Author

Max M. Owens

Peter Boris Centre for Addictions ResearchORCID 0000-0002-5560-4077Unclaimed 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 Approach:deep learning· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Alexandra PotteriD· 1 shared Alysha Cooper· 1 shared Anthony JulianoiD· 1 shared Dekang YuaniD· 1 shared Hugh GaravaniD· 1 shared James MacKillopiD· 1 shared Mahmoud ElsayediD· 1 shared Nicholas A. AllgaieriD· 1 shared

Activity by Year

2022-2025 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 18 mutual co-author links

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1 shared paperNeuroscience

Alexandra PotterORCID

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2 papers

Recent·Most cited

Deep learning using structural MRI massively improves prediction accuracy of body mass index

Alysha Cooper, Mahmoud Elsayed, Max M. Owens, James MacKillop

This study uses deep learning on structural MRI data to predict BMI more accurately than other machine learning methods in adults.

bioRxiv · Apr 11, 2025 · PreprintNeuroscience

Performance Scaling for Structural MRI Surface Parcellations: A Machine Learning Analysis in the ABCD Study

Sage Hahn, Max M. Owens, Dekang Yuan, Anthony Juliano, Alexandra Potter, Hugh Garavan, Nicholas A. Allgaier

This study examines how different brain parcellations affect predictive performance in machine learning models using structural MRI data from children.

Cerebral Cortex · Feb 8, 2022Peer-reviewedNeuroscience