Technoromanticism: digital narrative, holism, and the romance of the real. R. Coyne. MIT Press, Cambridge (1999). - Jonathan Elmer (Inf. Soc., 2002)

BrainFlux: An Integrated Data Warehousing Infrastructure for Dynamic Health Data. - Jonathan Elmer; Quan Zhou; Yichi Zhang; Fan Yang; Vladimir I. Zadorozhny (ADBIS (Short Papers and Workshops), 2019)

Prognostication of Neurological Recovery by Analyzing Structural Breaks in EEG Data. - David Bethge; Jieshi Chen; Oliver Grothe; Jonathan Elmer; Artur Dubrawski (ICDM Workshops, 2019)

An Algorithm for Automated, Noninvasive Detection of Cortical Spreading Depolarizations Based on EEG Simulations. - Alireza Chamanzar; Shilpa Anna George; Praveen Venkatesh; Maysamreza Chamanzar; Lori Shutter; Jonathan Elmer; Pulkit Grover (IEEE Trans. Biomed. Eng., 2019)

SmartPrognosis: Automatic ensemble classification for quantitative EEG analysis in patients resuscitated from cardiac arrest. - Fan Yang; Jonathan Elmer; Vladimir I. Zadorozhny (Knowl. Based Syst., 2021)

Predicting Recovery from Coma Following Cardiac Arrest with a Reduced Set of EEG Channels. - Nathan T. Riek; Jonathan Elmer; Salah S. Al-Zaiti; Murat Akçakaya (CinC, 2023)

Neurological Prognostication of Post-Cardiac-Arrest Coma Patients Using EEG Data: A Dynamic Survival Analysis Framework with Competing Risks. - Xiaobin Shen 002; Jonathan Elmer; George H. Chen (MLHC, 2023)

Benefit-aware early prediction of health outcomes on multivariate EEG time series. - Shubhranshu Shekhar; Dhivya Eswaran; Bryan Hooi; Jonathan Elmer; Christos Faloutsos; Leman Akoglu (J. Biomed. Informatics, 2023)

Perils of Label Indeterminacy: A Case Study on Prediction of Neurological Recovery After Cardiac Arrest. - Jakob Schoeffer; Maria De-Arteaga; Jonathan Elmer (FAccT, 2025)

Stepwise Fine and Gray: Subject-Specific Variable Selection Shows When Hemodynamic Data Improves Prognostication of Comatose Post-Cardiac Arrest Patients. - Xiaobin Shen 002; Jonathan Elmer; George H. Chen (CoRR, 2025)