Vendor-neutral sequences and fully transparent workflows improve inter-vendor reproducibility of quantitative MRI

Agah Karakuzu; Labonny Biswas; Julien Cohen-Adad; Nikola Stikov

doi:10.1101/2021.12.27.474259

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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

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ORCID record for Agah Karakuzu
For correspondence: agah.karakuzu@polymtl.ca

Labonny Biswas

3Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada

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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

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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

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Posted April 18, 2022.

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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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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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