Suraj Rajendran

发表

Data heterogeneity in federated learning with Electronic Health Records: Case studies of risk prediction for acute kidney injury and sepsis diseases in critical care

Fei Wang, Zhenxing Xu, A. Ghosh, 2022, medRxiv.

Creation of a Proof-of-Concept 3D-Printed Spinal Lateral Access Simulator

W. Fox, A. Quiñones‐Hinojosa, Fidel Valero-Moreno, 2022, Cureus.

Learning across diverse biomedical data modalities and cohorts: Challenges and opportunities for innovation

Jiayu Zhou, M. Sabuncu, Weishen Pan, 2023, Patterns.

In the Pursuit of Privacy: The Promises and Predicaments of Federated Learning in Healthcare

Umit Topaloglu, Suraj Rajendran, Mustafa Y. Topaloglu, 2021, Frontiers in Artificial Intelligence.

Extracting Smoking Status from Electronic Health Records Using NLP and Deep Learning.

Umit Topaloglu, Suraj Rajendran, U. Topaloglu, 2020, AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science.

Biomedical discovery through the integrative biomedical knowledge hub (iBKH).

Fayzan F. Chaudhry, Jacqueline R. M. A. Maasch, Fei Wang, 2023, iScience.

A non-invasive artificial intelligence approach for the prediction of human blastocyst ploidy: a retrospective model development and validation study

Vianne R. Gao, O. Elemento, I. Hajirasouliha, 2023, The Lancet. Digital health.

Web-Based Social Networks of Individuals With Adverse Childhood Experiences: Quantitative Study

S. Bacon, N. Masuda, Yiding Cao, 2022, Journal of medical Internet research.

Cloud-Based Federated Learning Implementation Across Medical Centers

M. Gurcan, U. Topaloglu, J. Obeid, 2021, JCO clinical cancer informatics.

Applications of machine Learning to improve the efficiency and range of microbial biosynthesis: a review of state-of-art techniques

A. Bhalla, Suraj Rajendran, 2023, ArXiv.

Nanorobotics in Medicine: A Systematic Review of Advances, Challenges, and Future Prospects

Suraj Rajendran, Shishir Rajendran, P. Sundararajan, 2023, Precision Nanomedicine.

An adaptive federated learning framework for clinical risk prediction with electronic health records from multiple hospitals

Weishen Pan, Suraj Rajendran, Zhenxing Xu, 2023, Patterns.

High-speed optical imaging with sCMOS pixel reassignment

B. Mandracchia, Wenhao Liu, P. Forghani, 2024, Nature communications.