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Vendor-neutral sequences and fully transparent workflows improve inter-vendor reproducibility of quantitative MRI
View ORCID ProfileAgah Karakuzu, View ORCID ProfileLabonny Biswas, View ORCID ProfileJulien Cohen-Adad, View ORCID ProfileNikola Stikov
doi: https://doi.org/10.1101/2021.12.27.474259
Agah Karakuzu
1NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montréal, Montréal, QC, Canada
2Montréal Heart Institute, Montréal, QC, Canada
Labonny Biswas
3Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada
Julien Cohen-Adad
1NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montréal, Montréal, QC, Canada
4Functional Neuroimaging Unit, CRIUGM, Université de Montréal, Montréal, QC, Canada
5Mila - Quebec AI Institute, Montreal, QC, Canada
Nikola Stikov
1NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montréal, Montréal, QC, Canada
2Montréal Heart Institute, Montréal, QC, Canada
6Center for Advanced Interdisciplinary Research, Ss. Cyril and Methodius University, Skopje, North Macedonia
Posted April 18, 2022.
Vendor-neutral sequences and fully transparent workflows improve inter-vendor reproducibility of quantitative MRI
Agah Karakuzu, Labonny Biswas, Julien Cohen-Adad, Nikola Stikov
bioRxiv 2021.12.27.474259; doi: https://doi.org/10.1101/2021.12.27.474259
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