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Learning Associations Between Clinical Information and Motion-Based Descriptors Using a Large Scale MR-derived Cardiac Motion Atlas.

E. Puyol-Antón, B. Ruijsink, H. Langet, M. Craene, P. Piro, J. Schnabel, and A. King. STACOM@MICCAI, volume 11395 of Lecture Notes in Computer Science, page 94-102. Springer, (2018)

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Jörg Desel

Das ist InformatikJ. Desel (Eds.) Springer, (2001)

Das ist InformatikJ. Desel (Eds.) Springer, (2001)Hilfreiche Hilfe Methode, Implementierung und Evaluation eines Verfahrens zur Adaption an das prozedurale WissenD. Iglezakis. Kath. Universität Eichstätt-Ingolstadt, Aachen, (2007)Hilfreiche Hilfe Methode, Implementierung und Evaluation eines Verfahrens zur Adaption an das prozedurale WissenD. Iglezakis. Kath. Universität Eichstätt-Ingolstadt, Aachen, (2007)

Univ. -Prof. Dr. Gerd de Bruyn University of Stuttgart

Anda Degeratu University of Stuttgart

Daniel Del Gaudio University of Stuttgart

Ph. D. Luiz de Oliveira Chamon University of Stuttgart

Other publications of authors with the same name

Benchmarking framework for myocardial tracking and deformation algorithms: An open access database.C. Tobon-Gomez, M. Craene, K. McLeod, L. Tautz, W. Shi, A. Hennemuth, A. Prakosa, H. Wang, G. Carr-White, S. Kapetanakis and 15 other author(s). Medical Image Analysis, 17 (6): 632-648 (2013)A spatiotemporal statistical atlas of motion for the quantification of abnormal myocardial tissue velocities.N. Duchateau, M. Craene, G. Piella, E. Silva, A. Doltra, M. Sitges, B. Bijnens, and A. Frangi. Medical Image Analysis, 15 (3): 316-328 (2011)3D harmonic phase tracking with anatomical regularization.Y. Zhou, O. Bernard, E. Saloux, A. Manrique, P. Allain, S. Makram-Ebeid, and M. Craene. Medical Image Analysis, 26 (1): 70-81 (2015)3D bone mineral density distribution and shape reconstruction of the proximal femur from a single simulated DXA image: an in vitro study.T. Whitmarsh, L. Humbert, M. Craene, L. del Río Barquero, K. Fritscher, R. Schubert, F. Eckstein, T. Link, and A. Frangi. Medical Imaging: Image Processing, volume 7623 of SPIE Proceedings, page 76234U. SPIE, (2010)Dense deformation field estimation for atlas-based segmentation of pathological MR brain images.M. Cuadra, M. Craene, V. Duay, B. Macq, C. Pollo, and J. Thiran. Computer Methods and Programs in Biomedicine, 84 (2-3): 66-75 (2006)3D Atlas Building in the Context of Head and Neck Radiotherapy Based on Dense Deformation Fields.A. Parraga, A. Susin, J. Pettersson, B. Macq, and M. Craene. SIBGRAPI, page 321-328. IEEE Computer Society, (2007)Multi-subject variational registration for probabilistic unbiased atlas generation.M. Craene, A. du Bois d'Aische, B. Macq, and S. Warfield. ICIP (3), page 601-604. IEEE, (2005)Fully automated myocardial strain estimation from cine MRI using convolutional neural networks.E. Puyol-Antón, B. Ruijsink, W. Bai, H. Langet, M. Craene, J. Schnabel, P. Piro, A. King, and M. Sinclair. ISBI, page 1139-1143. IEEE, (2018)Estimating 3D Ventricular Shape From 2D Echocardiography: Feasibility and Effect of Noise.G. Bernardino, C. Butakoff, M. Garcia, S. Sarvari, M. Rodriguez-Lopez, F. Crispi, M. Ballester, M. Craene, and B. Bijnens. FIMH, volume 10263 of Lecture Notes in Computer Science, page 450-460. Springer, (2017)Characterizing Patterns of Response During Mild Stress-Testing in Continuous Echocardiography Recordings Using a Multiview Dimensionality Reduction Technique.M. Nogueira, G. Piella, S. Sanchez-Martinez, H. Langet, E. Saloux, B. Bijnens, and M. Craene. FIMH, volume 10263 of Lecture Notes in Computer Science, page 502-513. Springer, (2017)