Neural Network-derived perfusion maps: A Model-free approach to computed tomography perfusion

A Convolutional Neural Network (CNN) can generate clinically relevant parametric maps from CT perfusion data in a clinical setting of patients with acute ischemic stroke.

Data and Resources

Cite this as

Umberto A. Gava, Federico D’Agata, Enzo Tartaglione, Marco Granetto, Francesca Bertolino, Ambra Santonico, Edwin Bennink, Mauro Bergui (2024). Dataset: Neural Network-derived perfusion maps: A Model-free approach to computed tomography perfusion. https://doi.org/10.57702/blogj4d5

DOI retrieved: December 16, 2024

Additional Info

Field Value
Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.48550/arXiv.2101.05992
Author Umberto A. Gava
More Authors
Federico D’Agata
Enzo Tartaglione
Marco Granetto
Francesca Bertolino
Ambra Santonico
Edwin Bennink
Mauro Bergui
Homepage https://doi.org/10.1101/jci.csi.123456