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2025 Journal Article Grey matter volume differences across Parkinson's disease motor subtypes in the supplementary motor cortexMartin, A., Nassif, J., Chaluvadi, L., Schammel, C., Newman-Norlund, R., Bollmann, S. and Absher, J. (2025). Grey matter volume differences across Parkinson's disease motor subtypes in the supplementary motor cortex. NeuroImage: Clinical, 45 103724, 103724. doi: 10.1016/j.nicl.2024.103724 |
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2024 Journal Article VesselBoost: a Python toolbox for small blood vessel segmentation in human magnetic resonance angiography dataXu, Marshall, Ribeiro, Fernanda L., Barth, Markus, Bernier, Michaël, Bollmann, Steffen, Chatterjee, Soumick, Cognolato, Francesco, Gulban, Omer F., Itkyal, Vaibhavi, Liu, Siyu, Mattern, Hendrik, Polimeni, Jonathan R., Shaw, Thomas B., Speck, Oliver and Bollmann, Saskia (2024). VesselBoost: a Python toolbox for small blood vessel segmentation in human magnetic resonance angiography data. Aperture Neuro, 4, 1-13. doi: 10.52294/001c.123217 |
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2024 Journal Article Three-dimensional EPI with shot-selective CAIPIRIHANA for rapid high-resolution quantitative susceptibility mapping at 3 TTourell, Monique, Jin, Jin, Bachrata, Beata, Stewart, Ashley, Ropele, Stefan, Enzinger, Christian, Bollmann, Saskia, Bollmann, Steffen, Robinson, Simon Daniel, O'Brien, Kieran and Barth, Markus (2024). Three-dimensional EPI with shot-selective CAIPIRIHANA for rapid high-resolution quantitative susceptibility mapping at 3 T. Magnetic Resonance in Medicine, 92 (3), 997-1010. doi: 10.1002/mrm.30101 |
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2024 Journal Article Large‐scale analysis of structural brain asymmetries during neurodevelopment: associations with age and sex in 4265 children and adolescentsKurth, F., Schijven, D., van den Heuvel, O. A., Hoogman, M., van Rooij, D., Stein, D. J., Buitelaar, J. K., Bölte, S., Auzias, G., Kushki, A., Venkatasubramanian, G., Rubia, K., Bollmann, S., Isaksson, J., Jaspers‐Fayer, F., Marsh, R., Batistuzzo, M. C., Arnold, P. D., Bressan, R. A., Stewart, S. E., Gruner, P., Sorensen, L., Pan, P. M., Silk, T. J., Gur, R. C., Cubillo, A. I., Haavik, J., O'Gorman Tuura, R. L., Hartman, C. A. ... Luders, E. (2024). Large‐scale analysis of structural brain asymmetries during neurodevelopment: associations with age and sex in 4265 children and adolescents. Human Brain Mapping, 45 (11) e26754. doi: 10.1002/hbm.26754 |
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2024 Journal Article Author Correction: brainlife.io: a decentralized and open-source cloud platform to support neuroscience researchHayashi, Soichi, Caron, Bradley A., Heinsfeld, Anibal Sólon, Vinci-Booher, Sophia, McPherson, Brent, Bullock, Daniel N., Bertò, Giulia, Niso, Guiomar, Hanekamp, Sandra, Levitas, Daniel, Ray, Kimberly, MacKenzie, Anne, Avesani, Paolo, Kitchell, Lindsey, Leong, Josiah K., Nascimento-Silva, Filipi, Koudoro, Serge, Willis, Hanna, Jolly, Jasleen K., Pisner, Derek, Zuidema, Taylor R., Kurzawski, Jan W., Mikellidou, Kyriaki, Bussalb, Aurore, Chaumon, Maximilien, George, Nathalie, Rorden, Christopher, Victory, Conner, Bhatia, Dheeraj ... Pestilli, Franco (2024). Author Correction: brainlife.io: a decentralized and open-source cloud platform to support neuroscience research. Nature Methods, 21 (6), 1131-1131. doi: 10.1038/s41592-024-02296-5 |
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2024 Journal Article Neurodesk: an accessible, flexible and portable data analysis environment for reproducible neuroimagingRenton, Angela I., Dao, Thuy T., Johnstone, Tom, Civier, Oren, Sullivan, Ryan P., White, David J., Lyons, Paris, Slade, Benjamin M., Abbott, David F., Amos, Toluwani J., Bollmann, Saskia, Botting, Andy, Campbell, Megan E. J., Chang, Jeryn, Close, Thomas G., Dörig, Monika, Eckstein, Korbinian, Egan, Gary F., Evas, Stefanie, Flandin, Guillaume, Garner, Kelly G., Garrido, Marta I., Ghosh, Satrajit S., Grignard, Martin, Halchenko, Yaroslav O., Hannan, Anthony J., Heinsfeld, Anibal S., Huber, Laurentius, Hughes, Matthew E. ... Bollmann, Steffen (2024). Neurodesk: an accessible, flexible and portable data analysis environment for reproducible neuroimaging. Nature Methods, 21 (2), 804-808. doi: 10.1038/s41592-023-02145-x |
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2024 Journal Article brainlife.io: a decentralized and open-source cloud platform to support neuroscience researchHayashi, Soichi, Caron, Bradley A., Heinsfeld, Anibal Sólon, Vinci-Booher, Sophia, McPherson, Brent, Bullock, Daniel N., Bertò, Giulia, Niso, Guiomar, Hanekamp, Sandra, Levitas, Daniel, Ray, Kimberly, MacKenzie, Anne, Avesani, Paolo, Kitchell, Lindsey, Leong, Josiah K., Nascimento-Silva, Filipi, Koudoro, Serge, Willis, Hanna, Jolly, Jasleen K., Pisner, Derek, Zuidema, Taylor R., Kurzawski, Jan W., Mikellidou, Kyriaki, Bussalb, Aurore, Chaumon, Maximilien, George, Nathalie, Rorden, Christopher, Victory, Conner, Bhatia, Dheeraj ... Pestilli, Franco (2024). brainlife.io: a decentralized and open-source cloud platform to support neuroscience research. Nature Methods, 21 (5), 809-813. doi: 10.1038/s41592-024-02237-2 |
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2024 Journal Article Adiposity associates with lower plasma resolvin E1 (Rve1): a population studyBarden, Anne, Shinde, Sujata, Beilin, Lawrence J., Phillips, Michael, Adams, Leon, Bollmann, Steffen and Mori, Trevor A. (2024). Adiposity associates with lower plasma resolvin E1 (Rve1): a population study. International Journal of Obesity, 48 (5), 725-732. doi: 10.1038/s41366-024-01482-x |
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2024 Journal Article Improving quantitative susceptibility mapping for the identification of traumatic brain injury neurodegeneration at the individual levelDomínguez D, Juan F, Stewart, Ashley, Burmester, Alex, Akhlaghi, Hamed, O'Brien, Kieran, Bollmann, Steffen and Caeyenberghs, Karen (2024). Improving quantitative susceptibility mapping for the identification of traumatic brain injury neurodegeneration at the individual level. Zeitschrift für Medizinische Physik. doi: 10.1016/j.zemedi.2024.01.001 |
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2023 Journal Article Super-resolution QSM in little or No Additional Time for Imaging (NATIve) using 2D EPI imaging in 3 orthogonal planesBachrata, Beata, Bollmann, Steffen, Jin, Jin, Tourell, Monique, Dal-Bianco, Assunta, Trattnig, Siegfried, Barth, Markus, Ropele, Stefan, Enzinger, Christian and Robinson, Simon Daniel (2023). Super-resolution QSM in little or No Additional Time for Imaging (NATIve) using 2D EPI imaging in 3 orthogonal planes. NeuroImage, 283 120419, 1-17. doi: 10.1016/j.neuroimage.2023.120419 |
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2023 Journal Article Improved dynamic distortion correction for fMRI using single‐echo EPI and a readout‐reversed first image (REFILL)Robinson, Simon Daniel, Bachrata, Beata, Eckstein, Korbinian, Bollmann, Saskia, Bollmann, Steffen, Dymerska, Barbara, 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 |
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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 Journal Article Variability of visual field maps in human early extrastriate cortex challenges the canonical model of organization of V2 and V3Ribeiro, 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, 12. doi: 10.7554/elife.86439 |
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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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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 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 |
