Author

Mike F. Schmidt

Columbia University Irving Medical CenterORCID 0000-0003-4721-1457Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Neuroscience· 2

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:benchmarking· 2 Assay:imaging· 1 Approach:simulation· 1 Approach:statistical model· 1

Frequent Co-Authors

David Beylin· 1 shared Elizabeth A. BartlettiD· 1 shared Francesca ZanderigoiD· 1 shared Gjertrud Louise LaurelliD· 1 shared Ilia Shkolnik· 1 shared J. John ManniD· 1 shared Jeffrey Morris MilleriD· 1 shared Sergey AnishchenkoiD· 1 shared

Activity by Year

2020-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperNeuroscience

David Beylin

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

NeurosciencebioRxivPreprintFeb 11, 2026

External validation and time-stability analysis of STARE, a blood-free quantification tool for irreversible PET tracers

Gjertrud Louise Laurell, Elizabeth A. Bartlett, Mike F. Schmidt…·Francesca Zanderigo

The paper validates STARE, a blood-free PET quantification tool, showing high correlation with standard methods and time-stability across different scanners.

DOI 10.64898/2026.02.09.704936

imagingstatistical model

𝕏 PostBluesky

NeuroscienceFrontiers in NeurosciencePeer-reviewedMay 8, 2020

Towards establishing internal validity for correlated gene expression measures in imaging genomics of functional networks: why distance corrections and external face validity alone fall short. Reply to "Distance is not everything in imaging genomics of functional networks: reply to a commentary on Correlated gene expression supports synchronous activity in brain networks"

Spiro P. Pantazatos, Mike F. Schmidt

The paper challenges a previous claim that correlated gene expression relates to resting state fMRI networks, showing the measure's false positive rate is driven by cluster size, not rsfMRI data.

2 citations

simulationbenchmarking

𝕏 PostBluesky