Author

Soren J. Madsen

Stanford Medicine

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

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Neuroscience· 1

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

Amy F. KuceyeskiiD· 1 shared Damien A. FairiD· 1 shared Deanna M. BarchiD· 1 shared Ian H. GotlibiD· 1 shared Jeanette A. MumfordiD· 1 shared Lucina Q. UddiniD· 1 shared Manish SaggariD· 1 shared Russell Alan PoldrackiD· 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

Amy F. KuceyeskiORCID

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1 paper

Recent·Most cited

Efficient Deep Learning Models for Predicting Individualized Task Activation from Resting-State Functional Connectivity

Soren J. Madsen, Young-Eun Lee, Shaun K.L. Quah, Lucina Q. Uddin, Jeanette A. Mumford, Deanna M. Barch, Damien A. Fair, Ian H. Gotlib, Russell Alan Poldrack, Amy F. Kuceyeski, Manish Saggar

This study evaluates deep learning models for predicting task activation from resting-state fMRI, finding that architectural changes improve efficiency without sacrificing accuracy.

Human Brain Mapping · Jun 15, 2026Peer-reviewedNeuroscience