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MRI Together

Global workshop on open, reproducible, and inclusive MR research

Accepted Abstracts

  • 1. File-tree: define the content of a structured directory for visual quality control or pipelines - Michiel Cottaar, Paul McCarthy - Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford

  • 2. Standardization of muscle MR imaging processing tools with the Muscle-BIDS format - Francesco Santini, Donnie Cameron, Leonardo Barzaghi, Judith Cueto Fernandez, Jilmen Quintiens, Hermien Kan, David Bendahan, Amira Trabelsi, John Thornton, Baris Kanber, Dimitrios Karampinos, Sarah Schlaeger, Arjun Desai, and Martijn Froeling - Basel Muscle MRI, Department of Biomedical Engineering, University of Basel, Basel, CH, C.J Gorter MRI Center, Department of Radiology, Leiden University Medical Center, Leiden, NL Istituto di Ricovero e Cura a Carattere Scientifico Mondino Foundation, Pavia, IT. Department of Biomechanical Engineering, Delft University of Technology, Delft, NL Skeletal Biology and Engineering Research Center, Katholieke Universiteit Leuven, Leuven, Belgium C.J Gorter MRI Center, Department of Radiology, Leiden University Medical Center, Leiden, NL AIx Marseille University, CNRS, CRMBM UMR 7339, Marseille Medical School, FR. University College London and University College London Hospitals NHS Foundation Trust, London, UK Department of Diagnostic and Interventional Radiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, DE Stanford University School of Medicine, Stanford, CA, USA University Medical Center Utrecht, Utrecht, NL

  • 3. CMRSim - A Python MRI Simulator - Jonathan Weine, Charles McGrath, Sebastian Kozerke - ETH Zürich

  • 4. Investigating the computational reproducibility of Neurodesk - Thanh Thuy Dao, Angela Renton, Aswin Narayanan, Markus Barth, Steffen Bollmann - School of Information Technology and Electrical Engineering (The University of Queensland)

  • 5. MRIpulseq: Learning MR sequence programming with Pulseq through simulation and measurement - Moritz Zaiss, Simon Weinmüller, Hoai Nam Dang, Jonathan Endres, Zhaoshun Hu, Lars Hanson, Felix Glang - Universitätsklinikum Erlangen FAU, FAU Erlangen-Nürnberg, Danish research centre for magnetic resonance, Max-Planck-Institute for Biological Cybernetics Tübingen

  • 6. Comparison of automated and manual quality measures for T1w brain MRI scans from clinical population - Gaurav Bhalerao1, Grace Gillis1,2, Mohamed Dembele1, M. Clare O’Donoghue1,2, Jasmine Blane1,2, Robert Mitchell2, Nicola Aikin1,2, Karen Lindsay1,2, Jon Campbell1,2, Juliet Semple1,2, Pieter M. Pretorius1,3, Lola Martos1,2, Vanessa Raymont1,2, Clare E. Mackay1, Ludovica Griffanti1,2 - 1University of Oxford, 2Oxford Health NHS Foundation Trust, Oxford, UK, 3Oxford University Hospitals NHS Trust, Oxford, UK

  • 7. fMRI of the Amygdala – shouldn’t we all be more in harmony? - Sheryl Foster1,2, Sarah Lewis1, Mayuresh Korgaonkar3 - 1Sydney School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW 2006, Australia. 2Department of Radiology, Westmead Hospital, Westmead, NSW 2145, Australia. 3Brain Dynamics Centre, The Westmead Institute for Medical Research, The University of Sydney, Westmead, NSW, Australia

  • 8. An open-source framework for predicting brain functional maps with geometric deep learning - Fernanda L. Ribeiro, Chaashya Fernando, Steffen Bollmann, Alexander M. Puckett - School of Information Technology and Electrical Engineering (ITEE), The University of Queensland; School of ITEE, The University of Queensland; School of ITEE, The University of Queensland; School of Psychology, The University of Queensland

  • 9. Open-Source MRI Tools for Research (ROMEO, CLEAR-SWI and MCPC-3D-S) - Korbinian Eckstein1, Ashley Stewart1,2, Simon Robinson3,4,5,6, Markus Barth1,2,3, Steffen Bollmann1,2,3 - 1School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, Queensland, Australia; 2ARC Training Centre for Innovation in Biomedical Imaging Technology, University of Queensland, Brisbane, Queensland, Australia; 3Centre for Advanced Imaging, University of Queensland, Brisbane, Australia; 4Department of Neurology, Medical University of Graz, Graz, Austria; 5Karl Landsteiner Institute for Clinical Molecular MR in Musculoskeletal Imaging, Vienna, Austria; 6Department of Biomedical Imaging and Image-Guided Therapy, High Field MR Center, Medical University of Vienna, Vienna, Austria

  • 10. K-band: a strategy for training deep-learning MRI reconstruction networks without fully sampled ground-truth data - Frederic Wang*, Han Qi*, Alfredo De Goyeneche, Michael Lustig, Efrat Shimron. - UC Berkeley, *Equal contribution, alphabetical order

  • 11. QSMxT: An Automated, Scalable, and Graphical Pipeline for Reproducible Quantitative Susceptibility Mapping - Ashley Stewart1, Korbinian Eckstein1, Thuy Thanh1, Campbell Timm1, Kieran O’Brien2, Jin Jin2, Markus Barth1, Steffen Bollmann1 - 1School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, Australia; 2Siemens Healthineers Pty Ltd., Brisbane, Australia

  • 12. Towards Clinical DECOMPOSE - Patrick Fuchs1, Jingjia Chen2, Chunlei Liu3, Karin Shmueli1 - 1University College London, Medical Physics and Biomedical Engineering; 2University of California, Berkeley, Electrical Engineering and Computer Science; 3University of California, Berkeley, Electrical Engineering and Computer Science

  • 13. Physiopy: A community-driven suite of tools for physiological recordings in neuroimaging - Stefano Moia1,2, Joana Pinto3, Daniel Alcalà4, Apoorva Ayyagari5, Katherine L. Bottenhorn6, Molly G. Bright5, Inés Chavarria7, Niall Duncan8, Elizabeth DuPre9, Inês Esteves10, Vicente Ferrer7, César Caballero Gaudes7, Sarah Goodale11, Soichi Hayashi12, Vittorio Iacovella13, Tomas Lenc14, François Lespinasse15, Ross Markello16, Mary Miedema17, Robert Oostenveld1819, David Romero-Bascones20, Taylor Salo21, Rachael Stickland22, Eneko Uruñuela7, Hao-Ting Wang23, Kristina Zvolanek5, Marcel Zwiers18, The physiopy community. - 1Neuro-X Institute, Ecole polytechnique fédérale de Lausanne, Geneva, Switzerland, 2Department of Radiology and Medical Informatics (DRIM), Faculty of Medicine, University of Geneva, Geneva, Switzerland,3Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, United Kingdom, 4Medica Scientia Innovation Research, Barcelona, Spain, 5Physical Therapy and Human Movement Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL USA, 6Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA, 7Basque Center on Cognition, Brain, and Language, Donostia, Spain, 8Graduate Institute of Mind, Brain and Consciousness, Taipei Medical University, Taipei, Taiwan, 9Stanford University, Stanford, CA, USA, 10Institute for Systems and Robotics, Técnico Lisboa, Lisbon, Portugal, 11Department of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, USA, 12Indiana University Bloomington, Bloomington, IN, USA, 13The University of Trento, Trento, Italy, 14Institute of Neuroscience, Université Catholique de Louvain, Brussels, Belgium, 15Université de Montréal, Montréal, QC, Canada, 16Komodo Health, Redwood City, CA, USA, 17McGill University, Montréal, QC, Canada, 18Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, the Netherlands, 19NatMEG, Karolinska Institutet, Stockholm, Sweden, 20Mondragon Unibertsitatea, Mondragón, Spain, 21Department of Psychology, Florida International University, Miami, FL, USA, 22The Alan Turing Institute, London, UK, 23Centre de recherche de l’institut Universitaire de gériatrie de Montréal (CRIUGM), Montréal, Québec, Canada