Pulakesh Upadhyaya

16 papers B 1Misc 2Journal 9Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	LuGSAM: a novel framework for integrating text prompts to Segment Anything Model (SAM) for segmentation tasks of ICU chest x-rays. Multim. Tools Appl. Dhanush Babu Ramesh, Rishika Iytha Sridhar, Pulakesh Upadhyaya, Rishikesan Kamaleswaran
2024	J	`jnl`	Deep Representation Learning-Based Dynamic Trajectory Phenotyping for Acute Respiratory Failure in Medical Intensive Care Units. CoRR Alan Wu, Tilendra Choudhary, Pulakesh Upadhyaya, Ayman Ali, Philip Yang, Rishikesan Kamaleswaran
2023	J	`jnl`	ClotCatcher: a novel natural language model to accurately adjudicate venous thromboembolism from radiology reports. BMC Medical Informatics Decis. Mak. Jeffrey Wang, Joao Souza de Vale, Saransh Gupta, Pulakesh Upadhyaya, Felipe A. Lisboa, Seth A. Schobel, Eric A. Elster, Christopher J. Dente, Timothy G. Buchman, Rishikesan Kamaleswaran
2023	J	`jnl`	Emulate randomized clinical trials using heterogeneous treatment effect estimation for personalized treatments: Methodology review and benchmark. J. Biomed. Informatics Yaobin Ling, Pulakesh Upadhyaya, Luyao Chen, Xiaoqian Jiang, Yejin Kim
2023	—	`conf`	Inferring Personalized Treatment Effect of Antihypertensives on Alzheimer's Disease Using Deep Learning. ICHI Pulakesh Upadhyaya, Yaobin Ling, Luyao Chen, Yejin Kim, Xiaoqian Jiang
2021	J	`jnl`	Heterogeneous Treatment Effect Estimation using machine learning for Healthcare application: tutorial and benchmark. CoRR Yaobin Ling, Pulakesh Upadhyaya, Luyao Chen, Xiaoqian Jiang, Yejin Kim
2021	J	`jnl`	Scalable Causal Structure Learning: New Opportunities in Biomedicine. CoRR Pulakesh Upadhyaya, Kai Zhang, Can Li, Xiaoqian Jiang, Yejin Kim
2020	B	`conf`	CodNN - Robust Neural Networks From Coded Classification. ISIT Netanel Raviv, Siddharth Jain, Pulakesh Upadhyaya, Jehoshua Bruck, Anxiao Andrew Jiang
2020	J	`jnl`	CodNN - Robust Neural Networks From Coded Classification. CoRR Netanel Raviv, Siddharth Jain, Pulakesh Upadhyaya, Jehoshua Bruck, Anxiao Jiang
2020	Misc	`conf`	Improve Robustness of Deep Neural Networks by Coding. ITA Kunping Huang, Netanel Raviv, Siddharth Jain, Pulakesh Upadhyaya, Jehoshua Bruck, Paul H. Siegel, Anxiao Andrew Jiang
2019	J	`jnl`	Machine Learning for Error Correction with Natural Redundancy. CoRR Pulakesh Upadhyaya, Anxiao Jiang
2019	—	`conf`	Representation-Oblivious Error Correction by Natural Redundancy. ICC Pulakesh Upadhyaya, Anxiao Andrew Jiang
2018	J	`jnl`	Representation-Oblivious Error Correction by Natural Redundancy. CoRR Pulakesh Upadhyaya, Anxiao Jiang
2017	Misc	`conf`	Correcting errors by natural redundancy. ITA Anxiao Jiang, Pulakesh Upadhyaya, Erich F. Haratsch, Jehoshua Bruck
2017	—	`conf`	On LDPC decoding with natural redundancy. Allerton Pulakesh Upadhyaya, Anxiao Andrew Jiang
2017	—	`conf`	Stopping set elimination for LDPC codes. Allerton Anxiao Andrew Jiang, Pulakesh Upadhyaya, Ying Wang, Krishna R. Narayanan, Hongchao Zhou, Jin Sima, Jehoshua Bruck