Multimodal and multicontrast image fusion via deep generative models

•Deep learning architecture for neuroimaging reconstruction.•Efficient convolutional neural networks based on separable convolutions.•Multimodality learning and interpretability of latent embeddings.•Clustering individuals phenotypes with structural multimodal brain features. Recently, it has become...

Celý popis

Podrobná bibliografia

Vydané v:	Information fusion Ročník 88; s. 146 - 160
Hlavní autori:	Dimitri, Giovanna Maria, Spasov, Simeon, Duggento, Andrea, Passamonti, Luca, Lió, Pietro, Toschi, Nicola
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.12.2022
Predmet:	Deep autoencoder Latent embeddings Multimodal neuroimaging Phenotype stratification Precision medicine Separable Convolutions Precision medicine Separable Convolutions Latent embeddings Multimodal neuroimaging Deep autoencoder Phenotype stratification
ISSN:	1566-2535, 1872-6305
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!