Author

Thomas Maullin-Sapey

University of OxfordORCID 0000-0002-1890-330XUnclaimed 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 Approach:statistical model· 2 Approach:experimental assay· 1 Assay:imaging· 1

Frequent Co-Authors

Thomas E. NicholsiD· 2 shared Harshvardhan GazulaiD· 1 shared Javier Tomas Romero· 1 shared Rajikha RajaiD· 1 shared Sandeep R. PantaiD· 1 shared Sunitha BasodiiD· 1 shared Vince D. CalhouniD· 1 shared

Activity by Year

2022-2024 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 21 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

2 shared papersNeuroscience

Thomas E. NicholsORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

NeuroscienceNeuroinformaticsPeer-reviewedMar 1, 2024

Decentralized Mixed Effects Modeling in COINSTAC

Sunitha Basodi, Rajikha Raja, Harshvardhan Gazula…·Vince D. Calhoun

This paper introduces a decentralized linear mixed-effects model for neuroimaging analysis, enabling large-scale collaboration without data pooling, and shows it achieves similar performance to centralized models.

3 citations

imagingstatistical model

𝕏 PostBluesky

NeuroscienceNeuroImagePeer-reviewedNov 3, 2022

BLMM: Parallelised Computing for Big Linear Mixed Models

Thomas Maullin-Sapey, Thomas E. Nichols

BLMM addresses scalability and missing data issues in large-scale fMRI analyses using a parallelized linear mixed models approach.

8 citations

statistical modelbenchmarking

𝕏 PostBluesky