Work

A parameter-efficient deep learning approach to predict conversion from mild cognitive impairment to Alzheimer's disease

Year: 2019

Type: article

Source: NeuroImage

DOI: 10.1016/j.neuroimage.2019.01.031

Authors: Simeon Spasov, Luca Passamonti, Andrea Duggento, Pietro Liò, Nicola Toschi

Institutions: University of Cambridge, University of Rome Tor Vergata, Harvard University, Massachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging

Language: English

Topic: Dementia and Cognitive Impairment Research

Subfield: Psychiatry and Mental health

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: bronze

Funders: U.S. Department of Defense, Alzheimer's Disease Neuroimaging Initiative, National Institutes of Health, Medical Research Council, Engineering and Physical Sciences Research Council, National Institute on Aging

Awards: A new noradrenergic strategy to treat Impulsivity in Progressive Supranuclear Palsy, EPSRC Centre for Doctoral Training (CDT) in Sensor Technologies and Application, G3849402246, G5347016375, G5859390703, G5932194524, G6123626163, G6238695718, G8730472137

OpenAlex ID: W2950680182

FWCI: 34.82

Cites: 59

Cited by: 455

Related to: 10