| Using machine learning on clinical data to identify unexpected patterns in groups of COVID-19 patients HP Cowley, MS Robinette, JK Matelsky, D Xenes, A Kashyap, NF Ibrahim, ... Scientific reports 13 (1), 2236, 2023 | 3 | 2023 |
| Data-driven motif discovery in biological neural networks JK Matelsky, MS Robinette, B Wester, WR Gray-Roncal, EC Johnson, ... bioRxiv, 2023.10. 16.562590, 2023 | 1 | 2023 |
| A Saliva-Based Serological and Behavioral Analysis of SARS-CoV-2 Antibody Prevalence in Howard County, Maryland AC Brown, PT Koshute, HP Cowley, MS Robinette, SR Gravelyn, SV Patel, ... Microbiology Spectrum 11 (4), e02765-22, 2023 | 1 | 2023 |
| Exploiting large neuroimaging datasets to create connectome-constrained approaches for more robust, efficient, and adaptable artificial intelligence EC Johnson, BS Robinson, GK Vallabha, J Joyce, JK Matelsky, ... Artificial Intelligence and Machine Learning for Multi-Domain Operations …, 2023 | 1 | 2023 |
| Using machine learning to discover unexpected patterns in clinical data: a case study in COVID-19 sub-cohort discovery HP Cowley, MS Robinette, JK Matelsky, D Xenes, A Kashyap, NF Ibrahim, ... | 1 | 2022 |
| An Algorithm to Predict the Need for Magnetic Resonance Imaging to Support Disease Monitoring in Multiple Sclerosis MS Robinette, K Gray-Roncal, KC Fitzgerald, K Ferryman, ... medRxiv, 2024.06. 20.24309267, 2024 | | 2024 |
