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Müller, K.; Neumann, J.; von Cramon, D.; Lohmann, G.: Detecting groups of coherent voxels in fMRI data using spectral analysis and replicator dynamics. 12th Annual Meeting of the Organization for Human Brain Mapping (HBM 2006), Firenze, Italy (2006)

Lohmann, G.; Neumann, J.: FMRI data analysis using Bayesian random effects models. 11th Annual Meeting of the Organization for Human Brain Mapping (HBM 2005), Toronto, Canada (2005)

Neumann, J.; Lohmann, G.; Forstmann, B.; von Cramon, D.: Using Replicator Dynamics and Canonical Correlation for Clustering FMRI Time Series. 11th Annual Meeting of the Organization for Human Brain Mapping, Toronto, Canada (2005)

Müller, K.; Lohmann, G.; Neumann, J.; Mildner, T.; von Cramon, D.: Investigating the Coupling between BOLD Signal Strength and Latency. 10th Annual Meeting of the Organization for Human Brain Mapping (HBM 2004), Budapest, Hungary (2004)

Busch, N.; Lohmann, G.; von Cramon, D.: LIMA: An object-oriented segmentation and visualization framework for medical data sets. Seventh Annual Meeting of the Organization for Human Brain Mapping (HBM 2001), Brighton, UK (2001)

Lohmann, G.; Müller, K.; Bosch, V.; Mentzel, H.; Busch, N.; von Cramon, D.: Lipsia: A software package for the analysis of fMRI data. Seventh Annual Meeting of the Organization for Human Brain Mapping (HBM 2001), Brighton, UK (2001)

Müller, K.; Bosch, V.; Lohmann, G.; von Cramon, D.: Comparison of approaches for multi-subject fMRI-analysis. Sixth Annual Meeting of the Organization for Human Brain Mapping (HBM 2000), San Antonio, TX, USA (2000)

Lohmann, G.: An evidential reasoning approach to the classification of satellite images. Dissertation, 103 pp., Technische Universität, München, Germany (1991)

Lohmann, G.; Loktyushin, A.; Stelzer, J.; Scheffler, K.: Eigenvector centrality mapping for ultrahigh resolution fMRI data of the human brain. (submitted)

Weber, M.; Stelzer, J.; Saucan, E.; Naitsat, A.; Lohmann, G.; Jost, J.: Curvature-based Methods for Brain Network Analysis. (submitted)

Lohmann, G.; Stelzer, J.; Mueller, K.; Lacosse, E.; Buschmann, T.; Kumar, V.; Grodd, W.; Scheffler, K.: Inflated False Negative Rates Undermine Reproducibility In Task-Based fMRI. (submitted)

Lohmann, G.; Müller, K.; Bosch, V.; Mentzel, H.; Hessler, S.; Chen, L.; von Cramon, D.: LIPSIA: Leipzig Image Processing and Statistical Inference Algorithms. Max-Planck-Institute of Mathematics in the Sciences, Leipzig, Germany (2001), 33 pp.