Lung Nodule Detection via Deep Reinforcement Learning I Ali, GR Hart, G Gunabushanam, Y Liang, W Muhammad, B Nartowt, ... Frontiers in oncology 8, 108, 2018 | 142 | 2018 |
Predicting breast cancer risk using personal health data and machine learning models GF Stark, GR Hart, BJ Nartowt, J Deng Plos one 14 (12), e0226765, 2019 | 126 | 2019 |
Predicting non-melanoma skin cancer via a multi-parameterized artificial neural network D Roffman, G Hart, M Girardi, CJ Ko, J Deng Scientific reports 8 (1), 1701, 2018 | 118 | 2018 |
Controlling COVID-19 via test-trace-quarantine CC Kerr, D Mistry, RM Stuart, K Rosenfeld, GR Hart, RC Núñez, JA Cohen, ... Nature communications 12 (1), 2993, 2021 | 117 | 2021 |
A multi-parameterized artificial neural network for lung cancer risk prediction GR Hart, DA Roffman, R Decker, J Deng PLoS One 13 (10), e0205264, 2018 | 70 | 2018 |
Robust machine learning for colorectal cancer risk prediction and stratification BJ Nartowt, GR Hart, W Muhammad, Y Liang, GF Stark, J Deng Frontiers in big Data 3, 6, 2020 | 61 | 2020 |
Scoring colorectal cancer risk with an artificial neural network based on self-reportable personal health data BJ Nartowt, GR Hart, DA Roffman, X Llor, I Ali, W Muhammad, Y Liang, ... PloS one 14 (8), e0221421, 2019 | 43 | 2019 |
A general-purpose Monte Carlo particle transport code based on inverse transform sampling for radiotherapy dose calculation Y Liang, W Muhammad, GR Hart, BJ Nartowt, ZJ Chen, JB Yu, KB Roberts, ... Scientific reports 10 (1), 9808, 2020 | 38 | 2020 |
COVID-19 reopening strategies at the county level in the face of uncertainty: Multiple Models for Outbreak Decision Support K Shea, RK Borchering, WJM Probert, E Howerton, TL Bogich, S Li, ... Medrxiv, 2020 | 31 | 2020 |
Development and validation of a multiparameterized artificial neural network for prostate cancer risk prediction and stratification DA Roffman, GR Hart, MS Leapman, JB Yu, FL Guo, I Ali, J Deng JCO Clinical Cancer Informatics 2, 1-10, 2018 | 30 | 2018 |
Effects of weather-related social distancing on city-scale transmission of respiratory viruses: a retrospective cohort study ML Jackson, GR Hart, DJ McCulloch, A Adler, E Brandstetter, K Fay, ... BMC infectious diseases 21, 1-8, 2021 | 26 | 2021 |
Population-based screening for endometrial cancer: human vs. machine intelligence GR Hart, V Yan, GS Huang, Y Liang, BJ Nartowt, W Muhammad, J Deng Frontiers in Artificial Intelligence 3, 539879, 2020 | 24 | 2020 |
Empirical fitness models for hepatitis C virus immunogen design GR Hart, AL Ferguson Physical Biology 12 (6), 066006, 2015 | 24 | 2015 |
Multiple models for outbreak decision support in the face of uncertainty K Shea, RK Borchering, WJM Probert, E Howerton, TL Bogich, SL Li, ... Proceedings of the National Academy of Sciences 120 (18), e2207537120, 2023 | 19 | 2023 |
Error catastrophe and phase transition in the empirical fitness landscape of HIV GR Hart, AL Ferguson Physical Review E 91 (3), 032705, 2015 | 18 | 2015 |
Computational design of hepatitis C virus immunogens from host-pathogen dynamics over empirical viral fitness landscapes GR Hart, AL Ferguson Physical biology 16 (1), 016004, 2018 | 12 | 2018 |
Finding new phases for precipitate-hardening in platinum and palladium alloys DA Carr, J Corbitt, GR Hart, E Gilmartin, GLW Hart Computational materials science 51 (1), 331-339, 2012 | 11 | 2012 |
Covasim: an agent-based model of COVID-19 dynamics and interventions. medRxiv CC Kerr, RM Stuart, D Mistry, RG Abeysuriya, G Hart, K Rosefeld Preprint, 2020 | 10 | 2020 |