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2023 Journal Article Variability of visual field maps in human early extrastriate cortex challenges the canonical model of organization of V2 and V3Lenita 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 |
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2023 Conference Publication Investigating the computational reproducibility of NeurodeskDao, Thuy, Renton, Angela, Narayanan, Aswin, Barth, Markus and Bollmann, Steffen (2023). Investigating the computational reproducibility of Neurodesk. International Society for Magnetic Resonance in Medicine, Toronto, ON, Canada, 3-8 June 2023. |
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2023 Conference Publication Proceedings of the OHBM Brainhack 2021Nikolaidis, 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 |
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2023 Journal Article NeXtQSM—A complete deep learning pipeline for data-consistent Quantitative Susceptibility Mapping trained with hybrid dataCognolato, 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, 102700. doi: 10.1016/j.media.2022.102700 |
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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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2023 Conference Publication Evaluation of the REFILL dynamic distortion correction method for fMRIRobinson, 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 |
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2023 Conference Publication Isotropic QSM in seconds using super-resolution 2D EPI imaging in 3 orthogonal planesBachrata, 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. Joint Annual Meeting ISMRM-ESMRMB & ISMRT 31st Annual Meeting, London, United Kingdom, 7-12 May 2022. Concord, CA United States: International Society for Magnetic Resonance in Medicine. doi: 10.58530/2022/2362 |
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2023 Conference Publication 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 (2023). Open-Source Hypothalamic-ForniX (OSHy-X) Atlases and Segmentation Tool for 3T and 7T. Joint Annual Meeting ISMRM-ESMRMB & ISMRT 31st Annual Meeting, London, United Kingdom, 7-12 May 2022. Concord, CA United States: International Society for Magnetic Resonance in Medicine. doi: 10.58530/2022/3808 |
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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 Conference Publication Investigating the computational reproducibility of NeurodeskDao, Thuy, Renton, Angela, Narayanan, Aswin, Barth, Markus and Bollmann, Steffen (2022). Investigating the computational reproducibility of Neurodesk. International Society for Magnetic Resonance in Medicine ANZ Chapter, Sydney, NSW, Australia, 12-13 November 2022. |
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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 Conference Publication Quantitative susceptibility mapping as an alternative to CT for localizing gold intraprostatic fiducial markersStewart, 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. |
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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 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 Conference Publication QSMxT: a fully automated, quantitative susceptibility mapping pipelineStewart, 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. |
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2021 Conference Publication QSM as an alternative to CT for localizing gold intraprostatic fiducial markersWilton 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. |
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2021 Conference Publication QSMxT:a fully automated, quantitative susceptibility mapping pipelineStewart, 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. |
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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 |
