Work

Multimodal and multicontrast image fusion via deep generative models

Year: 2022

Type: article

Source: Information Fusion

DOI: 10.1016/j.inffus.2022.07.017

Authors: Giovanna Maria Dimitri, Simeon Spasov, Andrea Duggento, Luca Passamonti, Pietro Lió, Nicola Toschi

Institutions: University of Siena, University of Cambridge, University of Rome Tor Vergata, Institute of Molecular Bioimaging and Physiology, National Research Council, Harvard University, Massachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging

Language: English

Topic: Advanced Image Fusion Techniques

Subfield: Media Technology

Field: Engineering

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

Funders: Nvidia, European Commission, Medical Research Council, Engineering and Physical Sciences Research Council, Horizon 2020

Awards: A new noradrenergic strategy to treat Impulsivity in Progressive Supranuclear Palsy, G3749818553, G3849402246, G434337789, G5703894678, The “Extended-Personal Reality”: augmented recording and transmission of virtual senses through artificial-IntelligENCE, G8988971166

OpenAlex ID: W4286568264

FWCI: 3.29

Cites: 81

Cited by: 40

Related to: 10