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Suraj Rajendran
Suraj Rajendran
Weill Cornell Medicine
在 med.cornell.edu 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
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
482021
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
332023
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
232021
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
16*2023
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
162020
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
142023
Learning across diverse biomedical data modalities and cohorts: Challenges and opportunities for innovation
S Rajendran, W Pan, MR Sabuncu, Y Chen, J Zhou, FEI Wang
Patterns, 2024
9*2024
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
52023
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
22022
Improving Equity in Deep Learning Medical Applications with the Gerchberg-Saxton Algorithm
S Ay, M Cardei, AM Meyer, W Zhang, U Topaloglu
Journal of Healthcare Informatics Research 8 (2), 225-243, 2024
12024
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
12024
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
12024
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
12023
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
12023
Online social networks of individuals with adverse childhood experiences
Y Cao, S Rajendran, P Sundararajan, R Law, S Bacon, SA Sumner, ...
medRxiv, 2022.12. 19.22283651, 2022
12022
Predicting criminal recidivism using specialized feature engineering and XGBoost
S Rajendran, P Sundararajan
CrimRxiv, 2021
12021
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
12020
O-321 A foundation model for embryology trained on time-lapse images
S Rajendran, Q Zhan, J Malmsten, M Meseguer, K Miller, Z Rosenwaks, ...
Human Reproduction 39 (Supplement_1), 2024
2024
High-speed optical imaging with sCMOS pixel reassignment
B Mandracchia, C Zheng, S Rajendran, W Liu, P Forghani, C Xu, S Jia
Nature Communications 15 (1), 4598, 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, L Torres, J Xu, J Bian, ...
medRxiv, 2024
2024
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