Author:
Vall-llossera M. Torrecilla,Danilov V.,Tagliabue S.,Fischer J. B.,Fajardo C.,Maruccia F.,Rey-Perez A.,Báguena M.,Cano P.,Sahuquillo J.,Poca M. A.,Piella G.,Durduran T.
Abstract
A new hybrid convolutional and recurrent neural network model, trained on data acquired by fast diffuse correlation spectroscopy (DCS) from children and adults with different pathologies is proposed to estimate intracranial pressure from cerebral blood flow time-traces.