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Florian Steinke

Fax: 07071-601-552

 

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Florian Steinke

Position: Doktorand  Abteilung: 

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Artikel (6):

Hofmann M, Bezrukov I, Mantlik F, Aschoff P, Steinke F, Beyer T, Pichler BJ und Schölkopf B (September-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.
Steinke F, Hein M und Schölkopf B (September-2010) Nonparametric Regression between General Riemannian Manifolds SIAM Journal on Imaging Sciences 3(3) 527-563.
Steinke F und Schölkopf B (November-2008) Kernels, Regularization and Differential Equations Pattern Recognition 41(11) 3271-3286.
Hofmann M, Steinke F, Scheel V, Charpiat G, Farquhar J, Aschoff P, Brady M, Schölkopf B und Pichler BJ (Oktober-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.
Steinke F, Hein M, Peters J und Schölkopf B (April-2008) Manifold-valued Thin-plate Splines with Applications in Computer Graphics Computer Graphics Forum 27(2) 437-448.
Steinke F, Seeger M und Tsuda K (November-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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Beiträge zu Tagungsbänden (8):

Lee D, Hofmann M, Steinke F, Altun Y, Cahill ND und Schölkopf B (Juni-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 und Hein M (Juni-2009) Non-parametric Regression between Riemannian Manifolds In: Advances in neural information processing systems 21, , 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 und Blanz V (September-2007) Learning Dense 3D Correspondence In: Advances in Neural Information Processing Systems 19, , Twentieth Annual Conference on Neural Information Processing Systems (NIPS 2006), MIT Press, Cambridge, MA, USA, 1313-1320.
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Seeger M, Steinke F und Tsuda K (März-2007) Bayesian Inference and Optimal Design in the Sparse Linear Model, 11th International Conference on Artificial Intelligence and Statistics (AISTATS 2007), International Machine Learning Society, Madison, WI, USA, 444-451, Series: JMLR Workshop and Conference Proceedings ; 2.
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Steinke F und Schölkopf B (März-2006) Machine learning methods for estimating operator equations, 14th IFAC Symposium on System Identification (SYSID 2006), Pergamon Press, Oxford, UK, IFAC Proceedings Volumes, 39(1), 1192-1197.
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Steinke F, Schölkopf B und Blanz V (September-2005) Support Vector Machines for 3D Shape Processing, 26th Annual Conference of the European Association for Computer Graphics (EUROGRAPHICS 2005), Computer Graphics Forum, 24(3), 285-294.
Cooke T, Steinke F, Wallraven C und Bülthoff HH (August-2005) A similarity-based approach to perceptual feature validation, 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 und Blanz V (August-2005) Object correspondence as a machine learning problem, 22nd International Conference on Machine Learning (ICML 2005), ACM Press, New York, NY, USA, 776-783.

Technische Berichte (1):

Hein M, Steinke F und Schölkopf B: Energy Functionals for Manifold-valued Mappings and Their Properties, 167, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, (Januar-2008).
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Poster (1):

Hofmann M, Steinke F, Scheel V, Charpiat G, Brady M, Schölkopf B und Pichler BJ (November-2-2007): MR-Based PET Attenuation Correction: Method and Validation, IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS-MIC 2007), Honolulu, HI, USA.
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Abschlussarbeiten (1):

Steinke F: Implicit Surfaces For Modelling Human Heads, Eberhard-Karls-Universität, Tübingen, (September-29-2005). Diplom thesis

Vorträge (6):

Hofmann M, Steinke F, Bezrukov I, Kolb A, Aschoff P, Lichy M, Erb M, Nägele T, Brady M, Schölkopf B und Pichler BJ (April-21-2009) Abstract Talk: MR-Based Attenuation Correction for PET/MR, 17th Annual Meeting of the International Society for Magnetic Resonance in Medicine (ISMRM 2009), Honolulu, HI, USA(260).
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Hofmann M, Steinke F, Aschoff P, Lichy M, Brady M, Schölkopf B und Pichler BJ (Oktober-25-2008) Abstract Talk: MR-Based PET Attenuation Correction: Initial Results for Whole Body, Nuclear Science Symposium and Medical Imaging Conference (NSS-MIC 2008), Dresden, Germany.
Steinke F, Hein M und Schölkopf B (Juni-2008) Invited Lecture: Thin-Plate Splines Between Riemannian Manifolds, Workshop on Geometry and Statistics of Shapes 2008, Bonn, Germany.
Hofmann M, Steinke F, Scheel V, Brady M, Schölkopf B und Pichler BJ (September-2007) Abstract Talk: MR-Based PET Attenuation Correction: Method and Validation, AMI/SMI Joint Molecular Imaging Conference 2007, Providence, RI, USA(0013).
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Hofmann M, Steinke F, Judenhofer MS, Claussen CD, Schölkopf B und Pichler BJ (November-2-2006) Abstract Talk: A Machine Learning Approach for Determining the PET Attenuation Map from Magnetic Resonance Images, IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS-MIC 2006), San Diego, CA, USA.
Steinke F, Seeger M und Tsuda K (Juli-26-2006) Invited Lecture: Experimental Design for Efficient Identification of Gene Regulatory Networks using Sparse Bayesian Models, International Workshop on Probabilistic Modelling in Computational Biology (PMCB 2007), Wien, Austria.

Patent (1):

Pichler B, Hofmann M, Schölkopf B und Steinke F: Method for determining a property map for an object in particular for a living being based on at least one first image in particular a nuclear magnetic resonance image, WO 2008006451 A1, (Juli-12-2006).

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Last updated: Montag, 22.05.2017