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Using the Universal Atrial Coordinate System for MRI and Electroanatomic Data Registration in Patient-Specific Left Atrial Model Construction and Simulation.

M. Beach, I. Sim, A. Mehta, I. Kotadia, D. O'Hare, J. Whitaker, J. Solís-Lemus, O. Razeghi, A. Chiribiri, M. O'Neill, S. Williams, S. Niederer, and C. Roney. FIMH, volume 12738 of Lecture Notes in Computer Science, page 629-638. Springer, (2021)

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Amedeo Napoli

Amedeo Staiano

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Effects of Tracer Arrival Time on the Accuracy of High-Resolution (Voxel-Wise) Myocardial Perfusion Maps from Contrast-Enhanced First-Pass Perfusion Magnetic Resonance.N. Nooralipour, G. Hautvast, E. Sammut, A. Arujuna, M. Breeuwer, E. Nagel, and A. Chiribiri. IEEE Trans. Biomed. Eng., 61 (9): 2499-2506 (2014)Whole-Heart Coronary MRA with 3D Affine Motion Correction Using 3D Image-Based NavigationM. Henningsson, C. Prieto, A. Chiribiri, G. Vaillant, R. Razavi, and R. Botnar. Magn Reson Med, (2013)Using the Universal Atrial Coordinate System for MRI and Electroanatomic Data Registration in Patient-Specific Left Atrial Model Construction and Simulation.M. Beach, I. Sim, A. Mehta, I. Kotadia, D. O'Hare, J. Whitaker, J. Solís-Lemus, O. Razeghi, A. Chiribiri, M. O'Neill and 3 other author(s). FIMH, volume 12738 of Lecture Notes in Computer Science, page 629-638. Springer, (2021)Deep learning-based prediction of kinetic parameters from myocardial perfusion MRI.C. Scannell, P. van den Bosch, A. Chiribiri, J. Lee, M. Breeuwer, and M. Veta. CoRR, (2019)Myocardial Blood Flow Quantification From MRI by Deconvolution Using an Exponential Approximation Basis.G. Hautvast, A. Chiribiri, N. Nooralipour, A. Schuster, M. Breeuwer, and E. Nagel. IEEE Trans. Biomed. Eng., 59 (7): 2060-2067 (2012)Domain-Adversarial Learning for Multi-Centre, Multi-Vendor, and Multi-Disease Cardiac MR Image Segmentation.C. Scannell, A. Chiribiri, and M. Veta. M&Ms and EMIDEC/STACOM@MICCAI, volume 12592 of Lecture Notes in Computer Science, page 228-237. Springer, (2020)ARMA regularization of cardiac perfusion modeling.P. Batchelor, A. Chiribiri, N. Nooralipour, and Z. Cvetkovic. ICASSP, page 642-645. IEEE, (2010)Modelling Parameter Role on Accuracy of Cardiac Perfusion Quantification.N. Nooralipour, A. Chiribiri, G. Hautvast, A. Schuster, M. Sinclair, J. van den Wijngaard, N. Smith, J. Spaan, M. Siebes, M. Breeuwer and 1 other author(s). FIMH, volume 7945 of Lecture Notes in Computer Science, page 370-382. Springer, (2013)Physics-informed neural networks for myocardial perfusion MRI quantification.R. van Herten, A. Chiribiri, M. Breeuwer, M. Veta, and C. Scannell. CoRR, (2020)CardiSort: a convolutional neural network for cross vendor automated sorting of cardiac MR images.R. Lim, S. Kachel, A. Villa, L. Kearney, N. Bettencourt, A. Young, A. Chiribiri, and C. Scannell. CoRR, (2021)

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Amedeo Napoli

Amedeo Staiano

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BibSonomy

Disambiguation of "Chiribiri, Amedeo"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Using the Universal Atrial Coordinate System for MRI and Electroanatomic Data Registration in Patient-Specific Left Atrial Model Construction and Simulation.

Please choose a person to relate this publication to

Amedeo Napoli

Amedeo Staiano

Other publications of authors with the same name

Disambiguation