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Myocardial perfusion distribution and coronary arterial pressure and flow signals: clinical relevance in relation to multiscale modeling, a review.

F. Nolte, E. Hyde, C. Rolandi, J. Lee, P. van Horssen, K. Asrress, J. van den Wijngaard, A. Cookson, T. van de Hoef, R. Chabiniok, R. Razavi, C. Michler, G. Hautvast, J. Piek, M. Breeuwer, M. Siebes, E. Nagel, N. Smith, and J. Spaan. Med. Biol. Engineering and Computing, 51 (11): 1271-1286 (2013)

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The importance of the pericardium for cardiac biomechanics: From physiology to computational modeling.M. Pfaller, J. Hörmann, M. Weigl, A. Nagler, R. Chabiniok, C. Bertoglio, and W. Wall. CoRR, (2018)Trials on Tissue Contractility Estimation from Cardiac Cine MRI Using a Biomechanical Heart Model.R. Chabiniok, P. Moireau, P. Lesault, A. Rahmouni, J. Deux, and D. Chapelle. FIMH, volume 6666 of Lecture Notes in Computer Science, page 304-312. Springer, (2011)Personalised Electromechanical Model of the Heart for the Prediction of the Acute Effects of Cardiac Resynchronisation Therapy.M. Sermesant, F. Billet, R. Chabiniok, T. Mansi, P. Chinchapatnam, P. Moireau, J. Peyrat, K. Rhode, M. Ginks, P. Lambiase and 7 other author(s). FIMH, volume 5528 of Lecture Notes in Computer Science, page 239-248. Springer, (2009)Steps Towards Quantification of the Cardiological Stress Exam.R. Chabiniok, E. Sammut, M. Hadjicharalambous, L. Asner, D. Nordsletten, R. Razavi, and N. cSmith. FIMH, volume 9126 of Lecture Notes in Computer Science, page 12-20. Springer, (2015)Myocardial perfusion distribution and coronary arterial pressure and flow signals: clinical relevance in relation to multiscale modeling, a review.F. Nolte, E. Hyde, C. Rolandi, J. Lee, P. van Horssen, K. Asrress, J. van den Wijngaard, A. Cookson, T. van de Hoef, R. Chabiniok and 9 other author(s). Med. Biol. Engineering and Computing, 51 (11): 1271-1286 (2013)Manifold Learning for Cardiac Modeling and Estimation Framework.R. Chabiniok, K. Bhatia, A. King, D. Rueckert, and N. Smith. STACOM, volume 8896 of Lecture Notes in Computer Science, page 284-294. Springer, (2014)Constitutive Parameter Estimation Methodology Using Tagged-MRI Data.A. Imperiale, R. Chabiniok, P. Moireau, and D. Chapelle. FIMH, volume 6666 of Lecture Notes in Computer Science, page 409-417. Springer, (2011)Eidolon: Visualization and Computational Framework for Multi-modal Biomedical Data Analysis.E. Kerfoot, L. Fovargue, S. Rivolo, W. Shi, D. Rueckert, D. Nordsletten, J. Lee, R. Chabiniok, and R. Razavi. MIAR, volume 9805 of Lecture Notes in Computer Science, page 425-437. Springer, (2016)Segmentation of MRI data by means of nonlinear diffusion.R. Chabiniok, R. Máca, M. Benes, and J. Tintera. Kybernetika, 49 (2): 301-318 (2013)Minimally-Invasive Estimation of Patient-Specific End-Systolic Elastance Using a Biomechanical Heart Model.A. Gall, F. Vallée, D. Chapelle, and R. Chabiniok. FIMH, volume 11504 of Lecture Notes in Computer Science, page 266-275. Springer, (2019)

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Disambiguation of "Chabiniok, Radomír"

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Myocardial perfusion distribution and coronary arterial pressure and flow signals: clinical relevance in relation to multiscale modeling, a review.

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Disambiguation of "Chabiniok, Radomír"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Myocardial perfusion distribution and coronary arterial pressure and flow signals: clinical relevance in relation to multiscale modeling, a review.

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