Cargando…
Magnetic Resonance Imaging Sequence Identification Using a Metadata Learning Approach
Despite the wide application of the magnetic resonance imaging (MRI) technique, there are no widely used standards on naming and describing MRI sequences. The absence of consistent naming conventions presents a major challenge in automating image processing since most MRI software require a priori k...
Autores principales: | Liang, Shuai, Beaton, Derek, Arnott, Stephen R., Gee, Tom, Zamyadi, Mojdeh, Bartha, Robert, Symons, Sean, MacQueen, Glenda M., Hassel, Stefanie, Lerch, Jason P., Anagnostou, Evdokia, Lam, Raymond W., Frey, Benicio N., Milev, Roumen, Müller, Daniel J., Kennedy, Sidney H., Scott, Christopher J. M., Strother, Stephen C. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8635782/ https://www.ncbi.nlm.nih.gov/pubmed/34867254 http://dx.doi.org/10.3389/fninf.2021.622951 |
Ejemplares similares
-
Multisite Comparison of MRI Defacing Software Across Multiple Cohorts
por: Theyers, Athena E., et al.
Publicado: (2021) -
Predicting escitalopram treatment response from pre-treatment and early response resting state fMRI in a multi-site sample: A CAN-BIND-1 report
por: Harris, Jacqueline K., et al.
Publicado: (2022) -
Reliability of a functional magnetic resonance imaging task of emotional conflict in healthy participants
por: Hassel, Stefanie, et al.
Publicado: (2019) -
Exploring brain connectivity changes in major depressive disorder using functional‐structural data fusion: A CAN‐BIND‐1 study
por: Ayyash, Sondos, et al.
Publicado: (2021) -
An investigation of cortical thickness and antidepressant response in major depressive disorder: A CAN-BIND study report
por: Suh, Jee Su, et al.
Publicado: (2020)