Publikationen von G Lohmann

Lohmann, G.: What Can We Learn from Magnetic Resonance Imaging of the Human Brain? WIMSA Inaugural Conference 2022: Advancing Women in Mathematics Across the Americas, Miami, FL, USA (2022)

Lohmann, G.: Statistical inference for fMRI at 3T and beyond. Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2019)

Lohmann, G.: Method 3: Dynamic connectivity and task-rest interactions. ESMRMB Lectures on MR: Resting State fMRI, Tübingen, Germany (2019)

Lohmann, G.: Analysing networks in the human brain using fMRI data. XIII Workshop of the International School on Magnetic Resonance and Brain Function (ISMRBF 2018), Erice, Italy (2018)

Lohmann, G.: Task-Related Edge Density (TED): A New Method for Revealing Dynamic Network Formation in fMRI Data of the Human Brain. Symposium on Cortico-Cortical Connectivity: From Structure to Dynamic Networks and Control of Behavior, Tübingen, Germany (2018)

Scheffler, K.; Lohmann, G.: Functional brain imaging at 9.4T. Ernst Strüngmann Institute for Neuroscience, Frankfurt a.M., Germany (2016)

Lohmann, G.: Practical demonstration: Graphy theory. ESMRMB-Lectures on Magnetic Resonance, Advanced methods for acquisition and analysis of fMRI data, Tübingen, Germany (2013)

Lohmann, G.: Multimodal image registration. 6th International Summer School in Biomedical Engineering: Multimodal integration of brain measurements in research and clinical practice, Havana, Cuba (2013)

Lohmann, G.: Fundamentals of fMRI analysis. 6th International Summer School in Biomedical Engineering: Multimodal integration of brain measurements in research and clinical practice (BME School 2013), Havana, Cuba (2013)

Lohmann, G.: Analyzing resting state fMRI data using non-negative matrix factorization (NMF). 3rd Biennial Conference on Resting State Brain Connectivity, Magdeburg, Germany (2012)

Lohmann, G.: Clustering techniques applied to MRI and fMRI data of the human brain at 7 Tesla. ESMRMB Congress 2011, 28th Annual Scientific Meeting, Leipzig, Germany (2011)

Lohmann, G.: Bayesian Methods in fMRI data analysis. Tenth Annual Meeting of the Organization for Human Brain Mapping (HBM 2004), Budapest, Hungary (2004)

Lohmann, G.: Dynamics of Brain Function by fMRI. 1st Course: New NMR Strategies for Brain Investigation, Erice, Italy (2003)

Mahler, L.; Scheffler, K.; Lohmann, G.: Quantitative Assessment of ML-Based Feature Attribution Methods for ASD Biomarker Discovery in fMRI. 30th Annual Meeting of the Organization for Human Brain Mapping (OHBM 2024), Seoul, South Korea (2024)

Mahler, L.; Steiglechner, J.; Wang, Q.; Scheffler, K.; Lohmann, G.: JudgeMI: Towards Accurate Metrics for Assessing Deep Learning Based Structural MRI Motion Correction. 29th Annual Meeting of the Organization for Human Brain Mapping (OHBM 2023), Montreal, Canada (2023)

Lohmann, G.; Lacosse, E.; Ethofer, T.; Kumar, V.; Scheffler, K.; Jost, J.: Predicting Intelligence from FMRI Data of the Human Brain. FENS Forum 2022, Paris, France (2022)

Wang, Q.; Steiglechner, J.; Scheffler, K.; Lohmann, G.: Super Resolution Improves Cortical Segmentation Accuracy in Ultra-high Resolution MRI. 28th Annual Meeting of the Organization for Human Brain Mapping (OHBM 2022), Glasgow, UK (2022)

Doehler, J.; Northall, A.; Fracasso, A.; Lohmann, G.; Bazin, P.-L.; Haenelt, D.; Wolbers, T.; Kuehn, E.: Layer-specific myeloarchitecture of human S1 hand area in younger and older adults at 7T-MRI. 27th Annual Meeting of the Organization for Human Brain Mapping (OHBM 2021) (2021)

Jech, R.; Mueller, K.; Růžička, F.; Slovák, M.; Forejtová, Z.; Lohmann, G.; Serranová, T.: Disconnected SMA and midcingulate in Functional movement disorders: a resting state fMRI study. 26th Annual Meeting of the Organization for Human Brain Mapping (OHBM 2020), Montreal, Canada (2020)

Lohmann, G.; Stelzer, J.; Scheffler, K.: Bipartite connectivity mapping (BCM). 26th Annual Meeting of the Organization for Human Brain Mapping (OHBM 2020), Montreal, Canada (2020)