Different scaling of linear models and deep learning in UKBiobank brain images versus machine-learning datasets
2020 · Nature Communications · 291 citations
https://doi.org/10.1038/s41467-020-18037-z
M
Marc-André Schulz
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9
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Marc-André Schulz is an academic researcher from Humboldt-Universität zu Berlin. The author has contributed to research in topics: Functional Brain Connectivity Studies & Machine Learning in Healthcare & Explainable Artificial Intelligence (XAI). The author has an h-index of 9, co-authored 24 publications.
ORCID: 0000-0002-1140-1841Papers by this author
worksPerformance reserves in brain-imaging-based phenotype prediction
2023 · Cell Reports · 48 citations
https://doi.org/10.1016/j.celrep.2023.113597
Inferring disease subtypes from clusters in explanation space
2020 · Scientific Reports · 29 citations
https://doi.org/10.1038/s41598-020-68858-7
A cognitive fingerprint in human random number generation
2021 · Scientific Reports · 13 citations
https://doi.org/10.1038/s41598-021-98315-y
Similar neural pathways link psychological stress and brain-age in health and multiple sclerosis
2023 · iScience · 8 citations
https://doi.org/10.1016/j.isci.2023.107679
Neuroimaging: Die neue Bescheidenheit
2026 · Nervenheilkunde · 0 citations
https://doi.org/10.1055/a-2727-8503
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