Deep learning for brain disorder diagnosis based on fMRI images
Sign Up to like & getrecommendations! Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.05.113
Abstract: Abstract In modern neuroscience and clinical study, neuroscientists and clinicians often use non-invasive imaging techniques to validate theories and computational models, observe brain activities and diagnose brain disorders. The functional Magnetic Resonance Imaging (fMRI) is… read more here.
Keywords: disorder diagnosis; brain disorder; deep learning; brain ... See more keywords
Brain Decoding Using fMRI Images for Multiple Subjects through Deep Learning
Sign Up to like & getrecommendations! Published in 2022 at "Computational and Mathematical Methods in Medicine"
DOI: 10.1155/2022/1124927
Abstract: Substantial information related to human cerebral conditions can be decoded through various noninvasive evaluating techniques like fMRI. Exploration of the neuronal activity of the human brain can divulge the thoughts of a person like what… read more here.
Keywords: fmri images; training time; brain; deep learning ... See more keywords
fMRI-Based Alzheimer’s Disease Detection Using the SAS Method with Multi-Layer Perceptron Network
Sign Up to like & getrecommendations! Published in 2023 at "Brain Sciences"
DOI: 10.3390/brainsci13060893
Abstract: In the present scenario, Alzheimer’s Disease (AD) is one of the incurable neuro-degenerative disorders, which accounts for nearly 60% to 70% of dementia cases. Currently, several machine-learning approaches and neuroimaging modalities are utilized for diagnosing… read more here.
Keywords: fmri images; multi layer; alzheimer disease; brain ... See more keywords