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Combination of Polyaffine Transformations and Supervised Learning for the Automatic Diagnosis of LV Infarct.

M. Rohé, N. Duchateau, M. Sermesant, and X. Pennec. STACOM@MICCAI, volume 9534 of Lecture Notes in Computer Science, page 190-198. Springer, (2015)

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Johannes Michel University of Stuttgart

Michel Choudalakis University of Stuttgart

Michel Mom University of Stuttgart

Dominic Marcello

Dipl.-Ing. Marc Riedlinger

An adaptive self-managing platform for cabin management systemsM. Riedlinger, O. Marquardt, R. Ahmadi, and R. Reichel. CEAS Aeronautical Journal, 7 (3): 483--498 (2016)

An adaptive self-managing platform for cabin management systemsM. Riedlinger, O. Marquardt, R. Ahmadi, and R. Reichel. CEAS Aeronautical Journal, 7 (3): 483--498 (2016)DIANA - Technologien für eine Energie-autarke, intelligente Kabine: Selbstadaptive Kabinenelektronik Plattform : Schlussbericht :M. Riedlinger, and R. Reichel. (2015)An adaptive middleware approach for fault-tolerant avionic systemsO. Marquardt, M. Riedlinger, R. Ahmadi, and R. Reichel. 2015 IEEE Aerospace Conference, Institute of Electrical and Electronics Engineers (IEEE), (March 2015)

Other publications of authors with the same name

Combination of Polyaffine Transformations and Supervised Learning for the Automatic Diagnosis of LV Infarct.M. Rohé, N. Duchateau, M. Sermesant, and X. Pennec. STACOM@MICCAI, volume 9534 of Lecture Notes in Computer Science, page 190-198. Springer, (2015)Barycentric Subspace Analysis: A New Symmetric Group-Wise Paradigm for Cardiac Motion Tracking.M. Rohé, M. Sermesant, and X. Pennec. MICCAI (3), volume 9902 of Lecture Notes in Computer Science, page 300-307. (2016)Prediction of Post-Ablation Outcome in Atrial Fibrillation Using Shape Parameterization and Partial Least Squares Regression.S. Jia, C. Camaioni, M. Rohé, P. Jaïs, X. Pennec, H. Cochet, and M. Sermesant. FIMH, volume 10263 of Lecture Notes in Computer Science, page 311-321. Springer, (2017)Highly reduced model of the cardiac function for fast simulation.M. Rohé, R. Molléro, M. Sermesant, and X. Pennec. IVMSP, page 1-5. IEEE, (2016)SVF-Net: Learning Deformable Image Registration Using Shape Matching.M. Rohé, M. Datar, T. Heimann, M. Sermesant, and X. Pennec. MICCAI (1), volume 10433 of Lecture Notes in Computer Science, page 266-274. Springer, (2017)Automatic Multi-Atlas Segmentation of Myocardium with SVF-Net.M. Rohé, M. Sermesant, and X. Pennec. STACOM@MICCAI, volume 10663 of Lecture Notes in Computer Science, page 170-177. Springer, (2017)Propagation of Myocardial Fibre Architecture Uncertainty on Electromechanical Model Parameter Estimation: A Case Study.R. Molléro, D. Neumann, M. Rohé, M. Datar, H. Lombaert, N. Ayache, D. Comaniciu, O. Ecabert, M. Chinali, G. Rinelli and 3 other author(s). FIMH, volume 9126 of Lecture Notes in Computer Science, page 448-456. Springer, (2015)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 and 26 other author(s). IEEE J. Biomedical and Health Informatics, 22 (2): 503-515 (2018)Low-dimensional representation of cardiac motion using Barycentric Subspaces: A new group-wise paradigm for estimation, analysis, and reconstruction.M. Rohé, M. Sermesant, and X. Pennec. Medical Image Analysis, (2018)Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?O. Bernard, A. Lalande, C. Zotti, F. Cervenansky, X. Yang, P. Heng, I. Cetin, K. Lekadir, O. Camara, M. Ballester and 27 other author(s). IEEE Trans. Med. Imaging, 37 (11): 2514-2525 (2018)