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Journal Articles

1. Michael Gessat,  Raoul Hopf,  Thomas Pollok,  Christoph Russ,  Thomas Frauenfelder,  Simon H Sündermann,  Sven Hirsch,  Edoardo Mazza,  Gábor Székely,  and Volkmar Falk,  "Image-Based Mechanical Analysis of Stent Deformation. Concept and Exemplary Implementation for TAVI Stents",  IEEE Transactions on Biomedical Engineering, Vol. 60,  No. 1,  pp. 4-15, 2014

Chapters in Books

1. M. Harders,  P. Leskovsky,  T. Cooke,  M. Ernst,  and G. Székely,  "Design and Evaluation of Haptic Soft Tissue Interaction",  The Sense of Touch and Its Rendering, M. Ernst, M.Buss, M. Ueberle, and A. Bicchi, Ed., Springer Verlag,  2008

Conference Papers

1. C. Tanner,  K. Eppenhof,  J. Gelderblom and G. Székely,  "Decision fusion for temporal prediction of respiratory liver motion",  Int. Symposium on Biomedical Imaging (ISBI),  2014
2. Julien Egger,  Ajit S. Mallik,  Dominik Szczerba,  Daniel A. Rüfenacht,  Gabor Székely and Sven Hirsch,  "Spatial stabilization strategies applied to multiphysics modeling of blood clotting using a modified PTT model",  Procedia Computer Science, International Conference on Computational Science, ICCS 2013,  2013
3. B Menze and E Geremia and E Ayache and G Székely,  "Segmenting Glioma in Multi-Modal Images using a Generative-Discriminative Model for Brain Lesion Segmentation",  Proc MICCAI BRATS (Brain Tumor Segmentation Challenge),  2012, in press
4. R. Blanc,  E. Syrkina and G. Székely,  "Estimating the confidence of statistical model based shape prediction",  Information Processing in Medical Imaging, July 2009
5. Stefan C. Saur,  Hatem Alkadhi,  Luca Regazzoni,  Simon Eugster,  Gábor Székely and Philippe Cattin,  "Contrast Enhancement with Dual Energy CT for the Assessment of Atherosclerosis",  Bildverarbeitung für der Medizin 2009,  2009
6. D. Ekatodramis,  G. Székely,  E. Martin and G. Gerig,  "A Simulation Environment for Validation and Comparison of fMRI Evaluation Procedures",  NeuroImage,  1996
7. M. Näf,  O. Kübler,  R. Kikinis,  M.E. Shenton and G. Székely,  "Characterization and Recognition of 3D Organ Shape in Medical",  Proceedings of the IEEE Workshop on Mathematical Methods in Biomedical Image Analysis, June 1996

Technical Reports

1. D. Ekatodramis,  G. Székely and G. Gerig,  "Detecting and Infering Brain Activation from functional MRI by Hypothesis-Testing based on the Likelihood Ratio",  Swiss Federal Institute of Technology ETH, Computer Vision Laboratory, 182, March 1998