The University of Queensland

Variability of visual field maps in human early extrastriate cortex challenges the canonical model of organization of V2 and V3

Lenita Ribeiro, Fernanda, York, Ashley, Zavitz, Elizabeth, Bollmann, Steffen, Rosa, Marcello G.P. and Puckett, Alexander (2023). Variability of visual field maps in human early extrastriate cortex challenges the canonical model of organization of V2 and V3. eLife e86439. doi: 10.7554/eLife.86439

Variability of visual field maps in human early extrastriate cortex challenges the canonical model of organization of V2 and V3

Ribeiro, Fernanda Lenita, York, Ashley, Zavitz, Elizabeth, Bollmann, Steffen, Rosa, Marcello GP and Puckett, Alexander (2023). Variability of visual field maps in human early extrastriate cortex challenges the canonical model of organization of V2 and V3. eLife, 12. doi: 10.7554/elife.86439

Improved dynamic distortion correction for <scp>fMRI</scp> using single‐echo <scp>EPI</scp> and a readout‐reversed first image (<scp>REFILL</scp>)

Robinson, Simon Daniel, Bachrata, Beata, Eckstein, Korbinian, Bollmann, Saskia, Bollmann, Steffen, Hodono, Shota, Cloos, Martijn, Tourell, Monique, Jin, Jin, O'Brien, Kieran, Reutens, David C., Trattnig, Siegfried, Enzinger, Christian and Barth, Markus (2023). Improved dynamic distortion correction for fMRI using single‐echo EPI and a readout‐reversed first image (REFILL). Human Brain Mapping, 44 (15), 5095-5112. doi: 10.1002/hbm.26440

NeXtQSM—A complete deep learning pipeline for data-consistent Quantitative Susceptibility Mapping trained with hybrid data

Cognolato, Francesco, O’Brien, Kieran, Jin, Jin, Robinson, Simon, Laun, Frederik B., Barth, Markus and Bollmann, Steffen (2023). NeXtQSM—A complete deep learning pipeline for data-consistent Quantitative Susceptibility Mapping trained with hybrid data. Medical Image Analysis, 84 102700. doi: 10.1016/j.media.2022.102700

Deep Learning Based Modelling of Three-dimensional Magnetic Field

Nguyen, Van Tai, Bollmann, Steffen, Bermingham, Michael, Nguyen, Ha Xuan and Dargusch, Matthew S. (2023). Deep Learning Based Modelling of Three-dimensional Magnetic Field. Progress In Electromagnetics Research B, 100, 173-189. doi: 10.2528/pierb23051402

Spikes with and without concurrent high-frequency oscillations: topographic relationship and neural correlates using EEG-fMRI

Urriola, Javier, Bollmann, Steffen, Tremayne, Fred, Burianová, Hana, Marstaller, Lars and Reutens, David (2022). Spikes with and without concurrent high-frequency oscillations: topographic relationship and neural correlates using EEG-fMRI. Epilepsy Research, 188 107039, 1-10. doi: 10.1016/j.eplepsyres.2022.107039

Efficient modelling of permanent magnet field distribution for deep learning applications

Nguyen, Van Tai, Bollmann, Steffen, Bermingham, Michael and Dargusch, Matthew S. (2022). Efficient modelling of permanent magnet field distribution for deep learning applications. Journal of Magnetism and Magnetic Materials, 559 169521, 1-12. doi: 10.1016/j.jmmm.2022.169521

Open-Source Hypothalamic-ForniX (OSHy-X) Atlases and Segmentation Tool for 3T and 7T

Chang, Jeryn, Steyn, Frederik, Ngo, Shyuan, Henderson, Robert, Guo, Christine, Bollmann, Steffen, Fripp, Jurgen, Barth, Markus and Shaw, Thomas (2022). Open-Source Hypothalamic-ForniX (OSHy-X) Atlases and Segmentation Tool for 3T and 7T. Journal of Open Source Software, 7 (76), 4368. doi: 10.21105/joss.04368

Deep learning–based quantitative susceptibility mapping (QSM) in the presence of fat using synthetically generated multi-echo phase training data

Hanspach, Jannis, Bollmann, Steffen, Grigo, Johanna, Karius, Andre, Uder, Michael and Laun, Frederik B. (2022). Deep learning–based quantitative susceptibility mapping (QSM) in the presence of fat using synthetically generated multi-echo phase training data. Magnetic Resonance in Medicine, 88 (4), 1548-1560. doi: 10.1002/mrm.29265

Predicting the retinotopic organization of human visual cortex from anatomy using geometric deep learning

Ribeiro, Fernanda L., Bollmann, Steffen and Puckett, Alexander M. (2021). Predicting the retinotopic organization of human visual cortex from anatomy using geometric deep learning. NeuroImage, 244 118624, 118624. doi: 10.1016/j.neuroimage.2021.118624

QSMxT: Robust masking and artifact reduction for quantitative susceptibility mapping

Stewart, Ashley Wilton, Robinson, Simon Daniel, O’Brien, Kieran, Jin, Jin, Widhalm, Georg, Hangel, Gilbert, Walls, Angela, Goodwin, Jonathan, Eckstein, Korbinian, Tourell, Monique, Morgan, Catherine, Narayanan, Aswin, Barth, Markus and Bollmann, Steffen (2021). QSMxT: Robust masking and artifact reduction for quantitative susceptibility mapping. Magnetic Resonance in Medicine, 87 (3), 1289-1300. doi: 10.1002/mrm.29048

Centering inclusivity in the design of online conferences—An OHBM–Open Science perspective

Levitis, Elizabeth, van Praag, Cassandra D Gould, Gau, Rémi, Heunis, Stephan, DuPre, Elizabeth, Kiar, Gregory, Bottenhorn, Katherine L, Glatard, Tristan, Nikolaidis, Aki, Whitaker, Kirstie Jane, Mancini, Matteo, Niso, Guiomar, Afyouni, Soroosh, Alonso-Ortiz, Eva, Appelhoff, Stefan, Arnatkeviciute, Aurina, Atay, Selim Melvin, Auer, Tibor, Baracchini, Giulia, Bayer, Johanna M M, Beauvais, Michael J S, Bijsterbosch, Janine D, Bilgin, Isil P, Bollmann, Saskia, Bollmann, Steffen, Botvinik-Nezer, Rotem, Bright, Molly G, Calhoun, Vince D, Chen, Xiao ... Maumet, Camille (2021). Centering inclusivity in the design of online conferences—An OHBM–Open Science perspective. GigaScience, 10 (8) giab051. doi: 10.1093/gigascience/giab051

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

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

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

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

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

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

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

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

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

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

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

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

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

Assessment of microstructural signal compartments across the corpus callosum using multi-echo gradient recalled echo at 7 T

Thapaliya, 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

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

The challenge of bias-free coil combination for quantitative susceptibility mapping at ultra-high field

Bollmann, 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

The PhysIO toolbox for modeling physiological noise in fMRI data

Kasper, 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

Accelerated mapping of magnetic susceptibility using 3D planes-on-a-paddlewheel (POP) EPI at ultra-high field strength

Stäb, 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

Echo time-dependent quantitative susceptibility mapping contains information on tissue properties

Sood, 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

Pulsed arterial spin labelling at ultra-high field with a B1 +-optimised adiabatic labelling pulse

Zimmer, Fabian, O'Brien, Kieran, Bollmann, Steffen, Pfeuffer, Josef, Heberlein, Keith and Barth, Markus (2016). Pulsed arterial spin labelling at ultra-high field with a B1 +-optimised adiabatic labelling pulse. Magnetic Resonance Materials in Physics, Biology and Medicine, 29 (3), 463-473. doi: 10.1007/s10334-016-0555-2

Effects of Steroid Hormones on Sex Differences in Cerebral Perfusion

Ghisleni, Carmen, Bollmann, Steffen, Biason-Lauber, Anna, Poil, Simon-Shlomo, Brandeis, Daniel, Martin, Ernst, Michels, Lars, Hersberger, Martin, Suckling, John, Klaver, Peter and O'Gorman, Ruth L. (2015). Effects of Steroid Hormones on Sex Differences in Cerebral Perfusion. PLoS One, 10 (9) e0135827, e0135827-e0135827. doi: 10.1371/journal.pone.0135827

Subcortical Glutamate Mediates the Reduction of Short-Range Functional Connectivity with Age in a Developmental Cohort

Ghisleni, Carmen, Bollmann, Steffen, Poil, Simon-Shlomo, Brandeis, Daniel, Martin, Ernst, Michels, Lars, O’Gorman, Ruth L. and Klaver, Peter (2015). Subcortical Glutamate Mediates the Reduction of Short-Range Functional Connectivity with Age in a Developmental Cohort. The Journal of Neuroscience, 35 (22), 8433-8441. doi: 10.1523/JNEUROSCI.4375-14.2015

Age-dependent and -independent changes in attention-deficit/hyperactivity disorder (ADHD) during spatial working memory performance

Bollmann, Steffen, Ghisleni, Carmen, Poil, Simon-Shlomo, Martin, Ernst, Ball, Juliane, Eich-Höchli, Dominique, Klaver, Peter, O’Gorman, Ruth L., Michels, Lars and Brandeis, Daniel (2015). Age-dependent and -independent changes in attention-deficit/hyperactivity disorder (ADHD) during spatial working memory performance. The World Journal of Biological Psychiatry, 18 (4), 279-290. doi: 10.3109/15622975.2015.1112034

Developmental Changes in Gamma-Aminobutyric Acid Levels in Attention-Deficit/hyperactivity Disorder

Bollmann, S., Ghisleni, C., Poil, S.-S., Martin, E., Ball, J., Eich-Höchli, D., Edden, R. A. E., Klaver, P., Michels, L., Brandeis, D. and O'Gorman, R. L. (2015). Developmental Changes in Gamma-Aminobutyric Acid Levels in Attention-Deficit/hyperactivity Disorder. Translational Psychiatry, 5 (6) e589, e589.1-e589.8. doi: 10.1038/tp.2015.79

Age dependent electroencephalographic changes in attention-deficit/hyperactivity disorder (ADHD)

Poil, S. -S., Bollmann, S., Ghisleni, C., O'Gorman, R. L., Klaver, P., Ball, J., Eich-Hoechli, D., Brandeis, D. and Michels, L. (2014). Age dependent electroencephalographic changes in attention-deficit/hyperactivity disorder (ADHD). Clinical Neurophysiology, 125 (8), 1626-1638. doi: 10.1016/j.clinph.2013.12.118

Coupling between resting cerebral perfusion and EEG

O'Gorman, R. L., Poil, S-S., Brandeis, D., Klaver, P., Bollmann, S., Ghisleni, C., Luechinger, R., Martin, E., Shankaranarayanan, A., Alsop, D. C. and Michels, L. (2013). Coupling between resting cerebral perfusion and EEG. Brain Topography, 26 (3), 442-457. doi: 10.1007/s10548-012-0265-7

Proceedings of the OHBM Brainhack 2021

Nikolaidis, Aki, Manchini, Matteo, Auer, Tibor, L. Bottenhorn, Katherine, Alonso-Ortiz, Eva, Gonzalez-Escamilla, Gabriel, Valk, Sofie, Glatard, Tristan, Selim Atay, Melvin, M.M. Bayer, Johanna, Bijsterbosch, Janine, Algermissen, Johannes, Beck, Natacha, Bermudez, Patrick, Poyraz Bilgin, Isil, Bollmann, Steffen, Bradley, Claire, E.J. Campbell, Megan, Caron, Bryan, Civier, Oren, Pedro Coelho, Luis, El Damaty, Shady, Das, Samir, Dugré, Mathieu, Earl, Eric, Evas, Stefanie, Lopes Fischer, Nastassja, Fu Yap, De, G. Garner, Kelly ... P. Zwiers, Marcel (2023). Proceedings of the OHBM Brainhack 2021. OHBM Brainhack 2021, Online, 16-18 June 2021. Organization for Human Brain Mapping. doi: 10.52294/258801b4-a9a9-4d30-a468-c43646391211

Evaluation of the REFILL dynamic distortion correction method for fMRI

Robinson, Simon, Bachrata, Beata, Eckstein, Korbinian, Dymerska, Barbara, Bollmann, Saskia, Bollmann, Steffen, Hodono, Shota, Cloos, Martijn, Tourell, Monique, Jin, Jin, O'Brien, Kieran, Reutens, David, Trattnig, Siegfried, Enzinger, Christian and Barth, Markus (2023). Evaluation of the REFILL dynamic distortion correction method for fMRI. Joint Annual Meeting ISMRM-ESMRMB ISMRT 31st Annual Meeting, London, United Kingdom, 7 - 12 May 2022. Berkeley, CA, United States: International Society for Magnetic Resonance in Medicine. doi: 10.58530/2022/2807

Isotropic QSM in seconds using super-resolution 2D EPI imaging in 3 orthogonal planes

Bachrata, Beata, Bollmann, Steffen, Grabner, Günther, Trattnig, Siegfried and Robinson, Simon (2023). Isotropic QSM in seconds using super-resolution 2D EPI imaging in 3 orthogonal planes. Concord, CA: ISMRM. doi: 10.58530/2022/2362

Open-Source Hypothalamic-ForniX (OSHy-X) Atlases and Segmentation Tool for 3T and 7T

Chang, Jeryn, Steyn, Frederik, Ngo, Shyuan, Henderson, Robert, Guo, Christine, Bollmann, Steffen, Fripp, Jurgen, Barth, Markus and Shaw, Thomas (2023). Open-Source Hypothalamic-ForniX (OSHy-X) Atlases and Segmentation Tool for 3T and 7T. Concord, CA: ISMRM. doi: 10.58530/2022/3808

Quantitative susceptibility mapping as an alternative to CT for localizing gold intraprostatic fiducial markers

Stewart, Ashley Wilton, Goodwin, Jonathan, Robinson, Simon Daniel, O’Brien, Kieran, Jin, Jin, Barth, Markus and Bollmann, Stefan (2022). Quantitative susceptibility mapping as an alternative to CT for localizing gold intraprostatic fiducial markers. ISMRM 2022, London, United Kingdom, 7-12 May 2022. Concord, CA USA: International Society for Magnetic Resonance in Medicine.

QSMxT: a fully automated, quantitative susceptibility mapping pipeline

Stewart, Ashley, Robinson, Simon Daniel, O’Brien, Kieran, Jin, Jin, Walls, Angela, Narayanan, Aswin, Barth, Markus and Bollman, Steffen (2021). QSMxT: a fully automated, quantitative susceptibility mapping pipeline. AusIron 2021, Brisbane, QLD Australia, 29 November 2021. Brisbane, QLD Australia: QIMR Berghofer Medical Research Institute.

QSM as an alternative to CT for localizing gold intraprostatic fiducial markers

Wilton Stewart, Ashley, Goodwin, Jonathan, Robinson, Simon Daniel, O’Brien, Kieran, Jin, Jin, Barth, Markus and Bollmann, Steffen (2021). QSM as an alternative to CT for localizing gold intraprostatic fiducial markers. 3rd Annual Meeting of the ISMRM ANZ Chapter, 2021, Online, 22-23 November 2021. International Society for Magnetic Resonance in Medicine ANZ Chapter.

QSMxT:a fully automated, quantitative susceptibility mapping pipeline

Stewart, Ashley Wilton, Robinson, Simon Daniel, O’Brien, Kieran, Jin, Jin, Walls, Angela, Narayanan, Aswin, Barth, Markus and Bollmann, Steffen (2021). QSMxT:a fully automated, quantitative susceptibility mapping pipeline. 3rd Annual Meeting of the ISMRM ANZ Chapter, 2021, Online, 22-23 November. International Society for Magnetic Resonance in Medicine ANZ Chapter.

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.

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.

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.

Contrast Matching of Ultra-High Resolution Minimum Deformation Averaged MRI Models to Facilitate Computation of a Multi-Modal Model of the Human Brain

J. 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.

Deep Mapping: Using deep convolutional neural networks to estimate quantitative T1 maps trained on a 7 T minimum deformation average model

Bollmann, 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.

Non-Linear Realignment Using Minimum Deformation Averaging for Single-Subject FMRI at Ultra-High Field

Saskia 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.

Signal Compartments Mapped from Multi-Echo Gradient Recalled Echo Data Vary across the Corpus Callosum

Kiran 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.

A 7T Human Brain Microstructure Atlas by Minimum Deformation Averaging at 300μm

Janke, Andrew L ., O'Brian, Kieran, Bollmann, Steffen, Kober, Tobias and Barth, Markus (2016). A 7T Human Brain Microstructure Atlas by Minimum Deformation Averaging at 300μm. International Society for Magnetic Resonance in Medicine, Singapore, 7-13 May 2016.

Contribution of cortical layer cytoarchitecture to quantitative susceptibility mapping

Sood, Surabhi, Urriola, Javier, Reutens, David C., Bollmann, Steffen, O'Brien, Kieran, Barth, Markus and Vegh, Viktor (2016). Contribution of cortical layer cytoarchitecture to quantitative susceptibility mapping. Organisation of the Human Brain Mapping, Geneva, Switzerland, 26-30 June, 2016.

Echo time based influences on quantitative susceptibility mapping

Sood, Surabhi, Urriola, Javier, Reutens, David C., Bollmann, Steffen, O'Brien, Kieran, Barth, Markus and Vegh, Viktor (2016). Echo time based influences on quantitative susceptibility mapping. International Symposium on Magnetic Resonance in Medicine, Singapore, May.

Selective combination of MRI phase images

Vegh, Viktor, O'Brien, Kieran, Reutens, David C., Bollmann, Steffen and Barth, Markus (2016). Selective combination of MRI phase images. International Symposium on Magnetic Resonance in Medicine, Singapore, 7-13 May, 2016.

When to perform channel combination in 7 Tesla quantitative susceptibility mapping?

Bollmann, Steffen, Zimmer, Fabian, O'Brien, Fabian, Vegh, Viktor and Barth, Markus (2015). When to perform channel combination in 7 Tesla quantitative susceptibility mapping?. Organization of the Human Brain Mapping, Hawaii Convention Centre, Honolulu, Hawaii, May.

A GPU-accelerated Performance Optimized RAP-MUSIC Algorithm for Real-Time Source Localization

Dinh, C., Ruehle, J., Bollmann, S., Haueisen, J. and Guellmar, D. (2012). A GPU-accelerated Performance Optimized RAP-MUSIC Algorithm for Real-Time Source Localization. BMT 2012 - 46th annual conference of the German Society for Biomedical Engineering, Jena, Germany, 16-19 September 2012. Berlin, Germany: Walter de Gruyter. doi: 10.1515/bmt-2012-4260

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 eds. (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.

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 eds. (2021). Robust masking techniques for multi-echo quantitative susceptibility mapping. ISMRM 2021, Online, 15-20 May 2021. Concord, CA USA: International Society for Magnetic Resonance in Medicine.

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 eds. (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 USA: International Society for Magnetic Resonance in Medicine.

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

Stewart, Ashley, O'Brien, Kieran, Kim, Jinsuh, Maréchal, Bénédicte, Nasrallah, Fatimah, Kean, Michael, Barth, Markus and Bollmann, Steffen eds. (2019). Quantitative susceptibility mapping for routine clinical use – an inline automated QSM reconstruction pipeline. ISMRM 2019, Montreal, Canada, 11-16 May, 2019. Concord, CA USA: International Society for Magnetic Resonance in Medicine.

GRE and QSM average 7T model

Bollmann, 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

MP2RAGE T1-weighted average 7T model

Bollmann, 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

Turbo Spin Echo average 7T model

Bollmann, 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