Steffen Bollmann

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Coauteurs

Markus BarthThe University of QueenslandAdresse e-mail validée de uq.edu.au
Kieran O'BrienSiemens Healthcare Pty LtdAdresse e-mail validée de siemens.com
Viktor VeghCentre for Advanced Imaging, The University of QueenslandAdresse e-mail validée de uq.edu.au
Simon-Shlomo PoilVU University AmsterdamAdresse e-mail validée de poil.dk
Dr Andrew JankeUniversity of SydneyAdresse e-mail validée de sydney.edu.au
Christian LangkammerDepartment of Neurology, Medical University of Graz, AustriaAdresse e-mail validée de neuroimaging.at
Javier Urriola YaksicB. Medical Imaging, M. MagResTech, PhDAdresse e-mail validée de uqconnect.edu.au
Kiran ThapaliyaGriffith UniversityAdresse e-mail validée de griffith.edu.au
Lars KasperBRAIN-To Lab, Techna Institute, University Health Network, Toronto, CanadaAdresse e-mail validée de rmp.uhn.ca
Tobias U. HauserWellcome Centre for Human Neuroimaging & Max Planck UCL Centre for Computational PsychiatryAdresse e-mail validée de ucl.ac.uk
Klaas PruessmannProfessor of Bioimaging, ETH Zurich and University of ZurichAdresse e-mail validée de biomed.ee.ethz.ch
Jakob HeinzleTranslational Neuromodelling Unit, Institute for Biomedical Engineering, University & ETH ZürichAdresse e-mail validée de biomed.ee.ethz.ch
Klaas Enno StephanTranslational Neuromodeling Unit (TNU), IBT, University of Zurich and ETH ZurichAdresse e-mail validée de uzh.ch
Richard EddenProfessor of Radiology, The Johns Hopkins University School of MedicineAdresse e-mail validée de jhu.edu
David AlsopProfessor of Radiology, Beth Israel Deaconess Medical Center and Harvard Medical SchoolAdresse e-mail validée de bidmc.harvard.edu
Thomas ShawPhD candidate, The University of QueenslandAdresse e-mail validée de uq.edu.au
Simon RobinsonMedical University of ViennaAdresse e-mail validée de meduniwien.ac.at
Jens HaueisenFull Professor and chair of the Institute of Biomedical Engineering and Informatics, TU IlmenauAdresse e-mail validée de tu-ilmenau.de
Johannes RuehleCognex CorporationAdresse e-mail validée de cognex.com
Christoph DinhPostdoctoral Researcher, Martinos Center - Harvard Medical School, MGHAdresse e-mail validée de nmr.mgh.harvard.edu

Steffen Bollmann

Centre For Advanced Imaging, University of Queensland, Brisbane, Australia

Adresse e-mail validée de cai.uq.edu.au - Page d'accueil

MRI quantitative imaging image segmentation


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
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	103	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	67	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	52	2015
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	48	2013
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	42	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	25	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	24	2015
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	17	2015
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	16	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	14	2018
DeepQSM-using deep learning to solve the dipole inversion for MRI susceptibility mapping KGB Rasmussen, M Kristensen, RG Blendal, LR Østergaard, ... BioRxiv, 278036, 2018	13	2018
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	12	2018
Pulsed arterial spin labelling at ultra-high field with a B₁⁺-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	12	2016
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	8	2017
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	6	2019
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	5	2016
Overview of quantitative susceptibility mapping using deep learning: Current status, challenges and opportunities W Jung, S Bollmann, J Lee NMR in Biomedicine, e4292, 2020	4	2020
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	4	2018
A GPU-accelerated performance optimized RAP-music algorithm for real-time source localization C Dinh, J Rühle, S Bollmann, J Haueisen, D Güllmar Biomedical Engineering/Biomedizinische Technik 57 (SI-1 Track-O), 808-808, 2012	3	2012
Influence of 7T GRE-MRI signal compartment model choice on tissue parameters K Thapaliya, V Vegh, S Bollmann, M Barth Frontiers in Neuroscience 14, 271, 2020	2	2020

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