| Predicting 30-day hospital readmissions using artificial neural networks with medical code embedding W Liu, C Stansbury, K Singh, AM Ryan, D Sukul, E Mahmoudi, A Waljee, ... PloS one 15 (4), e0221606, 2020 | 48 | 2020 |
| Deciphering multi-way interactions in the human genome GA Dotson, C Chen, S Lindsly, A Cicalo, S Dilworth, C Ryan, S Jeyarajan, ... Nature Communications 13 (1), 5498, 2022 | 27 | 2022 |
| Functional organization of the maternal and paternal human 4D nucleome S Lindsly, W Jia, H Chen, S Liu, S Ronquist, C Chen, X Wen, C Stansbury, ... IScience 24 (12), 2021 | 12 | 2021 |
| A lipid-associated macrophage lineage rewires the spatial landscape of adipose tissue in early obesity CM Stansbury, GA Dotson, H Pugh, A Rehemtulla, I Rajapakse, LA Muir JCI insight 8 (19), 2023 | 8 | 2023 |
| HAT: Hypergraph analysis toolbox J Pickard, C Chen, R Salman, C Stansbury, S Kim, A Surana, A Bloch, ... PLOS Computational Biology 19 (6), e1011190, 2023 | 6 | 2023 |
| RAILS: A robust adversarial immune-inspired learning system R Wang, T Chen, SM Lindsly, CM Stansbury, A Rehemtulla, I Rajapakse, ... IEEE Access 10, 22061-22078, 2022 | 6 | 2022 |
| Predicting 30-day hospital readmissions using artificial neural networks with medical code embedding W Liu, K Singh, AM Ryan, D Sukul, E Mahmoudi, AK Waljee, ... BioRxiv, 741504, 2019 | 5 | 2019 |
| Immuno-mimetic deep neural networks (immuno-net) R Wang, T Chen, S Lindsly, C Stansbury, I Rajapakse, A Hero arXiv preprint arXiv:2107.02842, 2021 | 3 | 2021 |
| Functional organization of the maternal and paternal human 4d nucleome S Lindsly, W Jia, H Chen, S Liu, S Ronquist, C Chen, X Wen, C Stansbury, ... | 3 | 2020 |
| Kronecker product of tensors and hypergraphs J Pickard, C Stansbury, C Chen, A Surana, A Bloch, I Rajapakse arXiv preprint arXiv:2305.03875, 2023 | 2 | 2023 |
| Evaluating and extending the Informed Consent Ontology for representing permissions from the clinical domain EE Umberfield, C Stansbury, K Ford, Y Jiang, SLR Kardia, AK Thomer, ... Applied ontology 17 (2), 321-336, 2022 | 2 | 2022 |
| Understanding memory B cell selection S Lindsly, M Gupta, C Stansbury, I Rajapakse Journal of Theoretical Biology 531, 110905, 2021 | 2 | 2021 |
| Expressing and executing informed consent permissions using SWRL: the all of us use case M Amith, MR Harris, C Stansbury, K Ford, FJ Manion, C Tao AMIA Annual Symposium Proceedings 2021, 197, 2021 | 2 | 2021 |
| Coordinated Evolution of Ontologies of Informed Consent. JN Otte, C Stansbury, J Vajda, FJ Manion, E Umberfield, Y He, MR Harris, ... ICBO, 2018 | 2 | 2018 |
| Coordinated evolution of ontologies of informed consent J Vajda, JN Otte, C Stansbury, FJ Manion, E Umberfield, Y He, M Harris, ... ICBO, 2018 | 2 | 2018 |
| Functional organization of the maternal and paternal human 4D Nucleome. C Stansbury, G Dotson, C Ryan, A Rehemtulla, G Omenn, M Wicha, S Li, ... iScience 24 (12), 2021 | 1 | 2021 |
| Lessons learned for identifying and annotating permissions in clinical consent forms EE Umberfield, Y Jiang, SH Fenton, C Stansbury, K Ford, K Crist, ... Applied Clinical Informatics 12 (03), 429-435, 2021 | 1 | 2021 |
| Machine learning-based donor permission extraction from informed consent documents M Zhang, M Sankaranarayanapillai, J Du, Y Xiang, FJ Manion, MR Harris, ... BMC bioinformatics 24 (Suppl 3), 477, 2020 | 1 | 2020 |
| Performance Summary Display Ontology: Feedback intervention content, delivery, and interpreted information Z Landis-Lewis, C Stansbury, J Rincón, C Gross | 1 | 2020 |
| Geometric Aspects of Observability of Hypergraphs J Pickard, C Stansbury, A Surana, I Rajapakse, A Bloch arXiv preprint arXiv:2404.07480, 2024 | | 2024 |
