Author

Paulo Rodrigues

ORCID 0000-0002-2102-1746Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 3 Approach:statistical model· 3 Organism:human· 2 Assay:multiome· 2 Approach:benchmark study· 1 Assay:imaging· 1 Organism:mouse· 1 Organism:non-human primate· 1

Frequent Co-Authors

Alexander LeemansiD· 3 shared Bennett A. LandmaniD· 3 shared Kurt G. SchillingiD· 3 shared Alberto De LucaiD· 2 shared Alessandro DaducciiD· 2 shared Dogu Baran AydoganiD· 2 shared Gabriel GirardiD· 2 shared Jean‐Philippe ThiraniD· 2 shared

Activity by Year

2019-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersNeuroscience

Alexander LeemansORCID

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3 papers

Recent·Most cited

Insights from the IronTract challenge: optimal methods for mapping brain pathways from multi-shell diffusion MRI

Chiara Maffei, Gabriel Girard, Kurt G. Schilling, Dogu Baran Aydogan, Nagesh Adluru, Andrey Zhylka, Ye Wu, Matteo Mancini, Andaç Hamamcı, Alessia Sarica, Achille Teillac, Steven H. Baete, Davood Karimi, Fang-Cheng F. Yeh, Mert E. Yildiz, , Anastasia Yendiki

The paper evaluates tractography methods using a macaque dataset to determine optimal approaches for mapping brain pathways from multi-shell diffusion MRI.

NeuroImage · May 26, 2022Peer-reviewedNeuroscience

On the generalizability of diffusion MRI signal representations across acquisition parameters, sequences and tissue types: chronicles of the MEMENTO challenge.

Alberto De Luca, Andrada Ianuș, Alexander Leemans, Marco Palombo, Noam Shemesh, Hui Gary Zhang, Daniel C. Alexander, Markus Nilsson, Martijn Froeling, Geert Jan Biessels, Mauro Zucchelli, Matteo Frigo, Enes Albay, Sara Sedlar, Abib Alimi, , Kurt G. Schilling

NeuroImage · Jul 6, 2021Peer-reviewedNeuroscience

Tractography Reproducibility Challenge with Empirical Data (TraCED): The 2017 ISMRM Diffusion Study Group Challenge

Vishwesh Nath, Kurt G. Schilling, Prasanna Parvathaneni, Yuankai Huo, Justin A. Blaber, Allison E. Hainline, Muhamed Baraković, David Romascano, Jonathan Rafael‐Patiño, Matteo Frigo, Gabriel Girard, Jean‐Philippe Thiran, Alessandro Daducci, Matt Rowe, Paulo Rodrigues, , Bennett A. Landman

The paper evaluates tractography reproducibility using empirical data from a single healthy volunteer scanned on two scanners, finding high consistency among top algorithms but variability due to tract volume containment.

Journal of Magnetic Resonance Imaging · Jun 9, 2019Peer-reviewedNeuroscience