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2023 Journal Article Deep learning based modelling of three-dimensional magnetic fieldNguyen, 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 |
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2022 Journal Article Spikes with and without concurrent high-frequency oscillations: topographic relationship and neural correlates using EEG-fMRIUrriola, 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 |
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2022 Journal Article Efficient modelling of permanent magnet field distribution for deep learning applicationsNguyen, 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 |
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2022 Journal Article Open-Source Hypothalamic-ForniX (OSHy-X) Atlases and Segmentation Tool for 3T and 7TChang, 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 |
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2022 Journal Article Deep learning–based quantitative susceptibility mapping (QSM) in the presence of fat using synthetically generated multi-echo phase training dataHanspach, 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 |
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2021 Journal Article Predictive selection rule of favourable image processing methods for X-ray micro-computed tomography images of tabletsBollmann, Sebastian and Kleinebudde, Peter (2021). Predictive selection rule of favourable image processing methods for X-ray micro-computed tomography images of tablets. International Journal of Pharmaceutics, 610 121207, 1-15. doi: 10.1016/j.ijpharm.2021.121207 |
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2021 Journal Article Predicting the retinotopic organization of human visual cortex from anatomy using geometric deep learningRibeiro, 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 |
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2021 Journal Article QSMxT: Robust masking and artifact reduction for quantitative susceptibility mappingStewart, 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 |
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2021 Journal Article Centering inclusivity in the design of online conferences—An OHBM–Open Science perspectiveLevitis, 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 |
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2021 Journal Article Deep learning in magnetic resonance image reconstructionChandra, 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 |
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2021 Journal Article Brainhack: Developing a culture of open, inclusive, community-driven neuroscienceGau, 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 |
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2021 Journal Article Improving FLAIR SAR efficiency at 7T by adaptive tailoring of adiabatic pulse power through deep learning estimationAbbasi‐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 |
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2020 Journal Article MRI phase offset correction method impacts quantitative susceptibility mappingAbdulla, 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 |
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2020 Journal Article Longitudinal Automatic Segmentation of Hippocampal Subfields (LASHiS) using multi-contrast MRIShaw, 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 |
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2020 Journal Article Towards optimising MRI characterisation of Tissue (TOMCAT) dataset including all Longitudinal Automatic Segmentation of Hippocampal Subfields (LASHiS) dataShaw, 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 |
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2020 Journal Article Influence of 7T GRE-MRI signal compartment model choice on tissue parametersThapaliya, 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 |
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2020 Journal Article Overview of quantitative susceptibility mapping using deep learning: current status, challenges and opportunitiesJung, 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 |
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2020 Journal Article Functional connectivity of the irritative zone identified by electrical source imaging, and EEG-correlated fMRI analysesUrriola, 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 |
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2019 Journal Article Non-linear realignment improves hippocampus subfield segmentation reliabilityShaw, 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 |
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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 |
