Author

Shammi More

Forschungszentrum JülichORCID 0000-0002-1272-217XUnclaimed 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· 2 Assay:imaging· 2 Research Focus:differential expression· 1 Research Focus:dimensionality reduction· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Felix HoffstaedteriD· 2 shared Georgios AntonopoulosiD· 2 shared Kaustubh R. PatiliD· 2 shared Simon Bodo EickhoffiD· 2 shared Federico RaimondoiD· 1 shared Julian CaspersiD· 1 shared the Alzheimer’s Disease Neuroimaging Initiative· 1 shared

Activity by Year

2023-2023 · peak 2/yr

Co-Author Collaboration Network

7 top collaborators · 19 mutual co-author links

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2 shared papersNeuroscience

Felix HoffstaedterORCID

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2 papers

Recent·Most cited

NeuroscienceNeuroImagePeer-reviewedAug 10, 2023

A systematic comparison of VBM pipelines and their application to age prediction

Georgios Antonopoulos, Shammi More, Federico Raimondo…·Kaustubh R. Patil

This study systematically compares five VBM pipelines for age prediction using three large datasets, finding significant differences in their ability to quantify GMV and predict age.

30 citationstop 4%

imagingstatistical model

NeuroscienceNeuroImagePeer-reviewedFeb 16, 2023

Brain-age prediction: a systematic comparison of machine learning workflows

Shammi More, Georgios Antonopoulos, Felix Hoffstaedter…·the Alzheimer’s Disease Neuroimaging Initiative

This paper compares 128 machine learning workflows for brain-age prediction using neuroimaging data, finding that feature representation and algorithm choice affect performance, and that brain-age delta correlates differently within-site and cross-site.

118 citationstop 1%

humanimaging