Author

the NAIMS Cooperative

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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Neuroscience· 2

Signature Assays, Organisms & Methods

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Organism:human· 2 Assay:imaging· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1

Frequent Co-Authors

Daniel S. ReichiD· 2 shared Govind NairiD· 2 shared Peter A. CalabresiiD· 2 shared Rohit BakshiiD· 2 shared Russell Taki ShinoharaiD· 2 shared Amit Bar‐OriD· 1 shared Anna L. DuValiD· 1 shared Blake E. DeweyiD· 1 shared

Activity by Year

2018-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersNeuroscience

Daniel S. ReichORCID

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2 papers

Recent·Most cited

NeurosciencebioRxivPreprintMay 5, 2022

Inter-scanner brain MRI volumetric biases persist even in a harmonized multi-subject study of multiple sclerosis

Kelly A. Clark, Carly M. O’Donnell, Mark A. Elliott…·the NAIMS Cooperative

This study shows that brain MRI volumetric biases persist across different scanners in a harmonized MS study, with site explaining over 50% of volume variation.

3 citations

humanimaging

𝕏 PostBluesky

NeuroscienceAmerican Journal of NeuroradiologyPeer-reviewedFeb 22, 2018

An automated statistical technique for counting distinct multiple sclerosis lesions can recover aspects of lesion history and provide relevant disease information

Jordan D. Dworkin, Kristin A. Linn, İpek Oğuz…·the NAIMS Cooperative

The paper introduces a statistical technique to count distinct multiple sclerosis lesions from MRI data, showing it correlates with gold-standard counts and provides disease-related insights.

39 citations

humanimaging

𝕏 PostBluesky