Exploring the knowledge contained in neuroimages: Statistical discriminant analysis and automatic segmentation of the most significant changes (2010)
- Authors:
- USP affiliated authors: BUSATTO FILHO, GERALDO - FM ; GATTAZ, WAGNER FARID - FM
- Unidade: FM
- DOI: 10.1016/j.artmed.2010.03.003
- Subjects: NEUROLOGIA; ESQUIZOFRENIA (DIAGNÓSTICO;PESQUISA); DIAGNÓSTICO POR IMAGEM; IMAGEM POR RESSONÂNCIA MAGNÉTICA; ANÁLISE ESTATÍSTICA DE DADOS
- Language: Inglês
- Imprenta:
- Source:
- Título: Artificial Intelligence in Medicine
- ISSN: 0933-3657
- Volume/Número/Paginação/Ano: v. 49, n. 2, p. 105-115, 2010
- Status:
- Artigo possui versão em acesso aberto em repositório (Green Open Access)
- Versão do Documento:
- Versão publicada (Published version)
- Acessar versão aberta:
-
ABNT
SANTOS, Paulo E. et al. Exploring the knowledge contained in neuroimages: Statistical discriminant analysis and automatic segmentation of the most significant changes. Artificial Intelligence in Medicine, v. 49, n. 2, p. 105-115, 2010Tradução . . Disponível em: https://doi.org/10.1016/j.artmed.2010.03.003. Acesso em: 01 abr. 2026. -
APA
Santos, P. E., Thomaz, C. E., Santos, D. dos, Freire, R., Sato, J. R., Louzã, M., et al. (2010). Exploring the knowledge contained in neuroimages: Statistical discriminant analysis and automatic segmentation of the most significant changes. Artificial Intelligence in Medicine, 49( 2), 105-115. doi:10.1016/j.artmed.2010.03.003 -
NLM
Santos PE, Thomaz CE, Santos D dos, Freire R, Sato JR, Louzã M, Sallet P, Busatto G, Gattaz WF. Exploring the knowledge contained in neuroimages: Statistical discriminant analysis and automatic segmentation of the most significant changes [Internet]. Artificial Intelligence in Medicine. 2010 ; 49( 2): 105-115.[citado 2026 abr. 01 ] Available from: https://doi.org/10.1016/j.artmed.2010.03.003 -
Vancouver
Santos PE, Thomaz CE, Santos D dos, Freire R, Sato JR, Louzã M, Sallet P, Busatto G, Gattaz WF. Exploring the knowledge contained in neuroimages: Statistical discriminant analysis and automatic segmentation of the most significant changes [Internet]. Artificial Intelligence in Medicine. 2010 ; 49( 2): 105-115.[citado 2026 abr. 01 ] Available from: https://doi.org/10.1016/j.artmed.2010.03.003 - Genetic polymorphisms of the 5HT receptors are not related with depression in temporal lobe epilepsy caused by hippocampal sclerosis
- Lithium increases nitric oxide levels in subjects with bipolar disorder during depressive episodes
- State-dependent microstructural white matter changes in drug-naive patients with first-episode psychosis
- Increased GDNF but not BDNF Plasma Levels in Type II Compared to Type I Bipolar Disorder
- Increased platelet glycogen sysnthase kinase 3beta in first-episode psychosis
- Increased Glycogen Synthase Kinase-3B (GSK- 3B) Expression in Platelets of First Onset Psychosis Non-affective Patients
- Higher transcription alleles of the MAOA-uVNTR polymorphism are associated with higher seizure frequency in temporal lobe epilepsy
- BDNF Val66Met polymorphism is not related with temporal lobe epilepsy caused by hippocampal sclerosis in Brazilian population
- Lithium increases cortical and subcortical volumes in subjects with bipolar disorder
- The role of lithium treatment on comorbid anxiety symptoms in patients with bipolar depression
Informações sobre a disponibilidade de versões do artigo em acesso aberto coletadas automaticamente via oaDOI API (Unpaywall).
Por se tratar de integração com serviço externo, podem existir diferentes versões do trabalho (como preprints ou postprints), que podem diferir da versão publicada.
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
