Articles (7): |
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Hofmann M  , Bezrukov I , Mantlik F , Aschoff P , Steinke F , Beyer T , Pichler BJ and Schölkopf B (2011) MRI-Based Attenuation Correction for Whole-Body PET/MRI: Quantitative Evaluation of Segmentation- and Atlas-Based Methods
Journal of Nuclear Medicine 52(9) 1392-1399.
 
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Steinke F , Hein M and Schölkopf B (2010) Nonparametric Regression between General Riemannian Manifolds
SIAM Journal on Imaging Sciences 3(3) 527-563.
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Steinke F and Schölkopf B (2008) Kernels, Regularization and Differential Equations
Pattern Recognition 41(11) 3271-3286.
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Hofmann M , Steinke F , Scheel V , Charpiat G , Farquhar J , Aschoff P , Brady M , Schölkopf B and Pichler BJ (2008) MRI-Based Attenuation Correction for PET/MRI: A Novel Approach Combining Pattern Recognition and Atlas Registration
Journal of Nuclear Medicine 49(11) 1875-1883.
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Steinke F , Hein M , Peters J and Schölkopf B (2008) Manifold-valued Thin-plate Splines
with Applications in Computer Graphics
Computer Graphics Forum 27(2) 437-448.
 
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Steinke F , Seeger M and Tsuda K (2007) Experimental design for efficient identification of gene regulatory networks using sparse Bayesian models
BMC Systems Biology 1(51) 1-15.
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Steinke F , Schölkopf B and Blanz V (2005) Support Vector Machines for 3D Shape Processing
Computer Graphics Forum 24(3, EUROGRAPHICS 2005) 285-294.
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Conference papers (7): |
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Lee D , Hofmann M , Steinke F , Altun Y , Cahill ND and Schölkopf B (2009) Learning the Similarity Measure for Multi-Modal 3D Image Registration
IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), IEEE Service Center, Piscataway, NJ, USA, 186-193.
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Steinke F and Hein M (2009) Non-parametric Regression between Riemannian Manifolds
In: Advances in neural information processing systems 21, (Ed) Koller, D. , D. Schuurmans, Y. Bengio, L. Bottou, Twenty-Second Annual Conference on Neural Information Processing Systems (NIPS 2008), Curran, Red Hook, NY, USA, 1561-1568.
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Steinke F , Schölkopf B and Blanz V (2007) Learning Dense 3D Correspondence
In: Advances in Neural Information Processing Systems 19, (Ed) B Schölkopf, J Platt and T Hofmann, 20th Annual Conference on Neural Information Processing Systems (NIPS 2006), MIT Press, Cambridge, MA, USA, 1313-1320.
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Seeger M , Steinke F and Tsuda K (2007) Bayesian Inference and Optimal Design in the Sparse Linear Model
In: JMLR Workshop and Conference Proceedings Volume 2: AISTATS 2007, (Ed) Meila, M. , X. Shen, 11th International Conference on Artificial Intelligence and Statistics, JMLR, Cambridge, MA, USA, 444-451.
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Steinke F and Schölkopf B (2006) Machine Learning Methods For Estimating Operator Equations
In: Proceedings of the 14th IFAC Symposium on System Identification (SYSID 2006), (Ed) B Ninness and H Hjalmarsson, 14th IFAC Symposium on System Identification (SYSID 2006), Elsevier, Oxford, United Kingdom, 6 pages.
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Cooke T , Steinke F , Wallraven C and Bülthoff HH (2005) A similarity-based approach to perceptual feature validation
(Ed) Spencer, S.N., 2nd Symposium on Applied Perception in Graphics and Visualization (APGV 2005), ACM Press, New York, NY, USA, 59-66.
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Schölkopf B , Steinke F and Blanz V (2005) Object correspondence as a machine learning problem
In: Proceedings of the 22nd International Conference on Machine Learning, (Ed) L De Raedt and S Wrobel, ICML 2005, ACM, New York, NY, USA, 777-784.
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Technical reports (1): |
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Hein M , Steinke F and Schölkopf B : Energy Functionals for
Manifold-valued Mappings and
Their Properties, 167, Max Planck Institute for Biological Cybernetics, Tübingen, (2008).
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Posters (2): |
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Hofmann M , Steinke F , Bezrukov I , Kolb A , Aschoff P , Lichy M , Erb M , Nägele T , Brady M , Schölkopf B and Pichler BJ (2009): MR-Based Attenuation Correction for PET/MR, 17th Annual Meeting of the International Society for Magnetic Resonance in Medicine (ISMRM 2009), Honolulu, HI, USA.
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Hofmann M , Steinke F , Scheel V , Charpiat G , Brady M , Schölkopf B and Pichler BJ (2007): MR-Based PET Attenuation Correction: Method and Validation, 2007 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS-MIC 2007), 2007(M16-6) 1-2.
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Theses (2): |
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Steinke F : From Differential Equations to Differential Geometry: Aspects of Regularisation in Machine Learning, Universität des Saarlandes, Saarbrücken, Germany, (2009).
PhD thesis
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Steinke F : Implicit Surfaces For Modelling
Human Heads, Eberhard-Karls-Universität, Tübingen, (2005).
Diplom thesis
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Talks (4): |
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Hofmann M , Steinke F , Aschoff P , Lichy M , Brady M , Schölkopf B and Pichler BJ (2008): MR-Based PET Attenuation Correction: Initial Results for Whole Body, Medical Imaging Conference, Dresden, Germany.
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Steinke F , Hein M and Schölkopf B (2008): Thin-Plate Splines Between Riemannian Manifolds, Workshop on Geometry and Statistics of Shapes 2008, Bonn, Germany.
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Hofmann M , Steinke F , Scheel V , Brady M , Schölkopf B and Pichler BJ (2007): MR-Based PET Attenuation Correction: Method and Validation, Joint Molecular Imaging Conference 2007, Providence, RI, USA.
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Hofmann M , Steinke F , Judenhofer MS , Claussen CD , Schölkopf B and Pichler BJ (2006): A Machine Learning Approach for Determining the PET Attenuation Map from Magnetic Resonance Images, IEEE Medical Imaging Conference 2006, San Diego, CA, USA.
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Patent (1): |
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Hofmann M , Schölkopf B , Steinke F and Pichler BJ : MR/PET Attenuation Correction, (2006).
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me[at]floriansteinke.net
