Cargando…
Insights into multimodal imaging classification of ADHD
Attention deficit hyperactivity disorder (ADHD) currently is diagnosed in children by clinicians via subjective ADHD-specific behavioral instruments and by reports from the parents and teachers. Considering its high prevalence and large economic and societal costs, a quantitative tool that aids in d...
Autores principales: | Colby, John B., Rudie, Jeffrey D., Brown, Jesse A., Douglas, Pamela K., Cohen, Mark S., Shehzad, Zarrar |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2012
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3419970/ https://www.ncbi.nlm.nih.gov/pubmed/22912605 http://dx.doi.org/10.3389/fnsys.2012.00059 |
Ejemplares similares
-
Classification of ADHD children through multimodal magnetic resonance imaging
por: Dai, Dai, et al.
Publicado: (2012) -
The UCLA multimodal connectivity database: a web-based platform for brain connectivity matrix sharing and analysis
por: Brown, Jesse A., et al.
Publicado: (2012) -
Machine learning classification of ADHD and HC by multimodal serotonergic data
por: Kautzky, A., et al.
Publicado: (2020) -
Multivariate Analysis of Preoperative Magnetic Resonance Imaging Reveals Transcriptomic Classification of de novo Glioblastoma Patients
por: Rathore, Saima, et al.
Publicado: (2019) -
Multi-Disease Segmentation of Gliomas and White Matter Hyperintensities in the BraTS Data Using a 3D Convolutional Neural Network
por: Rudie, Jeffrey D., et al.
Publicado: (2019)