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Steffen Bollmann

Showing results (31-40 of 47) with videos related to

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Neuroimage|April 3, 2019
DeepQSM - using deep learning to solve the dipole inversion for quantitative susceptibility mappingSteffen Bollmann, Kasper Gade Bøtker Rasmussen, Mads Kristensen, et al.
Zeitschrift Fur Medizinische Physik|February 19, 2019
SHARQnet - Sophisticated harmonic artifact reduction in quantitative susceptibility mapping using a deep convolutional neural networkSteffen Bollmann, Matilde Holm Kristensen, Morten Skaarup Larsen, et al.
Neuroimage|September 21, 2019
Non-linear realignment improves hippocampus subfield segmentation reliabilityThomas B Shaw, Steffen Bollmann, Nicole T Atcheson, et al.
Plos One|September 11, 2015
Effects of Steroid Hormones on Sex Differences in Cerebral PerfusionCarmen Ghisleni, Steffen Bollmann, Anna Biason-Lauber, et al.
Journal of Neuroscience Methods|November 12, 2016
The PhysIO Toolbox for Modeling Physiological Noise in fMRI DataLars Kasper, Steffen Bollmann, Andreea O Diaconescu, et al.
Biorxiv : the Preprint Server for Biology|December 15, 2025
Predicting functional topography of the human visual cortex from cortical anatomy at scaleFernanda L Ribeiro, Robert Satzger, Felix Hoffstaedter, et al.
Scientific Data|May 14, 2025
An Annotated Multi-Site and Multi-Contrast Magnetic Resonance Imaging Dataset for the study of the Human Tongue MusculatureFernanda L Ribeiro, Xiangyun Zhu, Xincheng Ye, et al.
Magnetic Resonance in Medicine|October 23, 2021
QSMxT: Robust masking and artifact reduction for quantitative susceptibility mappingAshley Wilton Stewart, Simon Daniel Robinson, Kieran O'Brien, et al.
Human Brain Mapping|August 7, 2023
Improved dynamic distortion correction for fMRI using single-echo EPI and a readout-reversed first image (REFILL)Simon Daniel Robinson, Beata Bachrata, Korbinian Eckstein, et al.
Biorxiv : the Preprint Server for Biology|June 3, 2024
VesselBoost: A Python Toolbox for Small Blood Vessel Segmentation in Human Magnetic Resonance Angiography DataMarshall Xu, Fernanda L Ribeiro, Markus Barth, et al.
Pageof 5

Showing results (31-40 of 47) with videos related to

Sort By:
Pageof 5
Neuroimage|April 3, 2019
DeepQSM - using deep learning to solve the dipole inversion for quantitative susceptibility mappingSteffen Bollmann, Kasper Gade Bøtker Rasmussen, Mads Kristensen, et al.
Zeitschrift Fur Medizinische Physik|February 19, 2019
SHARQnet - Sophisticated harmonic artifact reduction in quantitative susceptibility mapping using a deep convolutional neural networkSteffen Bollmann, Matilde Holm Kristensen, Morten Skaarup Larsen, et al.
Neuroimage|September 21, 2019
Non-linear realignment improves hippocampus subfield segmentation reliabilityThomas B Shaw, Steffen Bollmann, Nicole T Atcheson, et al.
Plos One|September 11, 2015
Effects of Steroid Hormones on Sex Differences in Cerebral PerfusionCarmen Ghisleni, Steffen Bollmann, Anna Biason-Lauber, et al.
Journal of Neuroscience Methods|November 12, 2016
The PhysIO Toolbox for Modeling Physiological Noise in fMRI DataLars Kasper, Steffen Bollmann, Andreea O Diaconescu, et al.
Biorxiv : the Preprint Server for Biology|December 15, 2025
Predicting functional topography of the human visual cortex from cortical anatomy at scaleFernanda L Ribeiro, Robert Satzger, Felix Hoffstaedter, et al.
Scientific Data|May 14, 2025
An Annotated Multi-Site and Multi-Contrast Magnetic Resonance Imaging Dataset for the study of the Human Tongue MusculatureFernanda L Ribeiro, Xiangyun Zhu, Xincheng Ye, et al.
Magnetic Resonance in Medicine|October 23, 2021
QSMxT: Robust masking and artifact reduction for quantitative susceptibility mappingAshley Wilton Stewart, Simon Daniel Robinson, Kieran O'Brien, et al.
Human Brain Mapping|August 7, 2023
Improved dynamic distortion correction for fMRI using single-echo EPI and a readout-reversed first image (REFILL)Simon Daniel Robinson, Beata Bachrata, Korbinian Eckstein, et al.
Biorxiv : the Preprint Server for Biology|June 3, 2024
VesselBoost: A Python Toolbox for Small Blood Vessel Segmentation in Human Magnetic Resonance Angiography DataMarshall Xu, Fernanda L Ribeiro, Markus Barth, et al.
Pageof 5