@inproceedings{ffc10e9d22be4ef6bea677285b20a1bd,
title = "Quantifying the uncertainty in model parameters using gaussian process-based markov chain monte carlo: An application to cardiac electrophysiological models",
keywords = "Gaussian process, Markov chain monte carlo, Personalized modeling, Probabilistic parameter estimation",
author = "Jwala Dhamala and Sapp, {John L.} and Milan Horacek and Linwei Wang",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2017.; 25th International Conference on Information Processing in Medical Imaging, IPMI 2017 ; Conference date: 25-06-2017 Through 30-06-2017",
year = "2017",
doi = "10.1007/978-3-319-59050-9_18",
language = "English",
isbn = "9783319590493",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "223--235",
editor = "Hongtu Zhu and Marc Niethammer and Martin Styner and Hongtu Zhu and Dinggang Shen and Pew-Thian Yap and Stephen Aylward and Ipek Oguz",
booktitle = "Information Processing in Medical Imaging - 25th International Conference, IPMI 2017, Proceedings",
address = "Germany",
}