Steffen Bollmann
Steffen Bollmann
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The PhysIO toolbox for modeling physiological noise in fMRI data
L Kasper, S Bollmann, AO Diaconescu, C Hutton, J Heinzle, S Iglesias, ...
Journal of neuroscience methods 276, 56-72, 2017
Age dependent electroencephalographic changes in attention-deficit/hyperactivity disorder (ADHD)
SS Poil, S Bollmann, C Ghisleni, RL O’Gorman, P Klaver, J Ball, ...
Clinical Neurophysiology 125 (8), 1626-1638, 2014
Developmental changes in gamma-aminobutyric acid levels in attention-deficit/hyperactivity disorder
S Bollmann, C Ghisleni, SS Poil, E Martin, J Ball, D Eich-Höchli, ...
Translational psychiatry 5 (6), e589-e589, 2015
Echo time‐dependent quantitative susceptibility mapping contains information on tissue properties
S Sood, J Urriola, D Reutens, K O’Brien, S Bollmann, M Barth, V Vegh
Magnetic resonance in medicine 77 (5), 1946-1958, 2017
Coupling between resting cerebral perfusion and EEG
RL O’Gorman, SS Poil, D Brandeis, P Klaver, S Bollmann, C Ghisleni, ...
Brain topography 26 (3), 442-457, 2013
DeepQSM-using deep learning to solve the dipole inversion for quantitative susceptibility mapping
S Bollmann, KGB Rasmussen, M Kristensen, RG Blendal, LR Østergaard, ...
NeuroImage 195, 373-383, 2019
Subcortical glutamate mediates the reduction of short-range functional connectivity with age in a developmental cohort
C Ghisleni, S Bollmann, SS Poil, D Brandeis, E Martin, L Michels, ...
Journal of Neuroscience 35 (22), 8433-8441, 2015
Assessment of microstructural signal compartments across the corpus callosum using multi-echo gradient recalled echo at 7 T
K Thapaliya, V Vegh, S Bollmann, M Barth
Neuroimage 182, 407-416, 2018
Age-dependent and-independent changes in attention-deficit/hyperactivity disorder (ADHD) during spatial working memory performance
S Bollmann, C Ghisleni, SS Poil, E Martin, J Ball, D Eich-Höchli, P Klaver, ...
The World Journal of Biological Psychiatry, 1-12, 2015
Overview of quantitative susceptibility mapping using deep learning: Current status, challenges and opportunities
W Jung, S Bollmann, J Lee
NMR in Biomedicine, e4292, 2020
Effects of steroid hormones on sex differences in cerebral perfusion
C Ghisleni, S Bollmann, A Biason-Lauber, SS Poil, D Brandeis, E Martin, ...
PLoS One 10 (9), e0135827, 2015
The challenge of bias‐free coil combination for quantitative susceptibility mapping at ultra‐high field
S Bollmann, SD Robinson, K O'Brien, V Vegh, A Janke, L Marstaller, ...
Magnetic resonance in medicine 79 (1), 97-107, 2018
Pulsed arterial spin labelling at ultra-high field with a B 1+-optimised adiabatic labelling pulse
F Zimmer, K O’Brien, S Bollmann, J Pfeuffer, K Heberlein, M Barth
Magnetic Resonance Materials in Physics, Biology and Medicine 29 (3), 463-473, 2016
DeepQSM-using deep learning to solve the dipole inversion for MRI susceptibility mapping
KGB Rasmussen, M Kristensen, RG Blendal, LR Østergaard, ...
BioRxiv, 278036, 2018
SHARQnet–Sophisticated harmonic artifact reduction in quantitative susceptibility mapping using a deep convolutional neural network
S Bollmann, MH Kristensen, MS Larsen, MV Olsen, MJ Pedersen, ...
Zeitschrift für Medizinische Physik 29 (2), 139-149, 2019
Accelerated mapping of magnetic susceptibility using 3D planes‐on‐a‐paddlewheel (POP) EPI at ultra‐high field strength
D Stäb, S Bollmann, C Langkammer, K Bredies, M Barth
NMR in Biomedicine 30 (4), e3620, 2017
7T GRE-MRI signal compartments are sensitive to dysplastic tissue in focal epilepsy
K Thapaliya, J Urriola, M Barth, DC Reutens, S Bollmann, V Vegh
Magnetic resonance imaging 61, 1-8, 2019
Real-time clustered multiple signal classification (RTC-MUSIC)
C Dinh, L Esch, J Rühle, S Bollmann, D Güllmar, D Baumgarten, ...
Brain topography 31 (1), 125-128, 2018
A 7T Human Brain Microstructure Atlas by Minimum Deformation Averaging at 300μm
AL Janke, K O'Brian, S Bollmann, T Kober, M Barth
ISMRM 2016, 2016
Non-linear realignment improves hippocampus subfield segmentation reliability
TB Shaw, S Bollmann, NT Atcheson, LT Strike, C Guo, KL McMahon, ...
NeuroImage 203, 116206, 2019
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