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Saskia Bollmann

Showing results (1-10 of 35) with videos related to

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Progress in Neurobiology|November 1, 2020
New acquisition techniques and their prospects for the achievable resolution of fMRISaskia Bollmann, Markus Barth
Neuroimage|October 26, 2017
Serial correlations in single-subject fMRI with sub-second TRSaskia Bollmann, Alexander M Puckett, Ross Cunnington, et al.
Human Brain Mapping|October 3, 2022
Modelling the depth-dependent VASO and BOLD responses in human primary visual cortexAtena Akbari, Saskia Bollmann, Tonima S Ali, et al.
Neuroimage|August 13, 2017
Measuring the effects of attention to individual fingertips in somatosensory cortex using ultra-high field (7T) fMRIAlexander M Puckett, Saskia Bollmann, Markus Barth, et al.
Neuroimage|February 9, 2019
On the analysis of rapidly sampled fMRI dataJingyuan E Chen, Jonathan R Polimeni, Saskia Bollmann, et al.
Neuroimage|December 22, 2019
Bayesian population receptive field modeling in human somatosensory cortexAlexander M Puckett, Saskia Bollmann, Keerat Junday, et al.
Magma (New York, N.Y.)|May 16, 2023
Correction to: Scaling the mountains: what lies above 7 Tesla magnetic resonance?Rita Schmidt, Elena Kleban, Saskia Bollmann, et al.
Magma (New York, N.Y.)|April 18, 2023
Scaling the mountains: what lies above 7 Tesla magnetic resonance?Rita Schmidt, Elena Kleban, Saskia Bollmann, et al.
Biorxiv : the Preprint Server for Biology|April 1, 2025
T1-weighted fMRI in mouse visual cortex using an Iron Oxide Nanoparticle contrast agent and Ultrashort Echo Time (UTE) imaging at 9.4 TNaman Jain, Saskia Bollmann, Kai-Hsiang Chuang, et al.
Magnetic Resonance in Medicine|September 30, 2025
T<sub>1</sub>-weighted fMRI in mouse visual cortex using an iron oxide nanoparticle contrast agent and UTE imaging at 9.4 TNaman Jain, Saskia Bollmann, Kai-Hsiang Chuang, et al.
Pageof 4

Showing results (1-10 of 35) with videos related to

Sort By:
Pageof 4
Progress in Neurobiology|November 1, 2020
New acquisition techniques and their prospects for the achievable resolution of fMRISaskia Bollmann, Markus Barth
Neuroimage|October 26, 2017
Serial correlations in single-subject fMRI with sub-second TRSaskia Bollmann, Alexander M Puckett, Ross Cunnington, et al.
Human Brain Mapping|October 3, 2022
Modelling the depth-dependent VASO and BOLD responses in human primary visual cortexAtena Akbari, Saskia Bollmann, Tonima S Ali, et al.
Neuroimage|August 13, 2017
Measuring the effects of attention to individual fingertips in somatosensory cortex using ultra-high field (7T) fMRIAlexander M Puckett, Saskia Bollmann, Markus Barth, et al.
Neuroimage|February 9, 2019
On the analysis of rapidly sampled fMRI dataJingyuan E Chen, Jonathan R Polimeni, Saskia Bollmann, et al.
Neuroimage|December 22, 2019
Bayesian population receptive field modeling in human somatosensory cortexAlexander M Puckett, Saskia Bollmann, Keerat Junday, et al.
Magma (New York, N.Y.)|May 16, 2023
Correction to: Scaling the mountains: what lies above 7 Tesla magnetic resonance?Rita Schmidt, Elena Kleban, Saskia Bollmann, et al.
Magma (New York, N.Y.)|April 18, 2023
Scaling the mountains: what lies above 7 Tesla magnetic resonance?Rita Schmidt, Elena Kleban, Saskia Bollmann, et al.
Biorxiv : the Preprint Server for Biology|April 1, 2025
T1-weighted fMRI in mouse visual cortex using an Iron Oxide Nanoparticle contrast agent and Ultrashort Echo Time (UTE) imaging at 9.4 TNaman Jain, Saskia Bollmann, Kai-Hsiang Chuang, et al.
Magnetic Resonance in Medicine|September 30, 2025
T<sub>1</sub>-weighted fMRI in mouse visual cortex using an iron oxide nanoparticle contrast agent and UTE imaging at 9.4 TNaman Jain, Saskia Bollmann, Kai-Hsiang Chuang, et al.
Pageof 4