Papers: 10.1371/journal.pone.0232296

https://doi.org/10.1371/journal.pone.0232296

Interpretable brain age prediction using linear latent variable models of functional connectivity

Cited by: 10
Author(s): Ricardo Pio Monti, Alex Gibberd, Sandipan Roy, Matthew Nunes, Romy Lorenz, Robert Leech, Takeshi Ogawa, Motoaki Kawanabe, Aapo Hyvärinen
Published: over 6 years ago

Software Mentions 2

pypi: nilearn
Statistical learning for neuroimaging in Python
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Very Likely Science (90)
pypi: PACE
Data Quality of Experimental Data
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