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Statistical Shape Modeling of the Left Ventricle: Myocardial Infarct Classification Challenge.

A. Suinesiaputra, P. Ablin, X. Albà, M. Alessandrini, J. Allen, W. Bai, S. Çimen, P. Claes, B. Cowan, J. D'hooge, N. Duchateau, J. Ehrhardt, A. Frangi, A. Gooya, V. Grau, K. Lekadir, A. Lu, A. Mukhopadhyay, I. Öksüz, N. Parajuli, X. Pennec, M. Pereañez, C. Pinto, P. Piras, M. Rohé, D. Rueckert, D. Säring, M. Sermesant, K. Siddiqi, M. Tabassian, L. Teresi, S. Tsaftaris, M. Wilms, A. Young, X. Zhang, and P. Medrano-Gracia. IEEE J. Biomedical and Health Informatics, 22 (2): 503-515 (2018)

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Geometric Means in a Novel Vector Space Structure on Symmetric Positive-Definite Matrices.V. Arsigny, P. Fillard, X. Pennec, and N. Ayache. SIAM J. Matrix Analysis Applications, 29 (1): 328-347 (2006)A Fast and Log-Euclidean Polyaffine Framework for Locally Linear Registration.V. Arsigny, O. Commowick, N. Ayache, and X. Pennec. Journal of Mathematical Imaging and Vision, 33 (2): 222-238 (2009)Sparsity and scale: Compact representations of deformation for diffeomorphic registration.S. Sommer, M. Nielsen, and X. Pennec. MMBIA, page 217-224. IEEE, (2012)Medical image registration algorithms assesment: Bronze Standard application enactment on grids using the MOTEUR workflow engine.T. Glatard, J. Montagnat, and X. Pennec. HealthGrid, volume 120 of Studies in Health Technology and Informatics, page 93-103. IOS Press, (2006)Grid-enabling medical image analysis.C. Germain, V. Breton, P. Clarysse, Y. Gaudeau, T. Glatard, E. Jeannot, Y. Legré, C. Loomis, J. Montagnat, J. Moureaux and 3 other author(s). CCGRID, page 487-495. IEEE Computer Society, (2005)Spectral Log-Demons: Diffeomorphic Image Registration with Very Large Deformations.H. Lombaert, L. Grady, X. Pennec, N. Ayache, and F. Cheriet. International Journal of Computer Vision, 107 (3): 254-271 (2014)3D anatomical variability assessment of the scoliotic spine using statistics on Lie groups.J. Boisvert, X. Pennec, N. Ayache, H. Labelle, and F. Cheriet. ISBI, page 750-753. IEEE, (2006)Parametric regression of 3D medical images through the exploration of non-parametric regression models.C. Seiler, X. Pennec, and M. Reyes. ISBI, page 452-455. IEEE, (2010)A Survey of Mathematical Structures for Extending 2D Neurogeometry to 3D Image Processing.N. Miolane, and X. Pennec. MCV@MICCAI, volume 9601 of Lecture Notes in Computer Science, page 155-167. Springer, (2015)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 1 other author(s). IEEE Trans. Med. Imaging, 30 (9): 1605-1616 (2011)

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Statistical Shape Modeling of the Left Ventricle: Myocardial Infarct Classification Challenge.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Statistical Shape Modeling of the Left Ventricle: Myocardial Infarct Classification Challenge.

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Statistical Shape Modeling of the Left Ventricle: Myocardial Infarct Classification Challenge.