Reproducibility of findings in modern PET neuroimaging: insight from the NRM2018 grand challenge

Veronese, M., Rizzo, G., Belzunce, M., Schubert, J., Searle, G., Whittington, A., Mansur, A., Dunn, J., Reader, A., & Gunn, R. N. (2021). Reproducibility of findings in modern PET neuroimaging: insight from the NRM2018 grand challenge. Journal of Cerebral Blood Flow & Metabolism, 41(10), 2778–2796. https://doi.org/10.1177/0271678x211015101
Authors:
Mattia Veronese
Gaia Rizzo
Martin Belzunce
Julia Schubert
Graham Searle
Alex Whittington
Ayla Mansur
Joel Dunn
Andrew Reader
Roger N Gunn
Daniel S. Albrecht
Joseph B Mandeville
Christin Y Sander
Julie Price
Michael A. Levine
Michael Rullmann
Georg Alexander Becker
Henryk Barthel
Swen Hesse
Bernhard Sattler
Osama Sabri
Francesca Zanderigo
Harry Rubin-Falcone
Todd Ogden
Jarkko Johansson
Lars Jonasson
Filip Grill
Nina Karalija
Anna Rieckmann
Ronald Boellaard
Sandeep Golla
Maqsood Yaqub
Kjell Erlandsson
Benjamin A. Thomas
Stefanie D. Kr€amer
Lucas Narciso Lawson
Udunna Anazodo Lawson
Martin Norgaard
Melanie Ganz
Martin Schain
Claus Svarer
Hanne D. Hansen
Gitte M. Knudsen
Christopher T. Smith
My Jonasson
Mark Lubberink
Matteo Tonietto
Affiliated Authors:
Francesca Zanderigo
Harry Rubin-Falcone
Todd Ogden
Columbia Affiliation:
Author Keywords:
data analysis
data sharing
pet
reproducibility crisis
“nrm2018 pet grand challenge”
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Publication Type:
Article
Unique ID:
10.1177/0271678X211015101
PMID:
33993794
DOI:
10.1177/0271678X211015101
Journal:
Journal of Cerebral Blood Flow and Metabolism
Publication Date:
Data Source:
Scopus
Source Link:
View Scopus Record

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