Anoop M. Mayampurath

24 papers A* 1Misc 4Journal 18Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Explainable multimodal deep learning models for variable-length sequences in critically ill patients. J. Biomed. Informatics Jennifer Martin, Majid Afshar, Askar Safipour Afshar, John R. Caskey, Dmitriy Dligach, Yanjun Gao, Jifan Gao, Guanhua Chen, Anoop M. Mayampurath, Matthew M. Churpek
2026	J	`jnl`	MoMA: a mixture-of-multimodal-agents architecture for enhancing clinical prediction modelling. npj Digit. Medicine Jifan Gao, Mahmudur Rahman, John R. Caskey, Madeline Oguss, Ann P. O'Rourke, Randall Brown, Anne Stey, Anoop M. Mayampurath, Matthew M. Churpek, Guanhua Chen, Majid Afshar
2025	J	`jnl`	An Information-Theoretic Perspective on Multi-LLM Uncertainty Estimation. CoRR Maya Kruse, Majid Afshar, Saksham Khatwani, Anoop M. Mayampurath, Guanhua Chen, Yanjun Gao
2025	J	`jnl`	Evaluating Retrieval-Augmented Generation vs. Long-Context Input for Clinical Reasoning over EHRs. CoRR Skatje Myers, Dmitriy Dligach, Timothy A. Miller, Samantha Barr, Yanjun Gao, Matthew M. Churpek, Anoop M. Mayampurath, Majid Afshar
2025	J	`jnl`	Evaluating clinical AI summaries with large language models as judges. npj Digit. Medicine Emma Croxford, Yanjun Gao, Elliot First, Nicholas Pellegrino, Miranda Schnier, John R. Caskey, Madeline Oguss, Graham Wills, Guanhua Chen, Dmitriy Dligach, Matthew M. Churpek, Anoop M. Mayampurath, Frank J. Liao, Cherodeep Goswami, Karen K. Wong, Brian W. Patterson, Majid Afshar
2025	J	`jnl`	Explaining alerts from a pediatric risk prediction model using clinical text. J. Am. Medical Informatics Assoc. Samuel Nycklemoe, Sriharsha Devarapu, Yanjun Gao, Kyle A. Carey, Nicholas Kuehnel, Neil Munjal, Priti Jani, Matthew M. Churpek, Dmitriy Dligach, Majid Afshar, Anoop M. Mayampurath
2025	J	`jnl`	Lessons learned on information retrieval in electronic health records: a comparison of embedding models and pooling strategies. J. Am. Medical Informatics Assoc. Skatje Myers, Timothy A. Miller, Yanjun Gao, Matthew M. Churpek, Anoop M. Mayampurath, Dmitriy Dligach, Majid Afshar
2025	J	`jnl`	MoMA: A Mixture-of-Multimodal-Agents Architecture for Enhancing Clinical Prediction Modelling. CoRR Jifan Gao, Mahmudur Rahman, John R. Caskey, Madeline Oguss, Ann P. O'Rourke, Randy Brown, Anne Stey, Anoop M. Mayampurath, Matthew M. Churpek, Guanhua Chen, Majid Afshar
2025	A*	`conf`	Simple Yet Effective: An Information-Theoretic Approach to Multi-LLM Uncertainty Quantification. EMNLP Maya Kruse, Majid Afshar, Saksham Khatwani, Anoop M. Mayampurath, Guanhua Chen, Yanjun Gao
2024	J	`jnl`	Automated stratification of trauma injury severity across multiple body regions using multi-modal, multi-class machine learning models. J. Am. Medical Informatics Assoc. Jifan Gao, Guanhua Chen, Ann P. O'Rourke, John R. Caskey, Kyle A. Carey, Madeline Oguss, Anne Stey, Dmitriy Dligach, Timothy Miller, Anoop M. Mayampurath, Matthew M. Churpek, Majid Afshar
2024	J	`jnl`	Development and external validation of deep learning clinical prediction models using variable-length time series data. J. Am. Medical Informatics Assoc. Fereshteh S. Bashiri, Kyle A. Carey, Jennie Martin, Jay L. Koyner, Dana P. Edelson, Emily R. Gilbert, Anoop M. Mayampurath, Majid Afshar, Matthew M. Churpek
2024	J	`jnl`	Lessons Learned on Information Retrieval in Electronic Health Records: A Comparison of Embedding Models and Pooling Strategies. CoRR Skatje Myers, Timothy A. Miller, Yanjun Gao, Matthew M. Churpek, Anoop M. Mayampurath, Dmitriy Dligach, Majid Afshar
2024	J	`jnl`	Position Paper On Diagnostic Uncertainty Estimation from Large Language Models: Next-Word Probability Is Not Pre-test Probability. CoRR Yanjun Gao, Skatje Myers, Shan Chen, Dmitriy Dligach, Timothy A. Miller, Danielle S. Bitterman, Guanhua Chen, Anoop M. Mayampurath, Matthew M. Churpek, Majid Afshar
2022	Misc	`conf`	Explaining Alerts from a Pediatric Deterioration Prediction Model Using Clinical Text. AMIA Anoop M. Mayampurath, Kyle A. Carey, Priti Jani, Majid Afshar, Matthew M. Churpek, Dmitriy Dligach
2022	J	`jnl`	Identifying infected patients using semi-supervised and transfer learning. J. Am. Medical Informatics Assoc. Fereshteh S. Bashiri, John R. Caskey, Anoop M. Mayampurath, Nicole Dussault, Jay Dumanian, Sivasubramanium V. Bhavani, Kyle A. Carey, Emily R. Gilbert, Christopher J. Winslow, Nirav S. Shah, Dana P. Edelson, Majid Afshar, Matthew M. Churpek
2021	Misc	`conf`	Sepsis Prediction Using Semi-Supervised and Transfer Learning. AMIA John R. Caskey, Fereshteh S. Bashiri, Anoop M. Mayampurath, Nicole Dussault, Jay Dumanian, Sivasubramanium V. Bhavani, Kyle A. Carey, Emily R. Gilbert, Christopher J. Winslow, Nirav S. Shah, Dana P. Edelson, Majid Afshar, Matthew M. Churpek
2019	Misc	`conf`	A structured approach to working with wearable health data: lessons learned from the University of Chicago IBD biosensor study. AMIA Philip H. Sossenheimer, Olivia Yvellez, Anoop M. Mayampurath, Samuel L. Volchenboum, David T. Rubin
2018	J	`jnl`	Using photoplethysmography data to estimate heart rate variability and its association with organ dysfunction in pediatric oncology patients. npj Digit. Medicine Anoop M. Mayampurath, Samuel L. Volchenboum, L. Nelson Sanchez-Pinto
2017	Misc	`conf`	A Data-driven Framework for Sub-Typing Stem Cell Transplant Recipients at Risk for Infection. AMIA Anoop M. Mayampurath, Jonathan Matthews, Samuel L. Volchenboum, Lazaro N. Sanchez-Pinto
2017	—	`conf`	A Deeper Exploration of Contagious Risk and the Neighborhood Effect. CRI Anoop M. Mayampurath, Dana P. Edelson, Michael D. Howell, Matthew M. Churpek, Samuel L. Volchenboum
2013	J	`jnl`	Automated annotation and quantification of glycans using liquid chromatography-mass spectrometry. Bioinform. Chuan-Yih Yu, Anoop M. Mayampurath, Yunli Hu, Shiyue Zhou, Yehia Mechref, Haixu Tang
2010	J	`jnl`	Machine learning based prediction for peptide drift times in ion mobility spectrometry. Bioinform. Anuj R. Shah, Khushbu Agarwal, Erin S. Baker, Mudita Singhal, Anoop M. Mayampurath, Yehia M. Ibrahim, Lars J. Kangas, Matthew E. Monroe, Rui Zhao, Mikhail E. Belov, Gordon A. Anderson, Richard D. Smith
2009	J	`jnl`	Decon2LS: An open-source software package for automated processing and visualization of high resolution mass spectrometry data. BMC Bioinform. Navdeep Jaitly, Anoop M. Mayampurath, Kyle Littlefield, Joshua N. Adkins, Gordon A. Anderson, Richard D. Smith
2008	J	`jnl`	DeconMSn: a software tool for accurate parent ion monoisotopic mass determination for tandem mass spectra. Bioinform. Anoop M. Mayampurath, Navdeep Jaitly, Samuel O. Purvine, Matthew E. Monroe, Kenneth J. Auberry, Joshua N. Adkins, Richard D. Smith