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A Statistical Model for Quantification and Prediction of Cardiac Remodelling: Application to Tetralogy of Fallot.

T. Mansi, I. Voigt, B. Leonardi, X. Pennec, S. Durrleman, M. Sermesant, H. Delingette, A. Taylor, Y. Boudjemline, G. Pongiglione, and N. Ayache. IEEE Trans. Med. Imaging, 30 (9): 1605-1616 (2011)

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A Riemannian Framework for Tensor Computing.X. Pennec, P. Fillard, and N. Ayache. International Journal of Computer Vision, 66 (1): 41-66 (2006)Efficient services composition for grid-enabled data-intensive applications.T. Glatard, J. Montagnat, and X. Pennec. HPDC, page 333-334. IEEE, (2006)Reconstructing a 3D structure from serial histological sections.S. Ourselin, A. Roche, G. Subsol, X. Pennec, and N. Ayache. Image Vision Comput., 19 (1-2): 25-31 (2001)Grid-Enabled Non-Rigid Registration Of Medical Images.R. Stefanescu, X. Pennec, and N. Ayache. Parallel Processing Letters, 14 (2): 197-216 (2004)A Probabilistic Model to Analyse Workflow Performance on Production Grids.T. Glatard, J. Montagnat, and X. Pennec. CCGRID, page 510-517. IEEE Computer Society, (2008)Probabilistic and Dynamic Optimization of Job Partitioning on a Grid Infrastructure.T. Glatard, J. Montagnat, and X. Pennec. PDP, page 231-238. IEEE Computer Society, (2006)Probabilities and statistics on Riemannian manifolds: Basic tools for geometric measurements.X. Pennec. NSIP, page 194-198. Bogaziçi University Printhouse, (1999)Randomness and Geometric Features in Computer Vision.X. Pennec, and N. Ayache. CVPR, page 484-491. IEEE Computer Society, (1996)Iconic feature based nonrigid registration: the PASHA algorithm.P. Cachier, E. Bardinet, D. Dormont, X. Pennec, and N. Ayache. Computer Vision and Image Understanding, 89 (2-3): 272-298 (2003)Virtual Reality and Augmented Reality in Digestive Surgery.L. Soler, S. Nicolau, J. Schmid, C. Koehl, J. Marescaux, X. Pennec, and N. Ayache. ISMAR, page 278-279. IEEE Computer Society, (2004)

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A Statistical Model for Quantification and Prediction of Cardiac Remodelling: Application to Tetralogy of Fallot.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML A Statistical Model for Quantification and Prediction of Cardiac Remodelling: Application to Tetralogy of Fallot.

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A Statistical Model for Quantification and Prediction of Cardiac Remodelling: Application to Tetralogy of Fallot.