Publications
2018
1.
Pellegrini, Enrico; Ballerini, Lucía; del Carmen Valdés-Hernández, María; Chappell, Francesca M; González-Castro, Victor; Anblagan, Devasuda; Danso, Samuel; Muñoz-Maniega, Susana; Job, Dominic; Pernet, Cyril
Machine learning of neuroimaging for assisted diagnosis of cognitive impairment and dementia: a systematic review Artículo de revista
En: Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring, vol. 10, pp. 519–535, 2018, (Publisher: No longer published by Elsevier).
Resumen | Enlaces | BibTeX | Etiquetas: Cerebrovascular Disease, Classification, Dementia, machine learning, MRI, Pathological Aging, segmentation, small vessel disease
@article{pellegrini_machine_2018,
title = {Machine learning of neuroimaging for assisted diagnosis of cognitive impairment and dementia: a systematic review},
author = {Enrico Pellegrini and Lucía Ballerini and María del Carmen Valdés-Hernández and Francesca M Chappell and Victor González-Castro and Devasuda Anblagan and Samuel Danso and Susana Muñoz-Maniega and Dominic Job and Cyril Pernet},
url = {https://www.sciencedirect.com/science/article/pii/S2352872918300447},
year = {2018},
date = {2018-01-01},
urldate = {2018-01-01},
journal = {Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring},
volume = {10},
pages = {519–535},
abstract = {Advanced machine learning methods might help to identify dementia risk from neuroimaging, but their accuracy to date is unclear.},
note = {Publisher: No longer published by Elsevier},
keywords = {Cerebrovascular Disease, Classification, Dementia, machine learning, MRI, Pathological Aging, segmentation, small vessel disease},
pubstate = {published},
tppubtype = {article}
}
Advanced machine learning methods might help to identify dementia risk from neuroimaging, but their accuracy to date is unclear.