Suraj Rajendran

According to our database, Suraj Rajendran authored at least 9 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

TrialCompass: Visual Analytics for Enhancing the Eligibility Criteria Design of Clinical Trials.

Rui Sheng, Xingbo Wang, Jiachen Wang, Xiaofu Jin, Zhonghua Sheng, Zhenxing Xu, Suraj Rajendran, Huamin Qu, Fei Wang

CoRR, July, 2025

Federated target trial emulation using distributed observational data for treatment effect estimation.

Haoyang Li, Chengxi Zang, Zhenxing Xu, Weishen Pan, Suraj Rajendran, Yong Chen, Fei Wang

npj Digit. Medicine, 2025

2024

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

Weishen Pan, Zhenxing Xu, Suraj Rajendran, Fei Wang

Patterns, January, 2024

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

Suraj Rajendran, Weishen Pan, Mert R. Sabuncu, Yong Chen, Jiayu Zhou, Fei Wang

Patterns, 2024

Advancing Melanoma Diagnosis with Self-Supervised Neural Networks: Evaluating the Effectiveness of Different Techniques.

Srivishnu Vusirikala, Suraj Rajendran

CoRR, 2024

2023

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

Shishir Rajendran, Prathic Sundararajan, Ashi Awasthi, Suraj Rajendran

CoRR, 2023

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

Akshay Bhalla, Suraj Rajendran

CoRR, 2023

Patchwork Learning: A Paradigm Towards Integrative Analysis across Diverse Biomedical Data Sources.

Suraj Rajendran, Weishen Pan, Mert R. Sabuncu, Yong Chen, Jiayu Zhou, Fei Wang

CoRR, 2023

2021

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

Mustafa Y. Topaloglu, Elisabeth M. Morrell, Suraj Rajendran, Umit Topaloglu

Frontiers Artif. Intell., 2021