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Pulakesh Upadhyaya
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Year
Emulate randomized clinical trials using heterogeneous treatment effect estimation for personalized treatments: Methodology review and benchmark
Y Ling, P Upadhyaya, L Chen, X Jiang, Y Kim
Journal of biomedical informatics 137, 104256, 2023
20*2023
On LDPC decoding with natural redundancy
P Upadhyaya, AA Jiang
Communication, Control, and Computing (Allerton), 2017 55th Annual Allerton …, 2017
142017
Error correction by natural redundancy for long term storage
A Jiang, P Upadhyaya, EF Haratsch, J Bruck
Proc. NVMW, 2017
12*2017
Scalable Causal Structure Learning: Scoping Review of Traditional and Deep Learning Algorithms and New Opportunities in Biomedicine
P Upadhyaya, K Zhang, C Li, X Jiang, Y Kim
JMIR Medical Informatics 11, 2023
11*2023
Representation-oblivious error correction by natural redundancy
P Upadhyaya, AA Jiang
ICC 2019-2019 IEEE International Conference on Communications (ICC), 1-7, 2019
102019
Error correction for noisy neural networks
P Upadhyaya, X Yu, J Mink, J Cordero, P Parmar, A Jiang
Non-Volatile Memories Workshop, 2019
10*2019
Codnn–robust neural networks from coded classification
N Raviv, S Jain, P Upadhyaya, J Bruck, AA Jiang
2020 IEEE International Symposium on Information Theory (ISIT), 2688-2693, 2020
92020
Machine learning for error correction with natural redundancy
P Upadhyaya, A Jiang
arXiv preprint arXiv:1910.07420, 2019
72019
Stopping set elimination for LDPC codes
AA Jiang, P Upadhyaya, Y Wang, KR Narayanan, H Zhou, J Sima, J Bruck
2017 55th Annual Allerton Conference on Communication, Control, and …, 2017
52017
Lung Grounded-SAM (LuGSAM): A Novel Framework for Integrating Text prompts to Segment Anything Model (SAM) for Segmentation Tasks of ICU Chest X-Rays
DB Ramesh, RI Sridhar, P Upadhyaya, R Kamaleswaran
Authorea Preprints, 2023
32023
Improve robustness of deep neural networks by coding
K Huang, N Raviv, S Jain, P Upadhyaya, J Bruck, PH Siegel, AA Jiang
2020 Information Theory and Applications Workshop (ITA), 1-7, 2020
32020
Coded Deep Neural Networks for Robust Neural Computation
N Raviv, P Upadhyaya, S Jain, J Bruck, AA Jiang
22020
ClotCatcher: a novel natural language model to accurately adjudicate venous thromboembolism from radiology reports
J Wang, JS de Vale, S Gupta, P Upadhyaya, FA Lisboa, SA Schobel, ...
BMC medical informatics and decision making 23 (1), 262, 2023
12023
A dynamic offset model based on stop line detector information
S Nair, P Upadhyay, TV Mathew
Procedia-Social and Behavioral Sciences 104, 487-496, 2013
12013
Deep Representation Learning-Based Dynamic Trajectory Phenotyping for Acute Respiratory Failure in Medical Intensive Care Units
A Wu, T Choudhary, P Upadhyaya, A Ali, P Yang, R Kamaleswaran
arXiv preprint arXiv:2405.02563, 2024
2024
A Multicenter Study on Deriving and Validating Data-driven Phenotypes for Sepsis-induced Acute Respiratory Failure in ICU Patients
T Choudhary, P Upadhyaya, C Davis, P Yang, C Coopersmith, ...
C96. PRECISION MEDICINE IN CRITICAL CARE: EXPLORING ARDS AND SEPSIS …, 2024
2024
A Retrospective Causal Inference-based Study Using Machine Learning for Identifying Treatment Effects of Various Therapies in Sepsis-induced Acute Respiratory Failure Phenotypes
P Upadhyaya, T Choudhary, C Davis, P Yang, C Coopersmith, ...
C22. ARTIFICIAL INTELLIGENCE IN THE ICU: THE MACHINE WILL SEE YOU NOW, A5071 …, 2024
2024
Derivation and Validation of Generalized Sepsis-induced Acute Respiratory Failure Phenotypes Among Critically Ill Patients: A Retrospective Study
T Choudhary, P Upadhyaya, CM Davis, P Yang, S Tallowin, FA Lisboa, ...
Research Square, 2024
2024
1478: CHARACTERIZING SEPSIS-INDUCED HYPOTENSION PATIENTS WHO BENEFIT FROM AN EARLY VASOPRESSOR STRATEGY
P Upadhyaya, J Wang, JS De Vale, F Lisboa, S Schobel, E Elster, ...
Critical Care Medicine 52 (1), S710, 2024
2024
Inferring Personalized Treatment Effect of Antihypertensives on Alzheimer’s Disease Using Deep Learning
P Upadhyaya, Y Ling, L Chen, Y Kim, X Jiang
2023 IEEE 11th International Conference on Healthcare Informatics (ICHI), 49-57, 2023
2023
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