DeconMSn: a software tool for accurate parent ion monoisotopic mass determination for tandem mass spectra. - Anoop M. Mayampurath; Navdeep Jaitly; Samuel O. Purvine; Matthew E. Monroe; Kenneth J. Auberry; Joshua N. Adkins; Richard D. Smith (Bioinform., 2008)

Decon2LS: An open-source software package for automated processing and visualization of high resolution mass spectrometry data. - Navdeep Jaitly; Anoop M. Mayampurath; Kyle Littlefield; Joshua N. Adkins; Gordon A. Anderson; Richard D. Smith (BMC Bioinform., 2009)

Machine learning based prediction for peptide drift times in ion mobility spectrometry. - 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 (Bioinform., 2010)

Automated annotation and quantification of glycans using liquid chromatography-mass spectrometry. - Chuan-Yih Yu; Anoop M. Mayampurath; Yunli Hu; Shiyue Zhou; Yehia Mechref; Haixu Tang (Bioinform., 2013)

A Data-driven Framework for Sub-Typing Stem Cell Transplant Recipients at Risk for Infection. - Anoop M. Mayampurath; Jonathan Matthews; Samuel L. Volchenboum; Lazaro N. Sanchez-Pinto (AMIA, 2017)

A Deeper Exploration of Contagious Risk and the Neighborhood Effect. - Anoop M. Mayampurath; Dana P. Edelson; Michael D. Howell; Matthew M. Churpek; Samuel L. Volchenboum (CRI, 2017)

Using photoplethysmography data to estimate heart rate variability and its association with organ dysfunction in pediatric oncology patients. - Anoop M. Mayampurath; Samuel L. Volchenboum; L. Nelson Sanchez-Pinto (npj Digit. Medicine, 2018)

A structured approach to working with wearable health data: lessons learned from the University of Chicago IBD biosensor study. - Philip H. Sossenheimer; Olivia Yvellez; Anoop M. Mayampurath; Samuel L. Volchenboum; David T. Rubin (AMIA, 2019)

Sepsis Prediction Using Semi-Supervised and Transfer Learning. - 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; et al. (AMIA, 2021)

Explaining Alerts from a Pediatric Deterioration Prediction Model Using Clinical Text. - Anoop M. Mayampurath; Kyle A. Carey; Priti Jani; Majid Afshar; Matthew M. Churpek; Dmitriy Dligach (AMIA, 2022)

Identifying infected patients using semi-supervised and transfer learning. - 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; et al. (J. Am. Medical Informatics Assoc., 2022)

Position Paper On Diagnostic Uncertainty Estimation from Large Language Models: Next-Word Probability Is Not Pre-test Probability. - Yanjun Gao; Skatje Myers; Shan Chen 004; Dmitriy Dligach; Timothy A. Miller; Danielle S. Bitterman; Guanhua Chen; Anoop M. Mayampurath; Matthew M. Churpek; Majid Afshar (CoRR, 2024)

Development and external validation of deep learning clinical prediction models using variable-length time series data. - 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 (J. Am. Medical Informatics Assoc., 2024)

Automated stratification of trauma injury severity across multiple body regions using multi-modal, multi-class machine learning models. - Jifan Gao; Guanhua Chen; Ann P. O'Rourke; John R. Caskey; Kyle A. Carey; Madeline Oguss; Anne Stey; Dmitriy Dligach; Timothy Miller 002; Anoop M. Mayampurath; Matthew M. Churpek; Majid Afshar (J. Am. Medical Informatics Assoc., 2024)

Lessons learned on information retrieval in electronic health records: a comparison of embedding models and pooling strategies. - Skatje Myers; Timothy A. Miller; Yanjun Gao; Matthew M. Churpek; Anoop M. Mayampurath; Dmitriy Dligach; Majid Afshar (J. Am. Medical Informatics Assoc., 2025)

Explaining alerts from a pediatric risk prediction model using clinical text. - 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 (J. Am. Medical Informatics Assoc., 2025)

An Information-Theoretic Perspective on Multi-LLM Uncertainty Estimation. - Maya Kruse; Majid Afshar; Saksham Khatwani; Anoop M. Mayampurath; Guanhua Chen; Yanjun Gao (CoRR, 2025)

MoMA: A Mixture-of-Multimodal-Agents Architecture for Enhancing Clinical Prediction Modelling. - 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 (CoRR, 2025)