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2020 – today
- 2024
[j3]Shaika Chowdhury, Yongbin Chen, Pengyang Li, Sivaraman Rajaganapathy, Andrew Wen, Xiao Ma, Qiying Dai, Yue Yu, Sunyang Fu, Xiaoqian Jiang
, Zhe He, Sunghwan Sohn, Xiaoke Liu, Suzette J. Bielinski, Alanna M. Chamberlain, James R. Cerhan, Nansu Zong:
Stratifying heart failure patients with graph neural network and transformer using Electronic Health Records to optimize drug response prediction. J. Am. Medical Informatics Assoc. 31(8): 1671-1681 (2024)- 2023
- [j2]Kritib Bhattarai, Sivaraman Rajaganapathy, Trisha Das, Yejin Kim, Yongbin Chen, Qiying Dai, Xiaoyang Li, Xiaoqian Jiang, Nansu Zong:
Using artificial intelligence to learn optimal regimen plan for Alzheimer's disease. J. Am. Medical Informatics Assoc. 30(10): 1645-1656 (2023) - [c2]Kritib Bhattarai, Sivaraman Rajaganapathy, Trisha Das, Yejin Kim, Yongbin Chen, Qiying Dai, Xiaoyang Li, Xiaoqian Jiang, Nansu Zong:
Learning Physician's Treatment for Alzheimer's Disease based on Electronic Health Records and Reinforcement Learning. ICHI 2023: 525-526 - [i1]Shaika Chowdhury, Sivaraman Rajaganapathy, Lichao Sun, James R. Cerhan, Nansu Zong:
Evaluation of GPT-3 for Anti-Cancer Drug Sensitivity Prediction. CoRR abs/2309.10016 (2023) - 2022
- [j1]Sivaraman Rajaganapathy, James Melbourne, Murti V. Salapaka:
Change detection using an iterative algorithm with guarantees. Autom. 136: 110075 (2022)
2010 – 2019
- 2018
- [c1]Sivaraman Rajaganapathy, James Melbourne, Tanuj Aggarwal, Rachit Shrivastava, Murti V. Salapaka:
Learning and Estimation of Single Molecule Behavior. ACC 2018: 5125-5130
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