Quaternion-based weighted nuclear norm minimization for color image restoration
Color image restoration is one of the basic tasks in pattern recognition. Unlike grayscale
image, each color image has three channels in the RGB color space. Due to the inner …
image, each color image has three channels in the RGB color space. Due to the inner …
3-D CNN-based multichannel contrastive learning for Alzheimer's disease automatic diagnosis
J Li, Y Wei, C Wang, Q Hu, Y Liu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Alzheimer's disease (AD) is a common progressive neurodegenerative disease in the
elderly. Mild cognitive impairment (MCI) is the symptomatic predementia stage of AD …
elderly. Mild cognitive impairment (MCI) is the symptomatic predementia stage of AD …
Learning functional brain networks with heterogeneous connectivities for brain disease identification
Functional brain networks (FBNs), which are used to portray interactions between different
brain regions, have been widely used to identify potential biomarkers of neurological and …
brain regions, have been widely used to identify potential biomarkers of neurological and …
Modularity-guided functional brain network analysis for early-stage dementia identification
Function brain network (FBN) analysis has shown great potential in identifying brain
diseases, such as Alzheimer's disease (AD) and its prodromal stage, namely mild cognitive …
diseases, such as Alzheimer's disease (AD) and its prodromal stage, namely mild cognitive …
Constructing dynamic brain functional networks via hyper-graph manifold regularization for mild cognitive impairment classification
Y Ji, Y Zhang, H Shi, Z Jiao, SH Wang… - Frontiers in …, 2021 - frontiersin.org
Brain functional networks (BFNs) constructed via manifold regularization (MR) have
emerged as a powerful tool in finding new biomarkers for brain disease diagnosis. However …
emerged as a powerful tool in finding new biomarkers for brain disease diagnosis. However …
[PDF][PDF] Graph Neural Networks For Affective Social Media: A Comprehensive Overview.
M Karavokyris, S Sioutas - CIKM Workshops, 2022 - researchgate.net
Social media have become the main platforms for expressing and supplementing nuanced
human activity such as engaging in public and private conversations, creating and sharing …
human activity such as engaging in public and private conversations, creating and sharing …
Brain function network: higher order vs. more discrimination
Brain functional network (BFN) has become an increasingly important tool to explore
individual differences and identify neurological/mental diseases. For estimating a “good” …
individual differences and identify neurological/mental diseases. For estimating a “good” …
Multi-slice low-rank tensor decomposition based multi-atlas segmentation: Application to automatic pathological liver CT segmentation
Liver segmentation from abdominal CT images is an essential step for liver cancer computer-
aided diagnosis and surgical planning. However, both the accuracy and robustness of …
aided diagnosis and surgical planning. However, both the accuracy and robustness of …
Estimating high-order brain functional networks by correlation-preserving embedding
Brain functional network (FN) has emerged as a potential tool for identifying mental and
neurological diseases. Traditional FN estimation methods such as Pearson's correlation …
neurological diseases. Traditional FN estimation methods such as Pearson's correlation …
Learning to fuse multiple brain functional networks for automated autism identification
Simple Summary This study aims to provide computer-aided diagnosis and valuable
biomarkers for autism spectrum disorders by leveraging functional connectivity networks …
biomarkers for autism spectrum disorders by leveraging functional connectivity networks …