Author

J. Eric Schmitt

Children's Hospital of PhiladelphiaORCID 0000-0002-7487-227XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 2

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Organism:human· 2 Assay:imaging· 2 Research Focus:database / resource· 1 Approach:experimental assay· 1 Approach:statistical model· 1

Frequent Co-Authors

David R. RoalfiD· 2 shared Raquel E. GuriD· 2 shared Theodore Daniel SatterthwaiteiD· 2 shared Aaron F. Alexander‐BlochiD· 1 shared Adon F.G. RoseniD· 1 shared Ángel García de la GarzaiD· 1 shared Arastoo VossoughiD· 1 shared Ayan S. MandaliD· 1 shared

Activity by Year

2017-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersNeuroscience

David R. RoalfORCID

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2 papers

Recent·Most cited

A systematic protocol to identify 'clinical controls' for pediatric neuroimaging research from clinically acquired brain MRIs

Dabriel Zimmerman, Ayan S. Mandal, Benjamin Jung, Matthew J. Buczek, Jenna Schabdach, Shivaram Karandikar, Eren Kafadar, Laura Mercedes, Sepp Kohler, Leila Abdel-Qader, Raquel E. Gur, David R. Roalf, Theodore Daniel Satterthwaite, J. Eric Schmitt, Remo Williams, , Aaron F. Alexander‐Bloch

bioRxiv · Jun 25, 2025 · PreprintNeuroscience

Data-driven Assessment of Structural Image Quality

Adon F.G. Rosen, David R. Roalf, Kosha Ruparel, Jason A. Blake, Kevin Seelaus, Lakshmi P. Villa, Rastko Ćirić, Philip A. Cook, Christos A. Davatzikos, Mark A. Elliott, Ángel García de la Garza, Efstathios D. Gennatas, Megan Quarmley, J. Eric Schmitt, Russell Taki Shinohara, , Theodore Daniel Satterthwaite

The paper develops an automated method to assess structural brain image quality using Euler number and validates its effectiveness in identifying low-quality images and its relationship with cortical thickness and age-related associations.

NeuroImage · Dec 24, 2017Peer-reviewedNeuroscience