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VGU RESEARCH REPOSITORY


Please use this identifier to cite or link to this item: https://epub.vgu.edu.vn/handle/dlibvgu/1781
DC FieldValueLanguage
dc.contributor.authorNguyen Dung Nhanen_US
dc.date.accessioned2024-03-14T04:34:18Z-
dc.date.accessioned2024-03-14T04:34:23Z-
dc.date.available2024-03-14T04:34:18Z-
dc.date.available2024-03-14T04:34:23Z-
dc.date.issued2023-
dc.identifier.urihttps://epub.vgu.edu.vn/handle/dlibvgu/1781-
dc.description.abstractAn imaging approach called functional magnetic resonance imaging can generate realtime brain images. The foundation of it is the monitoring of fluctuations in blood flow and oxygenation levels in response to neural activity, allowing researchers to gain insight into the neurobiological mechanisms beneath multiple cognitive and behavioral activities. One of the most significant fMRI tasks is the examination of the brain functional network. Brain functional networks are clusters of interconnected areas of the brain that are active while we perform cognitive or behavioral tasks such as paying attention, speaking, or controlling emotions. The breakdown of these networks offers vital insights into the neural circuits that underpin various brain processes and how they are altered by various neurological and mental diseases. Particularly in the field of neurology, fMRI has been employed to determine the particular brain regions in charge of various forms of motor and cognitive disorders, such as Alzheimer's and Parkinson disease, as well as multiple sclerosis.en_US
dc.language.isoenen_US
dc.rightsAttribution-NonCommercial 4.0 International*
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/*
dc.subjectDeep learningen_US
dc.subjectFMRI Imageen_US
dc.subjectApplicationen_US
dc.titleApplication of deep learning in FMRI image decompositionen_US
dc.typeThesisen_US
item.fulltextWith Fulltext-
item.languageiso639-1other-
item.grantfulltextrestricted-
Appears in Collections:Electrical Engineering and Information Technology (EEIT)
Electrical Engineering and Information Technology (EEIT)
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