Publikationen von G Lohmann

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 S., Technische Universität, München, Germany (1991)

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 S.

Mahler, L.; Wang, Q.; Steiglechner, J.; Birk, F.; Heczko, S.; Scheffler, K.; Lohmann, G.: Pretraining is All You Need: A Multi-Atlas Enhanced Transformer Framework for Autism Spectrum Disorder Classification. (eingereicht)

Wang, Q.; Mahler, L.; Steiglechner, J.; Birk, F.; Scheffler, K.; Lohmann, G.: A Three-Player GAN for Super-Resolution in Magnetic Resonance Imaging. (eingereicht)

Lohmann, G.; Lacosse, E.; Ethofer, T.; Kumar, V.; Scheffler, K.; Jost, J.: Predicting intelligence from fMRI data of the human brain in a few minutes of scan time. (eingereicht)

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

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

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. (eingereicht)