activity
20202026
most citedLearning spatiotemporal features from incomplete data for traffic flow prediction using hybrid deep neural networks

2 citations · 3 across the 8 of their papers we have counts for

collaborators
Showing eess.IVShow all

1 paper · 1 filter

eess.IV2023

Deep Learning-Based Assessment of Cerebral Microbleeds in COVID-19

Neus Rodeja Ferrer, Malini Vendela Sagar, Kiril Vadimovic Klein +3

Cerebral Microbleeds (CMBs), typically captured as hypointensities from susceptibility-weighted imaging (SWI), are particularly important for the study of dementia, cerebrovascular…