Search results

Journal Article (6)

Journal Article
Hofmann, M.; Bezrukov, I.; Mantlik, F.; Aschoff, B.; Steinke, F.; Beyer, T.; Pichler, B.; Schölkopf, B.: MRI-Based Attenuation Correction for Whole-Body PET/MRI: Quantitative Evaluation of Segmentation- and Atlas-Based Methods. Journal of Nuclear Medicine 52 (9), pp. 1392 - 1399 (2011)
Journal Article
Steinke, F.; Hein, M.; Schölkopf, B.: Nonparametric Regression between General Riemannian Manifolds. SIAM Journal on Imaging Sciences 3 (3), pp. 527 - 563 (2010)
Journal Article
Steinke, F.; Schölkopf, B.: Kernels, Regularization and Differential Equations. Pattern Recognition 41 (11), pp. 3271 - 3286 (2008)
Journal Article
Hofmann, M.; Steinke, F.; Scheel, V.; Charpiat, G.; Farquhar, J.; Aschoff, P.; Brady, M.; Schölkopf, B.; Pichler, B.: MRI-Based Attenuation Correction for PET/MRI: A Novel Approach Combining Pattern Recognition and Atlas Registration. Journal of Nuclear Medicine 49 (11), pp. 1875 - 1883 (2008)
Journal Article
Steinke, F.; Hein, M.; Peters, J.; Schölkopf, B.: Manifold-valued Thin-plate Splines with Applications in Computer Graphics. Computer Graphics Forum 27 (2), pp. 437 - 448 (2008)
Journal Article
Steinke, F.; Seeger, M.; Tsuda, K.: Experimental design for efficient identification of gene regulatory networks using sparse Bayesian models. BMC Systems Biology 1, 51, pp. 1 - 15 (2007)

Conference Paper (8)

Conference Paper
Lee, D.; Hofmann, M.; Steinke, F.; Altun, Y.; Cahill, N.; Schölkopf, B.: Learning the Similarity Measure for Multi-Modal 3D Image Registration. In: 2009 IEEE Conference on Computer Vision and Pattern Recognition, pp. 186 - 193. IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), Miami, FL, USA, June 20, 2009 - June 25, 2009. IEEE Service Center, Piscataway, NJ, USA (2009)
Conference Paper
Steinke, F.; Hein, M.: Non-parametric Regression between Riemannian Manifolds. In: Advances in neural information processing systems 21, pp. 1561 - 1568 (Eds. Koller, D.; Schuurmans, D.; Bengio, Y.; Bottou, L.). Twenty-Second Annual Conference on Neural Information Processing Systems (NIPS 2008), Vancouver, BC, Canada, December 08, 2008 - December 10, 2008. Curran, Red Hook, NY, USA (2009)
Conference Paper
Steinke, F.; Schölkopf, B.; Blanz, V.: Learning Dense 3D Correspondence. In: Advances in Neural Information Processing Systems 19, pp. 1313 - 1320 (Eds. Schölkopf, B.; Platt, J.; Hoffman, T.). Twentieth Annual Conference on Neural Information Processing Systems (NIPS 2006), Vancouver, BC, Canada, December 04, 2006 - December 07, 2006. MIT Press, Cambridge, MA, USA (2007)
Conference Paper
Seeger, M.; Steinke, F.; Tsuda, K.: Bayesian Inference and Optimal Design in the Sparse Linear Model. In: Artificial Intelligence and Statistics, 21-24 March 2007, San Juan, Puerto Rico, pp. 444 - 451 (Eds. Meila, M.; Shen, X.). 11th International Conference on Artificial Intelligence and Statistics (AISTATS 2007), San Juan, Puerto Rico, March 21, 2007 - March 24, 2007. International Machine Learning Society, Madison, WI, USA (2007)
Conference Paper
Steinke, F.; Schölkopf, B.: Machine Learning Methods For Estimating Operator Equations. In: IFAC Proceedings Volumes, Vol. 39, pp. 1192 - 1197. 14th IFAC Symposium on System Identification (SYSID 2006), Newcastle, Australia, March 29, 2006 - March 31, 2006. Elsevier, Oxford, United Kingdom (2006)
Conference Paper
Steinke, F.; Schölkopf, B.; Blanz, V.: Support Vector Machines for 3D Shape Processing. 26th Annual Conference of the European Association for Computer Graphics (EUROGRAPHICS 2005), Dublin, Ireland, August 29, 2005 - September 02, 2005. Computer Graphics Forum 24 (3), pp. 285 - 294 (2005)
Conference Paper
Cooke, T.; Steinke, F.; Wallraven, C.; Bülthoff, H.: A similarity-based approach to perceptual feature validation. In: APGV '05: 2nd Symposium on Applied Perception in Graphics and Visualization, pp. 59 - 66 (Eds. Bülthoff, H.; Troscianko, T.). 2nd Symposium on Applied Perception in Graphics and Visualization (APGV 2005), A Coroña, Spain, August 26, 2005 - August 28, 2005. ACM Press, New York, NY, USA (2005)
Conference Paper
Schölkopf, B.; Steinke, F.; Blanz, V.: Object correspondence as a machine learning problem. In: ICML '05: 22nd International Conference on Machine Learning, pp. 776 - 783 (Eds. Dzeroski, S.; De Raedt, L.; Wrobel, S.). 22nd International Conference on Machine Learning (ICML 2005), Bonn, Germany, August 07, 2005 - August 11, 2005. ACM Press, New York, NY, USA (2005)

Meeting Abstract (4)

Meeting Abstract
Hofmann, M.; Steinke, F.; Bezrukov, I.; Kolb, A.; Aschoff, P.; Lichy , M.; Erb, M.; Nägele, T.; Brady, M.; Schölkopf, B. et al.; Pichler, B.: MR-Based Attenuation Correction for PET/MR. In 17th Annual Meeting of the International Society for Magnetic Resonance in Medicine (ISMRM 2009), 260. 17th Annual Meeting of the International Society for Magnetic Resonance in Medicine (ISMRM 2009), Honolulu, HI, USA, April 18, 2009 - April 24, 2009. (2009)
Meeting Abstract
Hofmann, M.; Steinke, F.; Aschoff, P.; Lichy, M.; Brady, M.; Schölkopf, B.; Pichler, B.: MR-Based PET Attenuation Correction: Initial Results for Whole Body. In Nuclear Science Symposium and Medical Imaging Conference (NSS-MIC 2008), M14-4. Nuclear Science Symposium and Medical Imaging Conference (NSS-MIC 2008), Dresden, Germany, October 19, 2008 - October 25, 2008. (2008)
Meeting Abstract
Hofmann, M.; Steinke, F.; Scheel, V.; Charpiat, G.; Brady, M.; Schölkopf, B.; Pichler, B.: MR-Based PET Attenuation Correction: Method and Validation. In AMI/SMI Joint Molecular Imaging Conference 2007. AMI/SMI Joint Molecular Imaging Conference (MIC 2007), Providence, RI, USA, September 08, 2007 - September 11, 2007. (2007)
Meeting Abstract
Hofmann, M.; Steinke, F.; Judenhofer, M.; Claussen, C.; Schölkopf, B.; Pichler, B.: A Machine Learning Approach for Determining the PET Attenuation Map from Magnetic Resonance Images. In IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS-MIC 2006), M08-3. IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS-MIC 2006), San Diego, CA, USA, October 29, 2006 - November 04, 2006. (2006)

Talk (2)

Talk
Steinke, F.; Hein, M.; Schölkopf, B.: Thin-Plate Splines Between Riemannian Manifolds. HIM Workshop: Geometry and Statistics of Shapes 2008, Bonn, Germany (2008)
Talk
Steinke, F.; Seeger, M.; Tsuda, K.: 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 (2006)
Go to Editor View