TY  - JOUR
AU  - Giovannetti, Antonio
AU  - Susi, Gianluca
AU  - Casti, Paola
AU  - Mencattini, Arianna
AU  - Pusil Arce, Sandra Angélica
AU  - López García, María Eugenia
AU  - Di Natale, Corrado
AU  - Martinelli, Eugenio
PY  - 2021
DO  - 10.1007/s00521-021-06105-4
SN  - 0941-0643
UR  - https://hdl.handle.net/20.500.14352/116651
T2  - Neural Computing and Applications
AB  - In this paper, we present the novel Deep-MEG approach in which image-based representations of magnetoencephalography (MEG) data are combined with ensemble classifiers based on deep convolutional neural networks. For the scope of predicting the early...
LA  - eng
M2  - 14651
PB  - Springer
KW  - Alzheimer's
KW  - CNN
KW  - Functional connectivity
KW  - Deep Learning
KW  - Magnetoencephalography
TI  - Deep-MEG: spatiotemporal CNN features and multiband ensemble classification for predicting the early signs of Alzheimer’s disease with magnetoencephalography
TY  - journal article
VL  - 33
ER  -