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2019 Journal Article 7T GRE-MRI signal compartments are sensitive to dysplastic tissue in focal epilepsyThapaliya, Kiran, Urriola, Javier, Barth, Markus, Reutens, David C., Bollmann, Steffen and Vegh, Viktor (2019). 7T GRE-MRI signal compartments are sensitive to dysplastic tissue in focal epilepsy. Magnetic Resonance Imaging, 61, 1-8. doi: 10.1016/j.mri.2019.05.011 |
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2019 Journal Article DeepQSM - using deep learning to solve the dipole inversion for quantitative susceptibility mappingBollmann, Steffen, Rasmussen, Kasper Gade Bøtker, Kristensen, Mads, Blendal, Rasmus Guldhammer, Østergaard, Lasse Riis, Plocharski, Maciej, O'Brien, Kieran, Langkammer, Christian, Janke, Andrew and Barth, Markus (2019). DeepQSM - using deep learning to solve the dipole inversion for quantitative susceptibility mapping. NeuroImage, 195, 373-383. doi: 10.1016/j.neuroimage.2019.03.060 |
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2019 Conference Publication Quantitative susceptibility mapping for routine clinical use – an inline automated QSM reconstruction pipelineStewart, Ashley, O'Brien, Kieran, Kim, Jinsuh, Maréchal, Bénédicte, Nasrallah, Fatima, Kean, Michael, Barth, Markus and Bollmann, Steffen (2019). Quantitative susceptibility mapping for routine clinical use – an inline automated QSM reconstruction pipeline. ISMRM 2019, Montreal, Canada, 11-16 May 2019. Concord, CA United States: International Society for Magnetic Resonance in Medicine. |
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2019 Journal Article SHARQnet – Sophisticated harmonic artifact reduction in quantitative susceptibility mapping using a deep convolutional neural networkBollmann, Steffen, Kristensen, Matilde Holm, Larsen, Morten Skaarup, Olsen, Mathias Vassard, Pedersen, Mads Jozwiak, Østergaard, Lasse Riis, O’Brien, Kieran, Langkammer, Christian, Fazlollahi, Amir and Barth, Markus (2019). SHARQnet – Sophisticated harmonic artifact reduction in quantitative susceptibility mapping using a deep convolutional neural network. Zeitschrift für Medizinische Physik, 29 (2), 139-149. doi: 10.1016/j.zemedi.2019.01.001 |
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2018 Conference Publication 7T GRE-MRI frequency shifts obtained from signal compartments can differentiate normal from dysplastic tissue in focal epilepsyThapaliya, Kiran, Barth, Markus, Bollmann, Steffen, Reutens, David and Vegh, Viktor (2018). 7T GRE-MRI frequency shifts obtained from signal compartments can differentiate normal from dysplastic tissue in focal epilepsy. ISMRM, Paris, France, 16-21 June 2018. |
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2018 Conference Publication Improving FLAIR SAR efficiency by predicting B1-maps at 7T from a standard localizer scan using deep convolutional neural networksBollmann, Steffen, Kelly, Samuel, Vegh, Viktor, Rodell, Anders, Tesiram, Yas, Barth, Markus and O'Brien, Kieran (2018). Improving FLAIR SAR efficiency by predicting B1-maps at 7T from a standard localizer scan using deep convolutional neural networks. ISMRM, Paris, France, 17-21 June 2018. |
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2018 Conference Publication Myelin water fraction across the corpus callosum using multi-echo gradient echo at 7T - influence of model settings and flip angleThapaliya, Kiran, Vegh, Viktor, Bollmann, Steffen and Barth, Markus (2018). Myelin water fraction across the corpus callosum using multi-echo gradient echo at 7T - influence of model settings and flip angle. ISMRM, Paris, France, 16-21 June 2018. |
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2017 Journal Article Assessment of microstructural signal compartments across the corpus callosum using multi-echo gradient recalled echo at 7 TThapaliya, Kiran, Vegh, Viktor, Bollmann, Steffen and Barth, Markus (2017). Assessment of microstructural signal compartments across the corpus callosum using multi-echo gradient recalled echo at 7 T. NeuroImage, 182, 407-416. doi: 10.1016/j.neuroimage.2017.11.029 |
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2017 Journal Article Real-Time Clustered Multiple Signal Classification (RTC-MUSIC)Dinh, Christoph, Esch, Lorenz, Rühle, Johannes, Bollmann, Steffen, Güllmar, Daniel, Baumgarten, Daniel, Hämäläinen, Matti S. and Haueisen, Jens (2017). Real-Time Clustered Multiple Signal Classification (RTC-MUSIC). Brain Topography, 31 (1), 125-128. doi: 10.1007/s10548-017-0586-7 |
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2017 Journal Article The challenge of bias-free coil combination for quantitative susceptibility mapping at ultra-high fieldBollmann, Steffen, Robinson, Simon Daniel, O'Brien, Kieran, Vegh, Viktor, Janke, Andrew, Marstaller, Lars, Reutens, David and Barth, Markus (2017). The challenge of bias-free coil combination for quantitative susceptibility mapping at ultra-high field. Magnetic Resonance in Medicine, 79 (1), 97-107. doi: 10.1002/mrm.26644 |
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2017 Journal Article The PhysIO toolbox for modeling physiological noise in fMRI dataKasper, Lars, Bollmann, Steffen, Diaconescu, Andreea O., Hutton, Chloe, Heinzle, Jakob, Iglesias, Sandra, Hauser, Tobias U., Sebold, Miriam, Manjaly, Zina-Mary, Pruessmann, Klaas P. and Stephan, Klaas E. (2017). The PhysIO toolbox for modeling physiological noise in fMRI data. Journal of Neuroscience Methods, 276, 56-72. doi: 10.1016/j.jneumeth.2016.10.019 |
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2017 Other Outputs MP2RAGE T1-weighted average 7T modelBollmann, Steffen, Janke, Andrew, Marstaller, Lars, Reutens, David, O'Brien, Kieran and Barth, Markus (2017). MP2RAGE T1-weighted average 7T model. The University of Queensland. (Dataset) doi: 10.14264/uql.2017.266 |
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2017 Other Outputs GRE and QSM average 7T modelBollmann, Steffen, Janke, Andrew, Marstaller, Lars, Reutens, David, O'Brien, Kieran and Barth, Markus (2017). GRE and QSM average 7T model. The University of Queensland. (Dataset) doi: 10.14264/uql.2017.178 |
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2017 Conference Publication Deep Mapping: Using deep convolutional neural networks to estimate quantitative T1 maps trained on a 7 T minimum deformation average modelBollmann, Steffen, Andrew Janke and Markus Barth (2017). Deep Mapping: Using deep convolutional neural networks to estimate quantitative T1 maps trained on a 7 T minimum deformation average model. ISMRM, Honolulu, 22-27 April 2017. |
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2017 Other Outputs Turbo Spin Echo average 7T modelBollmann, Steffen, Janke, Andrew, Marstaller, Lars, Reutens, David, O'Brien, Kieran and Barth, Markus (2017). Turbo Spin Echo average 7T model. The University of Queensland. (Dataset) doi: 10.14264/uql.2017.267 |
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2017 Conference Publication Non-Linear Realignment Using Minimum Deformation Averaging for Single-Subject FMRI at Ultra-High FieldSaskia Bollmann, Steffen Bollmann, Alex Puckett, Andrew Janke and Markus Barth (2017). Non-Linear Realignment Using Minimum Deformation Averaging for Single-Subject FMRI at Ultra-High Field. ISMRM, Honolulu, 22-27 April 2017. |
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2017 Conference Publication Contrast Matching of Ultra-High Resolution Minimum Deformation Averaged MRI Models to Facilitate Computation of a Multi-Modal Model of the Human BrainJ. Munk, N. Jacobsen, M. Plocharski, L. R. Østergaard, M. Barth, A. Janke and S. Bollmann (2017). Contrast Matching of Ultra-High Resolution Minimum Deformation Averaged MRI Models to Facilitate Computation of a Multi-Modal Model of the Human Brain. ISMRM, Honolulu, 22-27 April 2017. |
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2017 Conference Publication Signal Compartments Mapped from Multi-Echo Gradient Recalled Echo Data Vary across the Corpus CallosumKiran Thapaliya, S. Bollmann, V. Vegh and M. Barth (2017). Signal Compartments Mapped from Multi-Echo Gradient Recalled Echo Data Vary across the Corpus Callosum. ISMRM, Honolulu, 22-27 April 2017. |
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2016 Journal Article Accelerated mapping of magnetic susceptibility using 3D planes-on-a-paddlewheel (POP) EPI at ultra-high field strengthStäb, Daniel, Bollmann, Steffen, Langkammer, Christian, Bredies, Kristian and Barth, Markus (2016). Accelerated mapping of magnetic susceptibility using 3D planes-on-a-paddlewheel (POP) EPI at ultra-high field strength. NMR in Biomedicine, 30 (4) e3620, e3620. doi: 10.1002/nbm.3620 |
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2016 Journal Article Echo time-dependent quantitative susceptibility mapping contains information on tissue propertiesSood, Surabhi, Urriola, Javier, Reutens, David C., O'Brien, Kieran, Bollmann, Steffen, Barth, Markus and Vegh, Viktor (2016). Echo time-dependent quantitative susceptibility mapping contains information on tissue properties. Magnetic Resonance in Medicine, 77 (5), 1946-1958. doi: 10.1002/mrm.26281 |
