Zobrazeno 1 - 10
of 82
pro vyhledávání: '"Anton J Prassl"'
Autor:
Karli Gillette, Matthias A. F. Gsell, Marina Strocchi, Thomas Grandits, Aurel Neic, Martin Manninger, Daniel Scherr, Caroline H. Roney, Anton J. Prassl, Christoph M. Augustin, Edward J. Vigmond, Gernot Plank
Publikováno v:
Frontiers in Physiology, Vol 13 (2022)
Computer models capable of representing the intrinsic personal electrophysiology (EP) of the heart in silico are termed virtual heart technologies. When anatomy and EP are tailored to individual patients within the model, such technologies are promis
Externí odkaz:
https://doaj.org/article/3ed99362213e4f5eb043e784d51729ad
Autor:
Marina Strocchi, Christoph M Augustin, Matthias A F Gsell, Elias Karabelas, Aurel Neic, Karli Gillette, Orod Razeghi, Anton J Prassl, Edward J Vigmond, Jonathan M Behar, Justin Gould, Baldeep Sidhu, Christopher A Rinaldi, Martin J Bishop, Gernot Plank, Steven A Niederer
Publikováno v:
PLoS ONE, Vol 15, Iss 6, p e0235145 (2020)
Computational models of the heart are increasingly being used in the development of devices, patient diagnosis and therapy guidance. While software techniques have been developed for simulating single hearts, there remain significant challenges in si
Externí odkaz:
https://doaj.org/article/a532251ad151443eaa2782b891eefba8
Publikováno v:
SoftwareX, Vol 11, Iss , Pp - (2020)
Advanced cardiac modeling studies rely on the ability to generate and functionalize personalized in silico models from tomographic multi-label image stacks. Eventually, this is used for building virtual cohorts that capture the variability in size, s
Externí odkaz:
https://doaj.org/article/5b898fafa48949019e0a80ee1ed218d9
This piece of workwas originally published in the Proceedings of Computing in Cardiology 2021 (Volume 28). A title page is included with proper acknowledgements stated that "This project 18HLT07 MedalCare has received funding from the EMPIR programme
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4770ca23e021a6c624f9bbc77762a2f3
Autor:
John Whitaker, Taylor E. Baum, Pierre Qian, Anton J. Prassl, Gernot Plank, Ron Blankstein, Hubert Cochet, William H. Sauer, Martin J. Bishop, Usha Tedrow
Publikováno v:
JACC: Clinical Electrophysiology.
Autor:
'Karli Gillette, Matthias Gsell, Stefan Kurath-Koller, Martin Manninger, Anton J. Prassl, Daniel Scherr, Gernot Plank\\'
Publikováno v:
Computing in Cardiology Conference (CinC).
Autor:
Elias Karabelas, Matthias A. F. Gsell, Christoph M. Augustin, Laura Marx, Aurel Neic, Anton J. Prassl, Leonid Goubergrits, Titus Kuehne, Gernot Plank
Publikováno v:
Frontiers in Physiology, Vol 9 (2018)
Computational fluid dynamics (CFD) models of blood flow in the left ventricle (LV) and aorta are important tools for analyzing the mechanistic links between myocardial deformation and flow patterns. Typically, the use of image-based kinematic CFD mod
Externí odkaz:
https://doaj.org/article/279634a42fd04ef6b04c4d3d4ffc44c7
Autor:
Karli Gillette, Aurel Neic, Anton J. Prassl, Gernot Plank, Julien Bouyssier, Matthias A. F. Gsell, Edward J. Vigmond
Publikováno v:
Annals of Biomedical Engineering
Personalized models of cardiac electrophysiology (EP) that match clinical observation with high fidelity, referred to as cardiac digital twins (CDTs), show promise as a tool for tailoring cardiac precision therapies. Building CDTs of cardiac EP relie
Autor:
Taylor Baum, John Whitaker, Pierre C. Qian, Neha Patil, Anton J. Prassl, Gernot Plank, Hubert Cochet, William H. Sauer, Martin J. Bishop, Usha B. Tedrow
Publikováno v:
Heart Rhythm. 20:S554
Autor:
Pranav Bhagirath, Fernando O. Campos, Caroline M. Costa, Arthur A.M. Wilde, Anton J. Prassl, Aurel Neic, Gernot Plank, Christopher A. Rinaldi, Marco J.W. Götte, Martin J. Bishop
Publikováno v:
Heart rhythm, 19(10), 1604-1610. Elsevier
Bhagirath, P, Campos, F O, Costa, C M, Wilde, A A M, Prassl, A J, Neic, A, Plank, G, Rinaldi, C A, Götte, M J W & Bishop, M J 2022, ' Predicting arrhythmia recurrence following catheter ablation for ventricular tachycardia using late gadolinium enhancement magnetic resonance imaging : Implications of varying scar ranges ', Heart Rhythm, vol. 19, no. 10, pp. 1604-1610 . https://doi.org/10.1016/j.hrthm.2022.05.021
Heart Rhythm, 19(10), 1604-1610. Elsevier
Bhagirath, P, Campos, F O, Costa, C M, Wilde, A A M, Prassl, A J, Neic, A, Plank, G, Rinaldi, C A, Götte, M J W & Bishop, M J 2022, ' Predicting arrhythmia recurrence following catheter ablation for ventricular tachycardia using late gadolinium enhancement magnetic resonance imaging : Implications of varying scar ranges ', Heart Rhythm, vol. 19, no. 10, pp. 1604-1610 . https://doi.org/10.1016/j.hrthm.2022.05.021
Heart Rhythm, 19(10), 1604-1610. Elsevier
Background: Thresholding-based analysis of late gadolinium enhancement cardiac magnetic resonance (LGE-CMR) can create scar maps and identify corridors that might provide a reentrant substrate for ventricular tachycardia (VT). Current recommendations