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2021

Journal Article

Deep learning in magnetic resonance image reconstruction

Chandra, Shekhar S., Bran Lorenzana, Marlon, Liu, Xinwen, Liu, Siyu, Bollmann, Steffen and Crozier, Stuart (2021). Deep learning in magnetic resonance image reconstruction. Journal of Medical Imaging and Radiation Oncology, 65 (5) 1754-9485.13276, 564-577. doi: 10.1111/1754-9485.13276

Deep learning in magnetic resonance image reconstruction

2021

Journal Article

Brainhack: Developing a culture of open, inclusive, community-driven neuroscience

Gau, Rémi, Noble, Stephanie, Heuer, Katja, Bottenhorn, Katherine L., Bilgin, Isil P., Yang, Yu-Fang, Huntenburg, Julia M., Bayer, Johanna M.M., Bethlehem, Richard A.I., Rhoads, Shawn A., Vogelbacher, Christoph, Borghesani, Valentina, Levitis, Elizabeth, Wang, Hao-Ting, Van Den Bossche, Sofie, Kobeleva, Xenia, Legarreta, Jon Haitz, Guay, Samuel, Atay, Selim Melvin, Varoquaux, Gael P., Huijser, Dorien C., Sandström, Malin S., Herholz, Peer, Nastase, Samuel A., Badhwar, AmanPreet, Dumas, Guillaume, Schwab, Simon, Moia, Stefano, Dayan, Michael ... Zuo, Xi-Nian (2021). Brainhack: Developing a culture of open, inclusive, community-driven neuroscience. Neuron, 109 (11), 1769-1775. doi: 10.1016/j.neuron.2021.04.001

Brainhack: Developing a culture of open, inclusive, community-driven neuroscience

2021

Conference Publication

Submillimeter, aub-minute quantitative susceptibility mapping using a multi-shot 3D-EPI with 2D CAIPIRINHA acceleration

Tourell, Monique, Jin, Jin, Stewart, Ashley, Bollmann, Saskia, Bollmann, Steffen, Robinson, Simon, O'Brien, Kieran and Barth, Markus (2021). Submillimeter, aub-minute quantitative susceptibility mapping using a multi-shot 3D-EPI with 2D CAIPIRINHA acceleration. ISMRM 2021, Online, 15-20 May 2021. Concord, CA United States: International Society for Magnetic Resonance in Medicine.

Submillimeter, aub-minute quantitative susceptibility mapping using a multi-shot 3D-EPI with 2D CAIPIRINHA acceleration

2021

Conference Publication

QSMxT - a cross-platform, flexible, lightweight, and scalable processing pipeline for quantitative susceptibility mapping

Stewart, Ashley, Robinson, Simon Daniel, O'Brien, Kieran, Jin, Jin, Walls, Angela, Narayanan, Aswin, Barth, Markus and Bollmann, Steffen (2021). QSMxT - a cross-platform, flexible, lightweight, and scalable processing pipeline for quantitative susceptibility mapping. ISMRM 2021, Online, 15-21 May 2021. Concord, CA USA: International Society for Magnetic Resonance in Medicine.

QSMxT - a cross-platform, flexible, lightweight, and scalable processing pipeline for quantitative susceptibility mapping

2021

Conference Publication

Robust masking techniques for multi-echo quantitative susceptibility mapping

Stewart, Ashley, Robinson, Simon Daniel, O'Brien, Kieran, Jin, Jin, Widhalm, Georg, Hangel, Gilbert, Walls, Angela, Goodwin, Jonathan, Eckstein, Korbinian, Barth, Markus and Bollmann, Steffen (2021). Robust masking techniques for multi-echo quantitative susceptibility mapping. ISMRM 2021, Online, 15-20 May 2021. Concord, CA United States: International Society for Magnetic Resonance in Medicine.

Robust masking techniques for multi-echo quantitative susceptibility mapping

2021

Journal Article

Improving FLAIR SAR efficiency at 7T by adaptive tailoring of adiabatic pulse power through deep learning estimation

Abbasi‐Rad, Shahrokh, O’Brien, Kieran, Kelly, Samuel, Vegh, Viktor, Rodell, Anders, Tesiram, Yasvir, Jin, Jin, Barth, Markus and Bollmann, Steffen (2021). Improving FLAIR SAR efficiency at 7T by adaptive tailoring of adiabatic pulse power through deep learning estimation. Magnetic Resonance in Medicine, 85 (5), 2462-2476. doi: 10.1002/mrm.28590

Improving FLAIR SAR efficiency at 7T by adaptive tailoring of adiabatic pulse power through deep learning estimation

2020

Journal Article

MRI phase offset correction method impacts quantitative susceptibility mapping

Abdulla, Shaeez Usman, Reutens, David, Bollmann, Steffen and Vegh, Viktor (2020). MRI phase offset correction method impacts quantitative susceptibility mapping. Magnetic Resonance Imaging, 74, 139-151. doi: 10.1016/j.mri.2020.08.009

MRI phase offset correction method impacts quantitative susceptibility mapping

2020

Journal Article

Longitudinal Automatic Segmentation of Hippocampal Subfields (LASHiS) using multi-contrast MRI

Shaw, Thomas, York, Ashley, Ziaei, Maryam, Barth, Markus and Bollmann, Steffen (2020). Longitudinal Automatic Segmentation of Hippocampal Subfields (LASHiS) using multi-contrast MRI. NeuroImage, 218 116798, 116798. doi: 10.1016/j.neuroimage.2020.116798

Longitudinal Automatic Segmentation of Hippocampal Subfields (LASHiS) using multi-contrast MRI

2020

Journal Article

Towards optimising MRI characterisation of Tissue (TOMCAT) dataset including all Longitudinal Automatic Segmentation of Hippocampal Subfields (LASHiS) data

Shaw, Thomas, York, Ashley, Barth, Markus and Bollmann, Steffen (2020). Towards optimising MRI characterisation of Tissue (TOMCAT) dataset including all Longitudinal Automatic Segmentation of Hippocampal Subfields (LASHiS) data. Data in Brief, 32 106043, 106043. doi: 10.1016/j.dib.2020.106043

Towards optimising MRI characterisation of Tissue (TOMCAT) dataset including all Longitudinal Automatic Segmentation of Hippocampal Subfields (LASHiS) data

2020

Journal Article

Influence of 7T GRE-MRI signal compartment model choice on tissue parameters

Thapaliya, Kiran, Vegh, Viktor, Bollmann, Steffen and Barth, Markus (2020). Influence of 7T GRE-MRI signal compartment model choice on tissue parameters. Frontiers in Neuroscience, 14 271, 271. doi: 10.3389/fnins.2020.00271

Influence of 7T GRE-MRI signal compartment model choice on tissue parameters

2020

Journal Article

Overview of quantitative susceptibility mapping using deep learning: current status, challenges and opportunities

Jung, Woojin, Bollmann, Steffen and Lee, Jongho (2020). Overview of quantitative susceptibility mapping using deep learning: current status, challenges and opportunities. NMR in Biomedicine, 35 (4) e4292, e4292. doi: 10.1002/nbm.4292

Overview of quantitative susceptibility mapping using deep learning: current status, challenges and opportunities

2020

Journal Article

Functional connectivity of the irritative zone identified by electrical source imaging, and EEG-correlated fMRI analyses

Urriola, Javier, Bollmann, Steffen, Tremayne, Fred, Burianová, Hana, Marstaller, Lars and Reutens, David (2020). Functional connectivity of the irritative zone identified by electrical source imaging, and EEG-correlated fMRI analyses. NeuroImage: Clinical, 28 102440, 102440. doi: 10.1016/j.nicl.2020.102440

Functional connectivity of the irritative zone identified by electrical source imaging, and EEG-correlated fMRI analyses

2019

Journal Article

Non-linear realignment improves hippocampus subfield segmentation reliability

Shaw, Thomas B., Bollmann, Steffen, Atcheson, Nicole T., Strike, Lachlan T., Guo, Christine, McMahon, Katie L., Fripp, Jurgen, Wright, Margaret J., Salvado, Olivier and Barth, Markus (2019). Non-linear realignment improves hippocampus subfield segmentation reliability. NeuroImage, 203 116206, 116206. doi: 10.1016/j.neuroimage.2019.116206

Non-linear realignment improves hippocampus subfield segmentation reliability

2019

Journal Article

7T GRE-MRI signal compartments are sensitive to dysplastic tissue in focal epilepsy

Thapaliya, 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

7T GRE-MRI signal compartments are sensitive to dysplastic tissue in focal epilepsy

2019

Journal Article

DeepQSM - using deep learning to solve the dipole inversion for quantitative susceptibility mapping

Bollmann, 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

DeepQSM - using deep learning to solve the dipole inversion for quantitative susceptibility mapping

2019

Conference Publication

Quantitative susceptibility mapping for routine clinical use – an inline automated QSM reconstruction pipeline

Stewart, 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.

Quantitative susceptibility mapping for routine clinical use – an inline automated QSM reconstruction pipeline

2019

Journal Article

SHARQnet – Sophisticated harmonic artifact reduction in quantitative susceptibility mapping using a deep convolutional neural network

Bollmann, 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

SHARQnet – Sophisticated harmonic artifact reduction in quantitative susceptibility mapping using a deep convolutional neural network

2018

Conference Publication

Myelin water fraction across the corpus callosum using multi-echo gradient echo at 7T - influence of model settings and flip angle

Thapaliya, 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.

Myelin water fraction across the corpus callosum using multi-echo gradient echo at 7T - influence of model settings and flip angle

2018

Conference Publication

7T GRE-MRI frequency shifts obtained from signal compartments can differentiate normal from dysplastic tissue in focal epilepsy

Thapaliya, 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.

7T GRE-MRI frequency shifts obtained from signal compartments can differentiate normal from dysplastic tissue in focal epilepsy

2018

Conference Publication

Improving FLAIR SAR efficiency by predicting B1-maps at 7T from a standard localizer scan using deep convolutional neural networks

Bollmann, 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.

Improving FLAIR SAR efficiency by predicting B1-maps at 7T from a standard localizer scan using deep convolutional neural networks