| 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 |
| 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 | 1 | 2013 |
| 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 |
| 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 | 1 | 2023 |
| Coded Deep Neural Networks for Robust Neural Computation N Raviv, P Upadhyaya, S Jain, J Bruck, AA Jiang | 2 | 2020 |
| 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 | 9 | 2020 |
| 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 |
| 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 |
| Efficient Assistance to LDPC Code-based Erasure Recovery in NVM Storage AA Jiang, P Upadhyaya, Y Wang, K Narayanan, H Zhou, J Sima, J Bruck | | 2018 |
| 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 | 22* | 2023 |
| Error correction by natural redundancy for long term storage A Jiang, P Upadhyaya, EF Haratsch, J Bruck Proc. NVMW, 2017 | 12* | 2017 |
| 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 |
| File Type Recognition and Error Correction for NVMs with Deep Learning P Upadhyaya, AA Jiang | | 2019 |
| 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 | 3 | 2020 |
| 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 |
| Lugsam: A Novel Framework for Integrating Text Prompts to Segment Anything Model (Sam) for Segmentation Tasks of Icu Chest X-Rays DB Ramesh, R Iytha Sridhar, P Upadhyaya, R Kamaleswaran Pulakesh and Kamaleswaran, Rishikesan, Lugsam: A Novel Framework for …, 0 | | |
| 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 | 3 | 2023 |
| Machine learning for error correction with natural redundancy P Upadhyaya, A Jiang arXiv preprint arXiv:1910.07420, 2019 | 7 | 2019 |
| NOVEL MACHINE-LEARNING ANALYSIS TO PREDICT OUTCOMES DURING INPATIENT REHABILITATION B Wu, P Upadhyaya, S Savitz, X Jiang, S Shams INTERNATIONAL JOURNAL OF STROKE 16 (2_ SUPPL), 38-38, 2021 | | 2021 |
Anxiao JiangProfessor of Computer Science and Engineering, Texas A&M University在 cse.tamu.edu 的电子邮件经过验证
