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Physiologically informed dynamic causal modeling of fMRI data., , , , , and . NeuroImage, (2015)Pedestrian Safety in Frontal Tram Collision, Part 2: Laminated Glass as a Crucial Part of the Absorption and Deformation Zone - Its Impact Test and Analysis., , , , , , , , , and 3 other author(s). Sensors, 23 (21): 8974 (November 2023)Nonparametric Hemodynamic Deconvolution of fMRI Using Homomorphic Filtering., , and . IEEE Trans. Med. Imaging, 34 (5): 1155-1163 (2015)On the importance of modeling fMRI transients when estimating effective connectivity: A dynamic causal modeling study using ASL data., , , , , and . NeuroImage, (2017)Echo-time dependence of the BOLD response transients - A window into brain functional physiology., , , and . NeuroImage, (2017)Pedestrian Safety in Frontal Tram Collision, Part 1: Historical Overview and Experimental-Data-Based Biomechanical Study of Head Clashing in Frontal and Side Impacts., , , , , , , , , and 5 other author(s). Sensors, 23 (21): 8819 (October 2023)Deconvolution of neuronal signal from hemodynamic response., , , and . ICASSP, page 617-620. IEEE, (2011)Dynamic Granger causality based on Kalman filter for evaluation of functional network connectivity in fMRI data., , , and . NeuroImage, 53 (1): 65-77 (2010)Predicting neuronal response properties from hemodynamic responses in the auditory cortex., , , and . NeuroImage, (2021)Dynamic modeling of neuronal responses in fMRI using cubature Kalman filtering., , , , and . NeuroImage, 56 (4): 2109-2128 (2011)