A DL model pre-trained on the Human Connectome Project dataset achieves 67.51% accuracy decoding cognitive states from a new fMRI task after fine-tuning on data from only three subjects.
Nature Communications 10, 1096 (2019)
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.IV 1years
2019 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Deep Transfer Learning For Whole-Brain fMRI Analyses
A DL model pre-trained on the Human Connectome Project dataset achieves 67.51% accuracy decoding cognitive states from a new fMRI task after fine-tuning on data from only three subjects.