Author

Theodore Satterthwaite

Children's Hospital of Philadelphia

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Neuroscience· 1

Signature Assays, Organisms & Methods

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Research Focus:batch correction / integration· 1 Research Focus:benchmarking· 1 Assay:imaging· 1 Approach:statistical model· 1

Frequent Co-Authors

Alzheimer’s Disease Neuroimaging Initiative· 1 shared Andrew Chen· 1 shared Christos A. DavatzikosiD· 1 shared Fengling HuiD· 1 shared Haochang ShouiD· 1 shared Lori L. Beason‐HeldiD· 1 shared Noah HillmaniD· 1 shared Randa Melhem· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperNeuroscience

Alzheimer’s Disease Neuroimaging Initiative

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1 paper

Recent·Most cited

Imputation-Based Harmonization Mitigates Site Effects Without Data Leakage in Machine Learning Studies

Noah Hillman, Andrew Chen, Fengling Hu, Simon Vandekar, Randa Melhem, Lori L. Beason‐Held, Theodore Satterthwaite, Christos A. Davatzikos, Haochang Shou, Russell T. Shinohara, Alzheimer’s Disease Neuroimaging Initiative

The paper introduces MIRTH, an imputation-based harmonization method that mitigates site effects in neuroimaging data without data leakage, achieving high predictive accuracy in machine learning studies.

bioRxiv · Oct 5, 2026 · PreprintNeuroscience