Publications of Gabriele Lohmann

Lohmann, G., von Cramon, D. Y., & Colchester, A. C. F. (2006). Investigating cortical variability using a generic gyral model. In Medical Image Computing and Computer-Assisted Intervention: MICCAI 2006, PT2 (pp. 109–116). Berlin: Springer.

Lohmann, G., von Cramon, D. Y., & Colchester, A. C. F. (2005). A construction of an averaged representation of human cortical gyri using non-linear principal component analysis. In Medical Image Computing and Computer-Assisted Intervention: MICCAI 2005, PT2 (pp. 749–756). Berlin/Heidelberg/New York: Springer.

Lohmann, G., Preul, C., & Hund-Georgiadis, M. (2003). Morphology-based cortical thickness estimation. In Information Processing in Medical Imaging, Proceedings (pp. 89–100). Berlin [et al.]: Springer.

Windreich, G., Kiryati, N., & Lohmann, G. (2003). Surface area estimation in practice. In Discrete Geometry for Computer Imagery, Proceedings (pp. 358–367). NAPLES, ITALY.

Lohmann, G., & Bohn, S. (2002). Using replicator dynamics for analyzing fMRI data of the human brain. In IEEE Transactions on Medical Imaging (Vol. 21, pp. 485–492). DAVIS, CALIFORNIA.

Lohmann, G., & von Cramon, D. Y. (2001). Detecting functionally coherent networks in fMRI data of the human brain using replicator dynamics. In M. F. Insana & R. M. Leahy (Eds.), Information Processing in Medical Imaging (Vol. 2082, pp. 218–224). Berlin: Springer.

Lohmann, G., & von Cramon, D. Y. (2000). Automatic labelling of the human cortical surface using sulcal basins. In Medical Image Analysis (Vol. 4, pp. 179–188). SANTA BARBARA, CALIFORNIA.

Lohmann, G., & von Cramon, D. Y. (1999). Using sulcal basins for analyzing functional activations patterns in the human brain. In Medical Image Computing and Computer-Assisted Intervention, Miccai'99, Proceedings (pp. 489–497). BERLIN: SPRINGER-VERLAG.

Kruggel, F. J., & Lohmann, G. (1998). BRIAN (Brain Image Analysis): Ein Programmsystem zur Analyse multimodaler Datensätze des Gehirns. In T. Plesser & P. Wittenberg (Eds.), Forschung und wissenschaftliches Rechnen: Beiträge zum Heinz-Billing-Preis 1997 (pp. 99–110). Göttingen: Gesellschaft für wissenschaftliche Datenverarbeitung.

Lohmann, G., & von Cramon, D. Y. (1998). Sulcal basins and sulcal strings as new concepts for describing the human cortical topography. In Workshop on Biomedical Image Analysis, Proceedings (pp. 24–33). SANTA BARBARA, CA.

Lohmann, G., & von Cramon, D. Y. (1998). Automatic detection and labelling of the human cortical folds in magnetic resonance data sets. In Computer Vision - ECCV’98 (Vol. 2, pp. 369–381). Berlin: Springer.

Kruggel, F., & Lohmann, G. (1997). Automatical adaption of the stereotactical coordinate system in brain MRI datasets. In Information Processing in Medical Imaging (pp. 471–476). Berlin: Springer-Verlag.

Lohmann, G., Kruggel, F., & von Cramon, D. Y. (1997). Automatic detection of sulcal bottom lines in MR images of the human brain. In Information Processing in Medical Imaging (pp. 369–374). Berlin: Springer.

Kruggel, F. J., & Lohmann, G. (1996). Brain (Brain image analysis) - A toolkit for the analysis of multimodal brain datasets. In CAR '96: Computer Assisted Radiology (pp. 323–328). Amsterdam: Elsevier.

Lohmann, G., & Kruggel, F. J. (1996). Extracting lines of maximal depth from MR images of the human brain. In Proceedings of the 13th international conference on pattern recognition (Vol. 3, pp. 518–522). Los Alamitos: IEEE Computer Society Press.

Lohmann, G. (1995). A new method of extracting closed contours using maximal discs. In Computer analysis of images and patterns (pp. 472–479). Berlin: Springer.

Heidemann, R. M., Anwander, A., Feiweier, T., Grinstead, J., Lohmann, G., Knösche, T. R., & Turner, R. (2011). K-space and q-space: Combining ultra-high spatial and angular resolution in diffusion imaging using ZOOPPA at 7T. In Proceedings of the 19th scientific meeting ISMRM, Montreal (pp. 1957–1957).

Heidemann, R. M., Anwander, A., Porter, D., Feiweier, T., Lohmann, G., Knösche, T. R., & Turner, R. (2011). K-Space and q-Space: Combining Ultra-High Spatial and Angular Resolution in Diffusion Imaging at 7T. In 17th Annual Meeting of the Organization for Human Brain Mapping. Quebec City, QC, Canada. Retrieved from http://hdl.handle.net/11858/00-001M-0000-0012-1724-B

Heidemann, R. M., Porter, D. A., Anwander, A., Feiweier, T., Calamante, F., Tournier, J.-D., … Turner, R. (2011). Whole-Brain, Multi-Shot, Diffusion-Weighted Imaging in Humans at 7T with 1 mm Isotropic Resolution. In Proceedings of International Society for Magnetic Resonance in Medicine 19th Annual Meeting. Montreal, QC, Canada. Retrieved from http://hdl.handle.net/11858/00-001M-0000-0012-1736-1

Lohmann, G., Heidemann, R. M., Anwander, A., & Turner, R. (2010). Reducing scan-time in ultra-high field diffusion-tensor imaging in humans at 7T. In Proceedings of the 16th annual meeting of the organization for human brain mapping. Retrieved from http://hdl.handle.net/11858/00-001M-0000-0012-2815-0