Standard

Gaussian process regressions for inverse problems and parameter searches in models of ventricular mechanics. / Di Achille, Paolo; Harouni, Ahmed; Khamzin, Svyatoslav et al.
In: Frontiers in Physiology, Vol. 9, No. AUG, 1002, 14.08.2018.

Research output: Contribution to journal › Article › peer-review

Harvard

Di Achille, P, Harouni, A, Khamzin, S, Solovyova, O, Rice, JJ & Gurev, V 2018, 'Gaussian process regressions for inverse problems and parameter searches in models of ventricular mechanics', Frontiers in Physiology, vol. 9, no. AUG, 1002. https://doi.org/10.3389/fphys.2018.01002

APA

Di Achille, P., Harouni, A., Khamzin, S., Solovyova, O., Rice, J. J., & Gurev, V. (2018). Gaussian process regressions for inverse problems and parameter searches in models of ventricular mechanics. Frontiers in Physiology, 9(AUG), [1002]. https://doi.org/10.3389/fphys.2018.01002

Vancouver

Di Achille P, Harouni A, Khamzin S, Solovyova O, Rice JJ, Gurev V. Gaussian process regressions for inverse problems and parameter searches in models of ventricular mechanics. Frontiers in Physiology. 2018 Aug 14;9(AUG):1002. doi: 10.3389/fphys.2018.01002

Author

Di Achille, Paolo ; Harouni, Ahmed ; Khamzin, Svyatoslav et al. / Gaussian process regressions for inverse problems and parameter searches in models of ventricular mechanics. In: Frontiers in Physiology. 2018 ; Vol. 9, No. AUG.

BibTeX

@article{ca85312b7b5146af9ede277b374e4040,
title = "Gaussian process regressions for inverse problems and parameter searches in models of ventricular mechanics",
keywords = "FEM, Infarct model, Inverse optimization, Kriging, LV mechanics, Statistical learning, Unloaded configuration, statistical learning, inverse optimization, kriging, QUANTIFICATION, PASSIVE MYOCARDIUM, HEART, COMPUTER, DEFORMATIONS, FRAMEWORK, DYNAMICS, infarct model, unloaded configuration, OPTIMIZATION, PROPAGATION, GEOMETRY",
author = "{Di Achille}, Paolo and Ahmed Harouni and Svyatoslav Khamzin and Olga Solovyova and Rice, {John J.} and Viatcheslav Gurev",
year = "2018",
month = aug,
day = "14",
doi = "10.3389/fphys.2018.01002",
language = "English",
volume = "9",
journal = "Frontiers in Physiology",
issn = "1664-042X",
publisher = "Frontiers Media S.A.",
number = "AUG",

}

RIS

TY - JOUR

T1 - Gaussian process regressions for inverse problems and parameter searches in models of ventricular mechanics

AU - Di Achille, Paolo

AU - Harouni, Ahmed

AU - Khamzin, Svyatoslav

AU - Solovyova, Olga

AU - Rice, John J.

AU - Gurev, Viatcheslav

PY - 2018/8/14

Y1 - 2018/8/14

KW - FEM

KW - Infarct model

KW - Inverse optimization

KW - Kriging

KW - LV mechanics

KW - Statistical learning

KW - Unloaded configuration

KW - statistical learning

KW - inverse optimization

KW - kriging

KW - QUANTIFICATION

KW - PASSIVE MYOCARDIUM

KW - HEART

KW - COMPUTER

KW - DEFORMATIONS

KW - FRAMEWORK

KW - DYNAMICS

KW - infarct model

KW - unloaded configuration

KW - OPTIMIZATION

KW - PROPAGATION

KW - GEOMETRY

UR - http://www.scopus.com/inward/record.url?scp=85051682472&partnerID=8YFLogxK

UR - https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=tsmetrics&SrcApp=tsm_test&DestApp=WOS_CPL&DestLinkType=FullRecord&KeyUT=000441681600001

UR - https://elibrary.ru/item.asp?id=35723733

U2 - 10.3389/fphys.2018.01002

DO - 10.3389/fphys.2018.01002

M3 - Article

AN - SCOPUS:85051682472

VL - 9

JO - Frontiers in Physiology

JF - Frontiers in Physiology

SN - 1664-042X

IS - AUG

M1 - 1002

ER -

ID: 7764231