Author

Çağatay Elik

Otto-von-Guericke University MagdeburgORCID 0000-0003-4437-0540Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Organism:human· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Barış AkariD· 1 shared Tuğba AltıntaşiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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2 top collaborators · 1 mutual co-author link

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1 shared paperNeuroscience

Barış AkarORCID

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1 paper

Recent·Most cited

NeurosciencebioRxivPreprintNov 2, 2026

How Well Does Structural MRI Classify Autism? A Leakage-Free, Site-Aware and Externally Validated Machine-Learning Evaluation in Two ABIDE Cohorts

Barış Akar, Çağatay Elik, Tuğba Altıntaş

This paper evaluates the accuracy of structural MRI in classifying autism using leakage-free, site-aware, and externally validated machine learning methods across two ABIDE cohorts, finding modest performance.

DOI 10.64898/2026.10.31.763319

humanimaging

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