Johannes Stelzer

发表

Andreas Bartels, Klaus Scheffler, Gabriele Lohmann, 2015, PloS one.

Klaus Scheffler, Gabriele Lohmann, Johannes Stelzer, 2018 .

Identifying neural contributions to high frequency dynamics in the fMRI signal at 9.4 Tesla

Bruce R. Rosen, Klaus Scheffler, Laura D. Lewis, 2017 .

Prioritizing spatial accuracy in high-resolution fMRI data using multivariate feature weight mapping

Daniel S. Margulies, Gabriele Lohmann, Robert Turner, 2014, Front. Neurosci..

Impact of prospective motion correction, distortion correction methods and large vein bias on the spatial accuracy of cortical laminar fMRI at 9.4 Tesla

Klaus Scheffler, Myung-Ho In, Rolf Pohmann, 2019, NeuroImage.

LISA improves statistical analysis for fMRI

Klaus Scheffler, Wolfgang Grodd, Gabriele Lohmann, 2018, Nature Communications.

Task-induced edge density as a marker for dynamic network formation in fMRI

Daniel S. Margulies, Klaus Scheffler, Gabriele Lohmann, 2015 .

Statistical inference and multiple testing correction in classification-based multi-voxel pattern analysis (MVPA): Random permutations and cluster size control

Yi Chen, Robert Turner, Johannes Stelzer, 2011, NeuroImage.

A generic approach for realistic head modelling for electrical field mapping and source localization

Axel Thielscher, Johannes Stelzer, C Bauer, 2015 .

Resolving large-scale networks in ultra-high field fMRI (9.4T) of the human brain

Klaus Scheffler, Gabriele Lohmann, Jonas Bause, 2016 .

Task-induced edge density analysis applied to the HCP social recognition experiment

Gabriele Lohmann, Klaus Scheffler, Johannes Stelzer, 2016 .

Neural decoding of visual stimuli varies with fluctuations in global network efficiency

Leonardo L. Gollo, Andrew Zalesky, Zhengyi Yang, 2017, bioRxiv.

Improving statistical sensitivity for fMRI data by clusterFDR

Klaus Scheffler, Michael Erb, Karsten Mueller, 2014 .

Eigenvector centrality mapping for ultrahigh resolution fMRI data of the human brain

Klaus Scheffler, Gabriele Lohmann, Johannes Stelzer, 2018 .

Inflated false negative rates undermine reproducibility in task-based fMRI

Klaus Scheffler, Wolfgang Grodd, Karsten Mueller, 2017, bioRxiv.

Group-wise analysis on myelination profiles of cerebral cortex using the second eigenvector of Laplace-Beltrami operator

Thomas R. Knösche, Pierre-Louis Bazin, Johannes Stelzer, 2014, 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI).

Multimodal assessment of recovery from coma in a rat model of diffuse brainstem tegmentum injury

Johannes Stelzer, Xin Yu, Yuanyuan Jiang, 2019, NeuroImage.

Curvature-based Methods for Brain Network Analysis pdf

Emil Saucan, Gabriele Lohmann, Jürgen Jost, 2017, ArXiv.

LISA: a new threshold-free and non-parametric statistical inference method for fMRI data

Klaus Scheffler, Wolfgang Grodd, Gabriele Lohmann, 2017 .

Correlation bundle statistics in fMRI data

Klaus Scheffler, Michael Erb, Gabriele Lohmann, 2014, 2014 International Workshop on Pattern Recognition in Neuroimaging.

SimNIBS: A versatile toolbox for simulating fields generated by transcranial brain stimulation

Axel Thielscher, Guilherme B. Saturnino, Johannes Stelzer, 2015 .

"More Is Different" in Functional Magnetic Resonance Imaging: A Review of Recent Data Analysis Techniques

Gabriele Lohmann, Robert Turner, Nihat Ay, 2013, Brain Connect..

Searchlight Goes GPU - Fast Multi-Voxel Pattern Analysis of fMRI Data

Anders Eklund, Johannes Stelzer, M Björnsdotter, 2013 .

LISA as a general tool for statistical inference in fMRI

Gabriele Lohmann, Klaus Scheffler, Johannes Stelzer, 2019 .

Brainglance: Visualizing Group Level MRI Data at One Glance

Klaus Scheffler, Gabriele Lohmann, Jonas Bause, 2019, Front. Neurosci..

Imperceptible Somatosensory Stimulation Alters Sensorimotor Background Rhythm and Connectivity

Arno Villringer, Jens Steinbrink, Norman Forschack, 2015, The Journal of Neuroscience.