| Cloud-Based Federated Learning Implementation Across Medical Centers S Rajendran, JS Obeid, H Binol, R D`Agostino Jr, K Foley, W Zhang, ... JCO Clinical Cancer Informatics 5 (2021), 2021 | 43 | 2021 |
| A non-invasive artificial intelligence approach for the prediction of human blastocyst ploidy: a retrospective model development and validation study J Barnes, M Brendel, VR Gao, S Rajendran, J Kim, Q Li, JE Malmsten, ... The Lancet Digital Health 5 (1), e28-e40, 2023 | 28 | 2023 |
| In the pursuit of privacy: the promises and predicaments of federated learning in healthcare MY Topaloglu, EM Morrell, S Rajendran, U Topaloglu Frontiers in Artificial Intelligence 4, 746497, 2021 | 20 | 2021 |
| Extracting smoking status from electronic health records using NLP and deep learning S Rajendran, U Topaloglu AMIA Summits on Translational Science Proceedings 2020, 507, 2020 | 14 | 2020 |
| Biomedical discovery through the integrative biomedical knowledge hub (iBKH) C Su, Y Hou, M Zhou, S Rajendran, JRMA Maasch, Z Abedi, H Zhang, ... Iscience 26 (4), 2023 | 12 | 2023 |
| Data heterogeneity in federated learning with electronic health records: Case studies of risk prediction for acute kidney injury and sepsis diseases in critical care S Rajendran, Z Xu, W Pan, A Ghosh, F Wang PLOS Digital Health 2 (3), e0000117, 2023 | 11 | 2023 |
| Results of NAEP Reading Item Automated Scoring Data Challenge (Fall 2021) J Whitmer, EY Deng, C Blankenship, M Beiting-Parrish, T Zhang, P Bailey EdArXiv, 2023 | 4 | 2023 |
| Hamidullah Binol, Ralph D Agostino Jr, Kristie Foley, Wei Zhang, Philip Austin, Joey Brakefield, Metin N Gurcan, and Umit Topaloglu. 2021 S Rajendran, JS Obeid Cloud-based federated learning implementation across medical centers. JCO …, 0 | 4 | |
| Learning across diverse biomedical data modalities and cohorts: Challenges and opportunities for innovation S Rajendran, W Pan, MR Sabuncu, Y Chen, J Zhou, F Wang Patterns, 2024 | 2 | 2024 |
| Patchwork Learning: A Paradigm Towards Integrative Analysis across Diverse Biomedical Data Sources S Rajendran, W Pan, MR Sabuncu, Y Chen, J Zhou, F Wang arXiv preprint arXiv:2305.06217, 2023 | 2 | 2023 |
| Nanorobotics in Medicine: A Systematic Review of Advances, Challenges, and Future Prospects with a Focus on Cell Therapy, Invasive Surgery, and Drug Delivery S Rajendran, P Sundararajan, A Awasthi, S Rajendran Precision Nanomedicine, 1221-1232, 2024 | 1 | 2024 |
| O-120 Predicting Embryo Ploidy Status Using Time-lapse Images S Rajendran, M Brendel, J Barnes, Q Zhan, J Malmsten, Z Rosenwaks, ... Human Reproduction 38 (Supplement_1), dead093. 147, 2023 | 1 | 2023 |
| Web-Based Social Networks of Individuals With Adverse Childhood Experiences: Quantitative Study Y Cao, S Rajendran, P Sundararajan, R Law, S Bacon, SA Sumner, ... Journal of Medical Internet Research 25, e45171, 2023 | 1 | 2023 |
| Creation of a Proof-of-Concept 3D-Printed Spinal Lateral Access Simulator MW Pullen, F Valero-Moreno, S Rajendran, VU Shah, BR Bruneau, ... Cureus 14 (5), 2022 | 1 | 2022 |
| Predicting criminal recidivism using specialized feature engineering and XGBoost S Rajendran, P Sundararajan CrimRxiv, 2021 | 1 | 2021 |
| Biomedical Discovery through the integrative Biomedical Knowledge Hub (iBKH) C Su, Y Hou, S Rajendran, JRMA Maasch, Z Abedi, H Zhang, Z Bai, ... medRxiv, 2021.03. 12.21253461, 2021 | 1 | 2021 |
| Machine learning for prospective identification of immunotherapy related adverse events (irAEs). D Margalski, T Lycan, S Rajendran, U Topaloglu Journal of Clinical Oncology 38 (15_suppl), e14064-e14064, 2020 | 1 | 2020 |
| An adaptive federated learning framework for clinical risk prediction with electronic health records from multiple hospitals W Pan, Z Xu, S Rajendran, F Wang Patterns 5 (1), 2024 | | 2024 |
| Corticosteroids for infectious critical illness: A multicenter target trial emulation stratified by predicted organ dysfunction trajectory S Rajendran, Z Xu, W Pan, C Zang, I Siempos, LK Torres, J Xu, J Bian, ... medRxiv, 2024.03. 07.24303926, 2024 | | 2024 |
| Automatic Ploidy Prediction and Quality Assessment of Human Blastocyst Using Time-Lapse Imaging S Rajendran, M Brendel, J Barnes, Q Zhan, JE Malmsten, P Zisimopoulos, ... bioRxiv, 2023.08. 31.555741, 2023 | | 2023 |
