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Steffen Bollmann

Showing results (11-20 of 47) with videos related to

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Physical Review Letters|October 11, 2024
Topological Green's Function Zeros in an Exactly Solved Model and BeyondSteffen Bollmann, Chandan Setty, Urban F P Seifert, et al.
Magma (New York, N.Y.)|April 17, 2016
Pulsed arterial spin labelling at ultra-high field with a B 1 (+) -optimised adiabatic labelling pulseFabian Zimmer, Kieran O'Brien, Steffen Bollmann, et al.
Neuroimage. Clinical|October 1, 2020
Functional connectivity of the irritative zone identified by electrical source imaging, and EEG-correlated fMRI analysesJavier Urriola, Steffen Bollmann, Fred Tremayne, et al.
Epilepsy Research|November 4, 2022
Spikes with and without concurrent high-frequency oscillations: Topographic relationship and neural correlates using EEG-fMRIJavier Urriola, Steffen Bollmann, Fred Tremayne, et al.
Magnetic Resonance Imaging|May 11, 2019
7T GRE-MRI signal compartments are sensitive to dysplastic tissue in focal epilepsyKiran Thapaliya, Javier Urriola, Markus Barth, et al.
Magnetic Resonance in Medicine|June 17, 2022
Deep learning-based quantitative susceptibility mapping (QSM) in the presence of fat using synthetically generated multi-echo phase training dataJannis Hanspach, Steffen Bollmann, Johanna Grigo, et al.
Magnetic Resonance in Medicine|May 26, 2016
Echo time-dependent quantitative susceptibility mapping contains information on tissue propertiesSurabhi Sood, Javier Urriola, David Reutens, et al.
Journal of Medical Imaging and Radiation Oncology|July 13, 2021
Deep learning in magnetic resonance image reconstructionShekhar S Chandra, Marlon Bran Lorenzana, Xinwen Liu, et al.
Medical Image Analysis|December 18, 2022
NeXtQSM-A complete deep learning pipeline for data-consistent Quantitative Susceptibility Mapping trained with hybrid dataFrancesco Cognolato, Kieran O'Brien, Jin Jin, et al.
Elife|August 15, 2023
Variability of visual field maps in human early extrastriate cortex challenges the canonical model of organization of V2 and V3Fernanda Lenita Ribeiro, Ashley York, Elizabeth Zavitz, et al.
Pageof 5

Showing results (11-20 of 47) with videos related to

Sort By:
Pageof 5
Physical Review Letters|October 11, 2024
Topological Green's Function Zeros in an Exactly Solved Model and BeyondSteffen Bollmann, Chandan Setty, Urban F P Seifert, et al.
Magma (New York, N.Y.)|April 17, 2016
Pulsed arterial spin labelling at ultra-high field with a B 1 (+) -optimised adiabatic labelling pulseFabian Zimmer, Kieran O'Brien, Steffen Bollmann, et al.
Neuroimage. Clinical|October 1, 2020
Functional connectivity of the irritative zone identified by electrical source imaging, and EEG-correlated fMRI analysesJavier Urriola, Steffen Bollmann, Fred Tremayne, et al.
Epilepsy Research|November 4, 2022
Spikes with and without concurrent high-frequency oscillations: Topographic relationship and neural correlates using EEG-fMRIJavier Urriola, Steffen Bollmann, Fred Tremayne, et al.
Magnetic Resonance Imaging|May 11, 2019
7T GRE-MRI signal compartments are sensitive to dysplastic tissue in focal epilepsyKiran Thapaliya, Javier Urriola, Markus Barth, et al.
Magnetic Resonance in Medicine|June 17, 2022
Deep learning-based quantitative susceptibility mapping (QSM) in the presence of fat using synthetically generated multi-echo phase training dataJannis Hanspach, Steffen Bollmann, Johanna Grigo, et al.
Magnetic Resonance in Medicine|May 26, 2016
Echo time-dependent quantitative susceptibility mapping contains information on tissue propertiesSurabhi Sood, Javier Urriola, David Reutens, et al.
Journal of Medical Imaging and Radiation Oncology|July 13, 2021
Deep learning in magnetic resonance image reconstructionShekhar S Chandra, Marlon Bran Lorenzana, Xinwen Liu, et al.
Medical Image Analysis|December 18, 2022
NeXtQSM-A complete deep learning pipeline for data-consistent Quantitative Susceptibility Mapping trained with hybrid dataFrancesco Cognolato, Kieran O'Brien, Jin Jin, et al.
Elife|August 15, 2023
Variability of visual field maps in human early extrastriate cortex challenges the canonical model of organization of V2 and V3Fernanda Lenita Ribeiro, Ashley York, Elizabeth Zavitz, et al.
Pageof 5