Publications of Tobias Heimann

1. C. Öhman, D. M. Espino, T. Heimann, M. Baleani, H. Delingette, and M. Viceconti. Subject-specific knee joint model: Design of an experiment to validate a multi-body finite element model. The Visual Computer, 27:153-159, 2011. [bibtex-entry]



2. T. Heimann and Hervé Delingette. Model-based segmentation. In Thomas Martin Deserno, editor, Biomedical Image Processing. Springer, 2011. ISBN: 978-3-642-15815-5. [bibtex-entry]



3. Stéphanie Marchesseau, T. Heimann, Simon Chatelin, Rémy Willinger, and Hervé Delingette. Fast porous visco-hyperelastic soft tissue model for surgery simulation: application to liver surgery. Progress in Biophysics and Molecular Biology, 103(2-3):185-196, 2010. [bibtex-entry]

1. Roch Molléro, Hervé Delingette, Manasi Datar, Tobias Heimann, Jakob Hauser, Dilveer Panesar, Alexander Jones, Andrew Taylor, Marcus Kelm, Titus Kuehne, Marcello Chinali, Gabriele Rinelli, Nicholas Ayache, Xavier Pennec, and Maxime Sermesant. Longitudinal Analysis using Personalised 3D Cardiac Models with Population-Based Priors: Application to Paediatric Cardiomyopathies. In Medical Image Computing and Computer Assisted Intervention (MICCAI), Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2017, Québec City, Canada, pages 350-358, September 2017. Springer International Publishing. [bibtex-entry]



2. Roch Molléro, Jakob Hauser, Xavier Pennec, Manasi Datar, Hervé Delingette, Alexander Jones, Nicholas Ayache, Tobias Heimann, and Maxime Sermesant. Longitudinal Parameter Estimation in 3D Electromechanical Models: Application to Cardiovascular Changes in Digestion. In FIMH 2017 - 9th international conference on Functional Imaging and Modeling of the Heart, Functional Imaging and Modelling of the Heart, Toronto, Canada, pages 432-440, June 2017. Springer International Publishing. [bibtex-entry]



3. Marc-Michel Rohé, Manasi Datar, Tobias Heimann, Maxime Sermesant, and Xavier Pennec. SVF-Net: Learning Deformable Image Registration Using Shape Matching. In MICCAI 2017 - the 20th International Conference on Medical Image Computing and Computer Assisted Intervention, Medical Image Computing and Computer Assisted Intervention -- MICCAI 2017, Québec, Canada, pages 266-274, September 2017. Springer International Publishing. Keyword(s): Deep Learning, Cardiac Imaging, Registration. [bibtex-entry]



4. Stéphanie Marchesseau, T. Heimann, Simon Chatelin, Rémy Willinger, and Hervé Delingette. Multiplicative Jacobian Energy Decomposition Method for Fast Porous Visco-Hyperelastic Soft Tissue Model. In Proc. Medical Image Computing and Computer Assisted Intervention (MICCAI'10), LNCS, Beijing, China, September 2010. Springer. [bibtex-entry]



5. Tobias Heimann, François Chung, Hans Lamecker, and Hervé Delingette. Subject-Specific Ligament Models: Towards Real-Time Simulation of the Knee Joint. In Computational Biomechanics for Medicine IV Workshop 2009, September 2009. [bibtex-entry]

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