Publications of Frithjof J. Kruggel

Hartmann, U., & Kruggel, F. J. (1997). Ein virtueller Dummy zur Simulation des Schädel-Hirn-Traumas. Spektrum der Wissenschaft, 9, 96–98.

Kruggel, F., & Herrmann, C. S. (2002). Recording of evoked potentials during functional MRI. In G. Zybatow & A. Wichert (Eds.), Exploratory analysis and data modeling in functional neuroscience (pp. 209–227). Boston/USA: MIT Press.

Wollny, G., Kruggel, F., Hierl, T., & Hendriks, J. (2004). Assessment, validation, and visualisation of bony changes in crano-facial surgery. In Proceedings of the Fourth Iasted International Conference on Visualization, Imaging, and Image Processing (pp. 459–464). Marbella, SPAIN.

Kovalev, V. A., Kruggel, F., & von Cramon, D. Y. (2002). Structural brain asymmetry as revealed by 3D texture analysis of anatomical MR images. In 16TH International Conference on Pattern Recognition, Vol 1, Proceedings (pp. 808–811). Los Alamitos/USA: IEEE Computer Society.

Kruggel, F., Chalopin, C., Descombes, X., & Kovalev, V. A. (2002). Segmentation of pathological features in MRI brain datasets. In Iconip'02: Proceedings of the 9th International Conference on Neural Information Processing - Computational Intelligence for the e-Age (pp. 2673–2677). SINGAPORE, SINGAPORE.

Kruggel, F., & Kovalev, V. A. (2002). Classifying brain shapes. In Iconip'02: Proceedings of the 9th International Conference on Neural Information Processing - Computational Intelligence for the e-Age (pp. 2678–2682). SINGAPORE, SINGAPORE.

Wollny, G., Tittgemeyer, M., & Kruggel, F. (2002). Segmentation of vector fields by critical point analysis: Application to brain deformation. In 16TH International Conference on Pattern Recognition (pp. 524–527). Los Alamitos/USA: IEEE Computer Society.

Kruggel, F. J., Brückner, M. K., Arendt, T., Wiggins, C. J., & von Cramon, D. Y. (2001). Analyzing the neocortical fine-structure. In M. F. Insana & R. M. Leahy (Eds.), Information Processing in Medical Science: 17th International Conference, IPMI 2001 Davis, CA, USA, June 18–22, 2001 Proceedings (Vol. 2082, pp. 239–245). Berlin: Springer.

Benali, H., Pelegrini-Issac, M., & Kruggel, F. J. (2001). Spatio-temporal covariance model for medical images sequences: Application to functional MRI data. In M. F. Insana (Ed.), Information Processing in Medical Imaging (pp. 197–203). Berlin: Springer.

Hartmann , U., Kruggel, F. J., Hierl, T., Lonsdale, G., & Klöppel, R. (2001). Skull mechanics simulations with the prototype SimBio environment. In K.-J. Bathe (Ed.), Computational fluid and solid mechanics (pp. 243–246). Amsterdam: Elsevier.

Kruggel, F. J., & Herrmann, C. S. (2001). Recording of the evoked potentials during functional MRI: Applications in cognitive neuroscience. In 8th International Conference on Neural Information Processing (pp. 413–418). SHANGHAI, CHINA.

Kruggel, F., & von Cramon, D. Y. (2001). Nonlinear regression analysis of the hemodynamic response in functional MRI. In Pattern Recognition Letters (Vol. 22, pp. 1247–1252). UPPSALA, SWEDEN.

Wollny, G., & Kruggel, F. J. (2001). Analyse von pathologischen Veränderungen in MRT-Zeitreihenaufnahmen. In H. Handels, A. Horsch, T. Lehmann, & H.-P. Meinzer (Eds.), Bildverarbeitung für die Medizin 2001 (pp. 275–279). Berlin: Springer.

Kruggel, F. J., & Rajapakse, J. C. (2000). Image acquisition and processing techniques in neuroscience. In ICONIP-2000: Proceedings (Vol. 1, pp. 77–81). Taejon, Korea.

Kruggel, F. J., & von Cramon, D. Y. (2000). Measuring the cortical thickness. In IEEE Workshop on Mathematical Methods in Biomedical Image Analysis, Proceedings (pp. 154–161). HILTON HEAD ISL, SC.

Svensen, M., Kruggel, F. J., & Benali, H. (2000). ICA of fMRI group study data. In ICONIP-2000_ Proceedings (Vol. 1, pp. 88–93). Taejon, Korea.

Wolters, C. H., Reitzinger, S., Basermann, A., Burkhardt, S., Hartmann, U., Kruggel, F., & Anwander, A. (2000). Improved tissue modeling and fast solver methods for high resolution FE-modeling in EEG/MEG-source localization. In J. Nenonen, R. J. Ilmoniemi, & T. Katila (Eds.), Proceedings of the 12th International Conference on Biomagnetism, Biomag (pp. 655–658). Espoo: Helsinki University of Technology.

Svensen, M., Kruggel, F. J., & von Cramon, D. Y. (1999). Markov random field modelling of fMRI data using a mean field EM-algorithm. In E. R. Hancock & M. Pelillo (Eds.), Energy Minimization Methods in Computer Vision and Pattern Recognition (Vol. 1654, pp. 317–330). Berlin: Springer.

Hojjatoleslami, S. A., Kruggel, F., & von Cramon, D. Y. (1999). Segmentation of white matter lesions from volumetric MR images. In Medical Image Computing and Computer-Assisted Intervention, MICCAI'99, Proceedings (pp. 52–61). Berlin: Springer-Verlag.

Kruggel, F., & von Cramon, D. Y. (1999). Physiologically oriented models of the hemodynamic response in functional MRI. In Information Processing in Medical Imaging, Proceedings (pp. 294–307). Berlin: Springer-Verlag.