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  • 1
    Online Resource
    Online Resource
    London, United Kingdom : IntechOpen
    UID:
    b3kat_BV049687528
    Format: 1 Online-Ressource
    ISBN: 9781837687114 , 9781837687107
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-1-83768-709-1
    Language: English
    Subjects: Medicine
    RVK:
    Keywords: Neurowissenschaften ; Bildgebendes Verfahren ; Neuroradiologie ; Aufsatzsammlung
    URL: Volltext  (kostenfrei)
    URL: Volltext  (kostenfrei)
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    Online Resource
    Online Resource
    [Place of publication not identified] :IntechOpen,
    UID:
    almafu_9961451649902883
    Format: 1 online resource (102 pages)
    ISBN: 1-83768-710-2
    Content: Neuroimaging has developed rapidly, such as ultrasound, CT scanning, MRI, functional MRI, 7T MRI, and digital subtraction angiography, providing high-resolution acquisition and better contrast, making it easier to detect lesions and structural changes in brain diseases. Targeted diseases in neuroimaging include tumors, vascular diseases, neurodegenerative diseases, and psychiatric disorders, including Alzheimer's disease, Parkinson's disease, multiple sclerosis, epilepsy, severe depression, and schizophrenia. The ability of electroencephalography and magnetoencephalography to detect changes in brain function in other dementia suggests that they may also be promising biomarkers for early vascular cognitive impairment. In recent years, machine learning has achieved significant success in providing automated analysis for neuroimaging research, and its role may increase in the future. For clinical doctors, understanding these methods and mastering explanatory skills are crucial.
    Note: 1. Introductory Chapter: Advances in Neuroimaging -- 2. Preprocessing Techniques for Neuroimaging Modalities: An In-Depth Analysis -- 3. New Progress in Imaging of Pituitary Diseases -- 4. Characteristics of Magnetic Resonance Spectroscopy in Toxic Leukoencephalopathy -- 5. Neuroimaging in Neonates: Newer Insights -- 6. Advances in Magnetic Resonance Imaging in Multiple Sclerosis.
    Additional Edition: ISBN 1-83768-709-9
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 3
    Online Resource
    Online Resource
    IntechOpen
    UID:
    edocfu_9961451649902883
    ISBN: 1-83768-710-2
    Additional Edition: ISBN 1-83768-709-9
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 4
    Online Resource
    Online Resource
    IntechOpen
    UID:
    edoccha_9961451649902883
    ISBN: 1-83768-710-2
    Additional Edition: ISBN 1-83768-709-9
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 5
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : IntechOpen
    UID:
    gbv_1885771738
    Format: 1 Online-Ressource (102 p.)
    ISBN: 9781837687107 , 9781837687091 , 9781837687114
    Content: Neuroimaging has developed rapidly, such as ultrasound, CT scanning, MRI, functional MRI, 7T MRI, and digital subtraction angiography, providing high-resolution acquisition and better contrast, making it easier to detect lesions and structural changes in brain diseases. Targeted diseases in neuroimaging include tumors, vascular diseases, neurodegenerative diseases, and psychiatric disorders, including Alzheimer’s disease, Parkinson’s disease, multiple sclerosis, epilepsy, severe depression, and schizophrenia. The ability of electroencephalography and magnetoencephalography to detect changes in brain function in other dementia suggests that they may also be promising biomarkers for early vascular cognitive impairment. In recent years, machine learning has achieved significant success in providing automated analysis for neuroimaging research, and its role may increase in the future. For clinical doctors, understanding these methods and mastering explanatory skills are crucial
    Note: English
    Language: Undetermined
    Library Location Call Number Volume/Issue/Year Availability
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