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[HTML][HTML] IFC-GNN: Combining interactions of functional connectivity with multimodal graph neural networks for ASD brain disorder analysis
Many studies now indicate that brain disorders are associated with functional connectivity
between brain regions, but the impact of interactions among functional connections on …
between brain regions, but the impact of interactions among functional connections on …
[HTML][HTML] Prediction of obsessive-compulsive disorder: importance of neurobiology-aided feature design and cross-diagnosis transfer learning
Background Machine learning applications using neuroimaging provide a multidimensional,
data-driven approach that captures the level of complexity necessary for objectively aiding …
data-driven approach that captures the level of complexity necessary for objectively aiding …
[HTML][HTML] Convolutional support vector models: Prediction of coronavirus disease using chest x-rays
The disease caused by the new coronavirus (COVID-19) has been plaguing the world for
months and the number of cases are growing more rapidly as the days go by. Therefore …
months and the number of cases are growing more rapidly as the days go by. Therefore …
Multi-head self-attention model for classification of temporal lobe epilepsy subtypes
P Gu, T Wu, M Zou, Y Pan, J Guo, J **ahou… - Frontiers in …, 2020 - frontiersin.org
As a long-standing chronic disease, Temporal Lobe Epilepsy (TLE), resulting from abnormal
discharges of neurons and characterized by recurrent episodic central nervous system …
discharges of neurons and characterized by recurrent episodic central nervous system …
[PDF][PDF] Image classification from EEG Brain Signals using machine learning and deep learning techniques.
PJ Uys - 2019 - scholar.sun.ac.za
Currently the dynamics and working of the brain are not fully understood. The detection of
brain-wave patterns has been possible for decades, but the missing element was the ability …
brain-wave patterns has been possible for decades, but the missing element was the ability …
Learning Models for Psychiatric Diagnosis and Prognosis
AK Paul - 2020 - era.library.ualberta.ca
While it is very difficult to diagnose/prognosis psychiatric disorders reliably, especially in
early course, such early diagnosis/prognosis is critical for producing an effective treatment …
early course, such early diagnosis/prognosis is critical for producing an effective treatment …