Publikationen von G Lohmann

Lohmann, G.: Im Spannungsfeld zwischen Mensch und Maschine: Künstliche Intelligenz und Magnetresonanztomographie in der Hirnforschung. EinBlick – Forschung verständlich: Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2026)

Lohmann, G.: Im Spannungsfeld zwischen Mensch und Maschine: Künstliche Intelligenz und Magnetresonanztomographie. EinBlick – Forschung verständlich, Tübingen, Germany (2026)

Lohmann, G.: Between humans and machines: Artificial intelligence and magnetic resonance imaging. EinBlick: Forschung verständlich ; Max Planck Campus, Tübingen, Germany (2026)

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.; Grassi, P.; Lohmann, G.; Scheffler, K.: Zero-transfer percept decoding from a contrastively pretrained fMRI transformer. 54th Annual Meeting of the Society for Neuroscience (Neuroscience 2025), San Diego, CA, USA (2025)

Lohmann, G.: Cylarim: A New Tool for Laminar-Specific fMRI Analysis. ISMRM Joint Workshop of the Ultra-High Field MR & Brain Function Study Groups: ISMRM & ISMRT Annual Meeting & Exhibition 2025, Honolulu, HI, USA (2025)

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)