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
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
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
Overview of quantitative susceptibility mapping using deep learning: Current status, challenges and opportunities
W Jung, S Bollmann, J Lee
NMR in Biomedicine 35 (4), e4292, 2022
Coupling between resting cerebral perfusion and EEG
RL O’Gorman, SS Poil, D Brandeis, P Klaver, S Bollmann, C Ghisleni, ...
Brain topography 26, 442-457, 2013
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
Deep learning in magnetic resonance image reconstruction
SS Chandra, M Bran Lorenzana, X Liu, S Liu, S Bollmann, S Crozier
Journal of Medical Imaging and Radiation Oncology 65 (5), 564-577, 2021
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
Brainhack: Developing a culture of open, inclusive, community-driven neuroscience
R Gau, S Noble, K Heuer, KL Bottenhorn, IP Bilgin, YF Yang, ...
Neuron 109 (11), 1769-1775, 2021
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
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
Centering inclusivity in the design of online conferences—An OHBM–Open Science perspective
E Levitis, CDG Van Praag, R Gau, S Heunis, E DuPre, G Kiar, ...
GigaScience 10 (8), giab051, 2021
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
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
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
QSMxT: Robust masking and artifact reduction for quantitative susceptibility mapping
AW Stewart, SD Robinson, K O’Brien, J Jin, G Widhalm, G Hangel, ...
Magnetic resonance in medicine 87 (3), 1289-1300, 2022
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, 463-473, 2016
Improving FLAIR SAR efficiency at 7T by adaptive tailoring of adiabatic pulse power through deep learning estimation
S Abbasi‐Rad, K O’Brien, S Kelly, V Vegh, A Rodell, Y Tesiram, J Jin, ...
Magnetic Resonance in Medicine 85 (5), 2462-2476, 2021
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