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Ehrhardt J., Handels H.
Motion Estimation in Artifact-affected 4D CT Images Using Temporal Consistent Model-based Registration with Local Adaptive Weights
In: MICCAI Workshop Image Guided Radiation Therapy, 17th International Conference on Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, Boston, 5-12, 2014
Maier O., Handels H.
MS lesion segmentation in MRI with random forests
Proc. 2015 Longitudinal Multiple Sclerosis Lesion Segmentation Challenge, 1-2, 2015
Heinrich M.P., Wilms M., Handels H.
Multi-Atlas Segmentation using Patch-Based Joint Label Fusion with Non-Negative Least Squares Regression
In: MICCAI Workshop on Patch-based Techniques in Medical Imaging, Patch-MI 2015, 18th International Conference on Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, München, Lecture Notes in Computer Science, LNCS Vol. 9467, 146-153, 2015
Krüger J., Ehrhardt J., Handels H.
Multi-level approach for statistical appearance models with probabilistic correspondences
In: Styner M.A., Angelini E.D. (eds.), SPIE Medical Imaging 2016: Image Processing, San Diego, California, United States, SPIE, 9784, 978433-978433-6, 2016
Heinrich M.P., Maier O., Handels H.
Multi-modal Multi-Atlas Segmentation using Discrete Optimisation and Self-Similarities
In: VISCERAL Anatomy3 Segmentation Challenge co-located with IEEE International Symposium on Biomedical Imaging - ISBI 2015, Procceedings, VISCERAL@ISBI 2015, CEUR-WS.org, 2015
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Ha I.Y., Wilms M., Heinrich M.P.
Multi-object segmentation in chest X-ray using cascaded regression ferns
In: Maier-Hein K.H., Deserno T.M., Handels H., Tolxdorff T. (eds.), Bildverarbeitung in der Medizin 2017, Heidelberg, Informatik aktuell, Springer Vieweg, Berlin Heidelberg, 254-259, 2017
Uzunova H., Ehrhardt J., Jacob F., Frydrychowicz A., Handels H.
Multi-scale GANs for Memory-efficient Generation of High Resolution Medical Images
In: 22nd International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2019, Shenzen, China, 11769, 112-120, 2019
Schultz S., Handels H., Ehrhardt J.
A multilevel Markov Chain Monte Carlo approach for uncertainty quantification in deformable registration
In: Angelini E.D. (ed.), SPIE Medical Imaging 2018: Image Processing, Houston, Texas, United States, SPIE, 10574, 105740O-1-105740O-8, 2018
Wessel J., Heinrich M.P.
Multiple Landmark Localization in medical CT Scans using Deep Neural Networks with Heatmap Regression
In: Buzug T.M., Handels H., Klein S. (eds.), Student Conference 2018, Medical Engineering Science, Medical Informatics and Biomediacal Engineering, Lübeck, Infinite Science Publishing, 197-200, 2018
Heinrich M.P., Papiez B.W., Schnabel J., Handels H.
Multispectral Image Registration Based on Local Canonical Correlation Analysis
In: Golland P., Hata N., Barillot C., Hornegger J., Howe R. (eds.), 17th International Conference on Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, Boston, Springer, Berlin, Part I, LNCS 8673, 202-209, 2014
Landwehr L., Bouwman C., Aben J.P., Prinzen F.W., Heinrich M.P.
Myocardial Strain Measurement – A Registrational Method with Block Matching Approach–
In: Buzug T.M., Handels H. (eds.), Student Conference 2016, Medical Engineering Science and Medical Informatics, Lübeck, Infinite Science Publishing, 195-198, 2016
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Färber M., Dahmke T., Bohn C.-A., Handels H.
Needle Bending in a VR-Puncture Training System Using a 6DOF Haptic Device
In: MMVR17, Long Beach, USA, Studies in health technology and informatics, http://www.ncbi.nlm.nih.gov/pubmed/19377121?dopt=Abstract, 142, 91-3, 2009
Abstract
Säring D., Ehrhardt J., Handels H., Pöppl S.J.
Nicht-lineare voxelbasierte Registrierung unter Einbeziehung von Differentialeigenschaften
In: Tolxdorff T., et al (eds.), Bildverarbeitung für die Medizin 2004: Algorithmen - Systeme - Anwendungen, Berlin, Informatik aktuell, Springer-Verlag, 284-288, 2004
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Hufnagel H., Pennec X., Malandin G., Handels H., Ayache N.
Non-linear 2D and 3D Registration Using Block-Matching and B-Splines
In: Meinzer H.-P., Handels H., Horsch A., Tolxdorff T. (eds.), Bildverarbeitung für die Medizin 2005: Algorithmen - Systeme - Anwendungen, Hamburg, Informatik aktuell, Springer-Verlag, 325-329, 2005
Heinrich M.P., Papiez B.W., Schnabel J., Handels H.
Non-Parametric Discrete Registration with Convex Optimisation
In: Ourselin S., Modat M. (eds.), Biomedical Image Registration, WBIR 2014, London, Springer, Berlin, LNCS 8545, 51-61, 2014
Rexilius J., Warfield S.K., Guttmann C.R.G., Wei X., Benson R., Wolfson L., Shenton M., Handels H., Kikinis R.
A Novel Nonrigid Registration Algorithm and Applications
In: Niessen W.J., Viergever M.A. (eds.), Fourth International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2001, Ütrecht, Springer Verlag, 923-93, 2001
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Handels H., Roßmanith C., Rinast, E, Weiss H.-D., Pöppl S.J.
Objektbezogene Bildanalyse von Hirntumoren zur Unterstützung der neuroradiologischen Diagnostik
In: Trampisch H.J., Lange S. (eds.), 40. Jahrestagung der GMDS 1995, Bochum, Medizinische Forschung - Ärztliches Handeln, MMV Verlag, München, 232-235, 1995
Laule D., Diesel J., Heinrich M.P.
Occlusion Estimation in 3D Point Clouds using Visual Data from Home Care Scenarios
In: Buzug T.M., Handels H., Klein S. (eds.), Student Conference 2018, Medical Engineering Science, Medical Informatics and Biomediacal Engineering, Lübeck, Infinite Science Publishing, 185-188, 2018
Ehrhardt J., Säring D., Handels H.
Optical Flow-based Interpolation of Temporal Image Sequences
In: Reinhardt J.M., Pluim P.W. (eds.), Image Processing, SPIE Medical Imaging 2006, San Diego, Vol. 6144, 61442K-1-61442K-8, 2006
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Schröder C., Mastmeyer A., Fortmeier D., Bohn C.-A., Nabavi A., Handels H.
Optimierung von Schädelöffnungen mittels genetischer Algorithmen für die Behandlung subduraler Hämatome
In: 11. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie, CURAC 2012, Düsseldorf, 4Seiten, 2012
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Wilms M., Handels H., Ehrhardt J.
Patch-Based Learning of Shape, Appearance, and Motion Models from Few Training Samples by Low-Rank Matrix Completion
In: Maier-Hein K.H., Deserno T.M., Handels H., Tolxdorff T. (eds.), Bildverarbeitung für die Medizin 2017, Heidelberg, Informatik aktuell, Springer Vieweg, Berlin Heidelberg, 215-216, 2017
Ehrhardt J., Wilms M., Handels H.
Patch-based Low-rank Matrix Completion for Learning of Shape and Motion Models from Few Training Samples
In: 14th European Conference on Computer Vision (ECCV) 2016, Amsterdam, Lecture Notes in Computer Science, 9908, 712-727, 2016
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Mastmeyer A.
Patientenspezifische Virtual-Reality-Simulationen, Ultraschallgestützte Nadelpunktionen in atmungsbewegten virtuellen Patienten
Handels H. (ed.), Research Series of the Institute of Medical Informatics, University of Lübeck, Infinite Science Publishing, Lübeck, 2018
Wilms M., Werner R., Yamamoto T., Handels H., Ehrhardt J.
Population-based Correspondence Models for Respiratory Motion Estimation in the Presence of Interfraction Motion Variations
In: Imaging and Computer Assistance in Radiation Therapy, ICART 2015, 18th International Conference on Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, München, 81-88, 2015
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Mastmeyer A., Wilms M., Handels H.
Population-based Respiratory 4D Motion Atlas Construction and its Application for VR Simulations of Liver Punctures
In: Angelini E.D. (ed.), SPIE Medical Imaging 2018: Image Processing, Houston, Texas, United States, SPIE, 10574, 1057417-1-1057417-7, 2018
Mastmeyer A., Wilms M., Handels H.
Populationsbasierte 4D Bewegungsatlanten für VR Simulationen
In: Maier A., Deserno T.M., Handels H., Maier-Hein K.H., Palm C., Tolxdorff T. (eds.), Bildverarbeitung für die Medizin 2018, Erlangen, Informatik aktuell, Springer Vieweg, Berlin Heidelberg, 200, 2018
Ehrhardt J., Werner R., Schmidt-Richberg A., Handels H.
Prediction of Respiratory Motion Using A Statistical 4D Mean Motion Model
In: The Second International Workshop on Pulmonary Image Analysis, Medical Image Computing and Computer-Assisted Intervention - MICCAI 2009, London, United Kingdom, http://www.ncbi.nlm.nih.gov/pubmed/20876013?dopt=Abstract, 3-14, 2009
Krüger J., Ehrhardt J., Handels H.
Probabilistic Appearance Models for Medical Image Analysis
In: Maier A., Deserno T.M., Handels H., Maier-Hein K.H., Palm C., Tolxdorff T. (eds.), Bildverarbeitung für die Medizin 2018, Erlangen, Informatik aktuell, Springer Vieweg, Berlin Heidelberg, 37-38, 2018
Krüger J., Ehrhardt J., Handels H.
Probabilistic Appearance Models for Segmentation and Classification
In: International Conference on Computer Vision - ICCV 2015, Santiago de Chile, Chile, 1698-1706, 2015
Krüger J., Ehrhardt J., Schultz S., Handels H.
A Probabilistic Approach for the Registration of Images with Missing Correspondences
In: SPIE 10949, Medical Imaging 2019: Image Processing, San Diego, USA, 10949, 1094925-1-10949251-8, 2019
Krüger J., Ehrhardt J., Handels H.
Probabilistic Shape and Appearance Models without One-to-One Correspondences
In: 1st Symposium on Statistical Shape Models and Applications, Shape 2014, Delemont, Switzerland, Proceedings, 22, 2014
Hahn C., Handels H., Nitschke M., Melchert U., Pöppl S.J.
Probabilistische Relaxation zur Segmentierung aktivierter Hirnregionen in fMRT-Daten
In: Paulus E., Wahl F.M. (eds.), Mustererkennung 1997, 19. DAGM-Symposium, Informatik aktuell, Springer, Berlin, 323-330, 1997

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