• 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 Gillis^1,2, Mohamed Dembele1, M. Clare O’Donoghue^1,2, Jasmine Blane^1,2, Robert Mitchell², Nicola Aikin^1,2, Karen Lindsay^1,2, Jon Campbell^1,2, Juliet Semple^1,2, Pieter M. Pretorius^1,3, Lola Martos^1,2, Vanessa Raymont^1,2, Clare E. Mackay¹, Ludovica Griffanti^1,2 - 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 Foster^1,2, 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 Stewart^1,2, Simon Robinson^3,4,5,6, Markus Barth^1,2,3, Steffen Bollmann^1,2,3 - 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 Moia^1,2, 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