Suchergebnisse

Zeitschriftenartikel (6)

  1. 1.
    Zeitschriftenartikel
    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), S. 1392 - 1399 (2011)
  2. 2.
    Zeitschriftenartikel
    Steinke, F.; Hein, M.; Schölkopf, B.: Nonparametric Regression between General Riemannian Manifolds. SIAM Journal on Imaging Sciences 3 (3), S. 527 - 563 (2010)
  3. 3.
    Zeitschriftenartikel
    Steinke, F.; Schölkopf, B.: Kernels, Regularization and Differential Equations. Pattern Recognition 41 (11), S. 3271 - 3286 (2008)
  4. 4.
    Zeitschriftenartikel
    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), S. 1875 - 1883 (2008)
  5. 5.
    Zeitschriftenartikel
    Steinke, F.; Hein, M.; Peters, J.; Schölkopf, B.: Manifold-valued Thin-plate Splines with Applications in Computer Graphics. Computer Graphics Forum 27 (2), S. 437 - 448 (2008)
  6. 6.
    Zeitschriftenartikel
    Steinke, F.; Seeger, M.; Tsuda, K.: Experimental design for efficient identification of gene regulatory networks using sparse Bayesian models. BMC Systems Biology 1, 51, S. 1 - 15 (2007)

Konferenzbeitrag (8)

  1. 7.
    Konferenzbeitrag
    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, S. 186 - 193. IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), Miami, FL, USA, 20. Juni 2009 - 25. Juni 2009. IEEE Service Center, Piscataway, NJ, USA (2009)
  2. 8.
    Konferenzbeitrag
    Steinke, F.; Hein, M.: Non-parametric Regression between Riemannian Manifolds. In: Advances in neural information processing systems 21, S. 1561 - 1568 (Hg. Koller, D.; Schuurmans, D.; Bengio, Y.; Bottou, L.). Twenty-Second Annual Conference on Neural Information Processing Systems (NIPS 2008), Vancouver, BC, Canada, 08. Dezember 2008 - 10. Dezember 2008. Curran, Red Hook, NY, USA (2009)
  3. 9.
    Konferenzbeitrag
    Steinke, F.; Schölkopf, B.; Blanz, V.: Learning Dense 3D Correspondence. In: Advances in Neural Information Processing Systems 19, S. 1313 - 1320 (Hg. Schölkopf, B.; Platt, J.; Hoffman, T.). Twentieth Annual Conference on Neural Information Processing Systems (NIPS 2006), Vancouver, BC, Canada, 04. Dezember 2006 - 07. Dezember 2006. MIT Press, Cambridge, MA, USA (2007)
  4. 10.
    Konferenzbeitrag
    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, S. 444 - 451 (Hg. Meila, M.; Shen, X.). 11th International Conference on Artificial Intelligence and Statistics (AISTATS 2007), San Juan, Puerto Rico, 21. März 2007 - 24. März 2007. International Machine Learning Society, Madison, WI, USA (2007)
  5. 11.
    Konferenzbeitrag
    Steinke, F.; Schölkopf, B.: Machine Learning Methods For Estimating Operator Equations. In: IFAC Proceedings Volumes, Bd. 39, S. 1192 - 1197. 14th IFAC Symposium on System Identification (SYSID 2006), Newcastle, Australia, 29. März 2006 - 31. März 2006. Elsevier, Oxford, United Kingdom (2006)
  6. 12.
    Konferenzbeitrag
    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, 29. August 2005 - 02. September 2005. Computer Graphics Forum 24 (3), S. 285 - 294 (2005)
  7. 13.
    Konferenzbeitrag
    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, S. 59 - 66 (Hg. Bülthoff, H.; Troscianko, T.). 2nd Symposium on Applied Perception in Graphics and Visualization (APGV 2005), A Coroña, Spain, 26. August 2005 - 28. August 2005. ACM Press, New York, NY, USA (2005)
  8. 14.
    Konferenzbeitrag
    Schölkopf, B.; Steinke, F.; Blanz, V.: Object correspondence as a machine learning problem. In: ICML '05: 22nd International Conference on Machine Learning, S. 776 - 783 (Hg. Dzeroski, S.; De Raedt, L.; Wrobel, S.). 22nd International Conference on Machine Learning (ICML 2005), Bonn, Germany, 07. August 2005 - 11. August 2005. ACM Press, New York, NY, USA (2005)

Meeting Abstract (4)

  1. 15.
    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, 18. April 2009 - 24. April 2009. (2009)
  2. 16.
    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, 19. Oktober 2008 - 25. Oktober 2008. (2008)
  3. 17.
    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, 08. September 2007 - 11. September 2007. (2007)
  4. 18.
    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, 29. Oktober 2006 - 04. November 2006. (2006)

Vortrag (2)

  1. 19.
    Vortrag
    Steinke, F.; Hein, M.; Schölkopf, B.: Thin-Plate Splines Between Riemannian Manifolds. HIM Workshop: Geometry and Statistics of Shapes 2008, Bonn, Germany (2008)
  2. 20.
    Vortrag
    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)
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