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A 4D Statistical Shape Model for Automated Segmentation of Lungs with Large Tumors
In: (eds.), 15th International Conference on Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, Nizza, Frankreich, Springer, Berlin, Part II, LNCS 7511, 347-354, 2012
Lung Registration with Improved Fissure Alignment by Integration of Pulmonary Lobe Segmentation
In: (eds.), 15th International Conference on Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, Nizza, Frankreich, Springer, Berlin, Part II, LNCS 7511, 74-81, 2012
Evaluation of Registration Methods on Thoracic CT: The EMPIRE10 Challenge
IEEE Transactions on Medical Imaging, 30, 11, 1901-1920, 2011
Shape Analysis Using a Point-Based Statistical Shape Model Build on Correspondence Probabilites
In: 10th International Conference on Medical Image Computing and Computer-Assisted Intervention 2007, MICCAI 2007, Brisbane, Australia, Springer, Berlin, Part I, 959-967, 2007
Comparison of Statistical Shape Models Built on Correspondence Probabilities and One-to-One Correspondences
In: (eds.), SPIE Medical Imaging 2008, Image Processing, San Diego, Vol. 6914, 4T1-4T9, 2008
Non-linear 2D and 3D Registration Using Block-Matching and B-Splines
In: (eds.), Bildverarbeitung für die Medizin 2005: Algorithmen - Systeme - Anwendungen, Hamburg, Informatik aktuell, Springer-Verlag, 325-329, 2005
A Global Criterion for the Computation of Statistical Shape Model Parameters Based on Correspondence Probabilities
In: (eds.), Bildverarbeitung für die Medizin 2008, Berlin, Informatik aktuell, Springer Verlag, 277-282, 2008
Application of a Probabilistic Statistical Shape Model to Automatic Segmentation
In: (eds.), World Congress on Medical Physics and Biomedical Engineering, Munich, Germany , IFMBE Proceedings, Springer, Berlin Heidelberg, 25/4, 2181-2184, 2009
Computation of a Probabilistic Statistical Shape Model in a Maximum-a-Posteriori Framework
Methods of Information in Medicine, 48, 4, 314-319, 2009
Generation of a statistical shape model with probabilistic point correspondences and the expectation maximization- iterative closest point algorithm
International Journal of Computer Assisted Radiology and Surgery, 2, 5, 265-273, 2008
Point-Based Statistical Shape Models with Probabilistic Correspondences and Affine EM-ICP
In: (eds.), Bildverarbeitung für die Medizin 2007, München, Informatik aktuell, Springer Verlag, 434-438, 2007
Level Set Segmentation Using a Point-Based Statistical Shape Model Relying on Correspondence Probabilities
In: Workshop Probabilistic Models for Medical Image Analysis, PMMIA 09, Medical Image Computing and Computer-Assisted Intervention - MICCAI 2009, London, United Kingdom, 34-44, 2009
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Susanne Petersen
Tel+49 451 3101 5601
Fax+49 451 3101 5604
Ratzeburger Allee 160
23538 Lübeck
Germany