Detalhe da pesquisa
1.
Looking through Providers' Eyes: Pain in the Neonatal Intensive Care Unit.
Am J Perinatol
; 2023 Dec 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-37973154
2.
Using variance information in magnetoencephalography measures of functional connectivity.
Neuroimage
; 67: 203-12, 2013 Feb 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-23165323
3.
Face-based automatic pain assessment: challenges and perspectives in neonatal intensive care units.
J Pediatr (Rio J)
; 99(6): 546-560, 2023.
Artigo
em Inglês
| MEDLINE | ID: mdl-37331703
4.
Analyzing the connectivity between regions of interest: an approach based on cluster Granger causality for fMRI data analysis.
Neuroimage
; 52(4): 1444-55, 2010 Oct 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-20472076
5.
Face-based automatic pain assessment: challenges and perspectives in neonatal intensive care units
J. pediatr. (Rio J.)
; 99(6): 546-560, 2023. tab
Artigo
em Inglês
|
LILACS-Express
| ID: biblio-1521159
6.
Machine learning algorithm accurately detects fMRI signature of vulnerability to major depression.
Psychiatry Res
; 233(2): 289-91, 2015 Aug 30.
Artigo
em Inglês
| MEDLINE | ID: mdl-26187550
7.
Identification of psychopathic individuals using pattern classification of MRI images.
Soc Neurosci
; 6(5-6): 627-39, 2011.
Artigo
em Inglês
| MEDLINE | ID: mdl-21590586
8.
Exploring the knowledge contained in neuroimages: statistical discriminant analysis and automatic segmentation of the most significant changes.
Artif Intell Med
; 49(2): 105-15, 2010 Jun.
Artigo
em Inglês
| MEDLINE | ID: mdl-20452195