Multi-scale enhanced graph convolutional network for mild cognitive impairment detection
As an early stage of Alzheimer's disease (AD), mild cognitive impairment (MCI) is able to be
detected by analyzing the brain connectivity networks. For this reason, we devise a new …
detected by analyzing the brain connectivity networks. For this reason, we devise a new …
Multi-scale enhanced graph convolutional network for early mild cognitive impairment detection
Early mild cognitive impairment (EMCI) is an early stage of MCI, which can be detected by
brain connectivity networks. To detect EMCI, we design a novel framework based on multi …
brain connectivity networks. To detect EMCI, we design a novel framework based on multi …
Dynamic spectral graph convolution networks with assistant task training for early MCI diagnosis
Functional brain connectome, also known as inter-regional functional connectivity (FC)
matrix, is recently considered providing decisive markers for early mild cognitive impairment …
matrix, is recently considered providing decisive markers for early mild cognitive impairment …
[HTML][HTML] Identification of early mild cognitive impairment using multi-modal data and graph convolutional networks
Background The identification of early mild cognitive impairment (EMCI), which is an early
stage of Alzheimer's disease (AD) and is associated with brain structural and functional …
stage of Alzheimer's disease (AD) and is associated with brain structural and functional …
Deep learning based mild cognitive impairment diagnosis using structure MR images
J Jiang, L Kang, J Huang, T Zhang - Neuroscience letters, 2020 - Elsevier
Mild cognitive impairment (MCI) is an early sign of Alzheimer's disease (AD) which is the
fourth leading disease mostly found in the aged population. Early intervention of MCI will …
fourth leading disease mostly found in the aged population. Early intervention of MCI will …
Resting-state whole-brain functional connectivity networks for MCI classification using L2-regularized logistic regression
X Zhang, B Hu, X Ma, L Xu - IEEE transactions on …, 2015 - ieeexplore.ieee.org
Mild cognitive impairment (MCI) has been considered as a transition phase to Alzheimer's
disease (AD), and the diagnosis of MCI may help patients to carry out appropriate treatments …
disease (AD), and the diagnosis of MCI may help patients to carry out appropriate treatments …
A novel end-to-end hybrid network for Alzheimer's disease detection using 3D CNN and 3D CLSTM
Structural magnetic resonance imaging (sMRI) plays an important role in Alzheimer's
disease (AD) detection as it shows morphological changes caused by brain atrophy …
disease (AD) detection as it shows morphological changes caused by brain atrophy …
Novel effective connectivity inference using ultra-group constrained orthogonal forward regression and elastic multilayer perceptron classifier for MCI identification
Mild cognitive impairment (MCI) detection is important, such that appropriate interventions
can be imposed to delay or prevent its progression to severe stages, including Alzheimer's …
can be imposed to delay or prevent its progression to severe stages, including Alzheimer's …
[HTML][HTML] Identifying early mild cognitive impairment by multi-modality MRI-based deep learning
L Kang, J Jiang, J Huang, T Zhang - Frontiers in aging neuroscience, 2020 - frontiersin.org
Mild cognitive impairment (MCI) is a clinical state with a high risk of conversion to
Alzheimer's Disease (AD). Since there is no effective treatment for AD, it is extremely …
Alzheimer's Disease (AD). Since there is no effective treatment for AD, it is extremely …
Multi-relation graph convolutional network for Alzheimer's disease diagnosis using structural MRI
Structural magnetic resonance imaging (sMRI) is widely applied in Alzheimer's disease (AD)
diagnosis tasks by reflecting structural anomalies of the brain. Currently, most existing …
diagnosis tasks by reflecting structural anomalies of the brain. Currently, most existing …