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Graph neural networks for image‐guided disease diagnosis: A review

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Outgoing claims: the papers this work cites, builds on, or argues with.

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Semi‐supervised classification of fundus images combined with CNN and GCN
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Regional Radiomics Similarity Networks Reveal Distinct Subtypes and Abnormality Patterns in Mild Cognitive Impairment
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Graph Theory with Applications
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InceptionGCN: Receptive Field Aware Graph Convolutional Network for Disease Prediction
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Interpretable Graph Neural Networks for Connectome-Based Brain Disorder Analysis
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An evolving graph convolutional network for dynamic functional brain network
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Persistence homology of networks: methods and applications
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Graph neural networks: A review of methods and applications
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CheXGAT: A disease correlation-aware network for thorax disease diagnosis from chest X-ray images
inferredcites →https://doi.org/10.1016/j.bbadis.2016.01.015openalex-snapshot
Stroke injury, cognitive impairment and vascular dementia
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Autism spectrum disorder diagnosis using graph attention network based on spatial-constrained sparse functional brain networks
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MAMF-GCN: Multi-scale adaptive multi-channel fusion deep graph convolutional network for predicting mental disorder
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A multi-channel deep convolutional neural network for multi-classifying thyroid diseases
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Alzheimer’s disease and its treatment by different approaches: A review
inferredcites →https://doi.org/10.1016/j.inffus.2020.10.004openalex-snapshot
Covid-19 classification by FGCNet with deep feature fusion from graph convolutional network and convolutional neural network
inferredcites →https://doi.org/10.1016/j.ipm.2020.102439openalex-snapshot
Improved Breast Cancer Classification Through Combining Graph Convolutional Network and Convolutional Neural Network
inferredcites →https://doi.org/10.1016/j.media.2018.06.001openalex-snapshot
Disease prediction using graph convolutional networks: Application to Autism Spectrum Disorder and Alzheimer’s disease
inferredcites →https://doi.org/10.1016/j.media.2018.11.006openalex-snapshot
Multimodal hyper-connectivity of functional networks using functionally-weighted LASSO for MCI classification
inferredcites →https://doi.org/10.1016/j.media.2020.101947openalex-snapshot
Graph convolution network with similarity awareness and adaptive calibration for disease-induced deterioration prediction
inferredcites →https://doi.org/10.1016/j.media.2021.102267openalex-snapshot
Dynamic topology analysis for spatial patterns of multifocal lesions on MRI
inferredcites →https://doi.org/10.1016/j.neunet.2022.06.035openalex-snapshot
Deep reinforcement learning guided graph neural networks for brain network analysis
inferredcites →https://doi.org/10.1016/j.neuroimage.2017.12.052openalex-snapshot
Metric learning with spectral graph convolutions on brain connectivity networks
inferredcites →https://doi.org/10.1016/j.neuroimage.2021.118252openalex-snapshot
Decomposition of individual-specific and individual-shared components from resting-state functional connectivity using a multi-task machine learning method
inferredcites →https://doi.org/10.1016/j.patcog.2021.108113openalex-snapshot
GGAC: Multi-relational image gated GCN with attention convolutional binary neural tree for identifying disease with chest X-rays
inferredcites →https://doi.org/10.1016/j.patcog.2022.109031openalex-snapshot
Transformed domain convolutional neural network for Alzheimer's disease diagnosis using structural MRI
inferredcites →https://doi.org/10.1016/j.patcog.2022.109106openalex-snapshot
Multi-scale enhanced graph convolutional network for mild cognitive impairment detection
inferredcites →https://doi.org/10.1016/j.patter.2022.100657openalex-snapshot
Topological data analysis of thoracic radiographic images shows improved radiomics-based lung tumor histology prediction
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Advances in neural information processing systems 7
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inferredcites →https://doi.org/10.1038/s41467-020-17419-7openalex-snapshot
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inferredcites →https://doi.org/10.1038/s41598-022-21491-yopenalex-snapshot
On the limits of graph neural networks for the early diagnosis of Alzheimer’s disease
inferredcites →https://doi.org/10.1088/0031-9155/60/12/4893openalex-snapshot
Topology polymorphism graph for lung tumor segmentation in PET-CT images
inferredcites →https://doi.org/10.1093/brain/aww194openalex-snapshot
Brain networks under attack: robustness properties and the impact of lesions
inferredcites →https://doi.org/10.1093/cercor/bhac513openalex-snapshot
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inferredcites →https://doi.org/10.1093/schbul/sbac047openalex-snapshot
Graph Convolutional Networks Reveal Network-Level Functional Dysconnectivity in Schizophrenia
inferredcites →https://doi.org/10.1109/cisp-bmei56279.2022.9980159openalex-snapshot
Aiding Alzheimer's Disease Diagnosis Using Graph Convolutional Networks Based on rs-fMRI Data
inferredcites →https://doi.org/10.1109/cvpr.2015.7298990openalex-snapshot
Image retrieval using scene graphs
inferredcites →https://doi.org/10.1109/embc.2016.7590913openalex-snapshot
Topology guided demons registration with local rigidity preservation
inferredcites →https://doi.org/10.1109/embc48229.2022.9871118openalex-snapshot
Joint Embedding of Structural and Functional Brain Networks with Graph Neural Networks for Mental Illness Diagnosis
inferredcites →https://doi.org/10.1109/icarcv50220.2020.9305487openalex-snapshot
Multi-level Topological Analysis Framework for Multifocal Diseases
inferredcites →https://doi.org/10.1109/ijcnn.2005.1555942openalex-snapshot
A new model for learning in graph domains
inferredcites →https://doi.org/10.1109/jbhi.2021.3053568openalex-snapshot
Auto-Metric Graph Neural Network Based on a Meta-Learning Strategy for the Diagnosis of Alzheimer's Disease
inferredcites →https://doi.org/10.1109/jbhi.2021.3067333openalex-snapshot
Integration of CNN, CBMIR, and Visualization Techniques for Diagnosis and Quantification of Covid-19 Disease
inferredcites →https://doi.org/10.1109/jbhi.2021.3109119openalex-snapshot
Deep Attention and Graphical Neural Network for Multiple Sclerosis Lesion Segmentation From MR Imaging Sequences
inferredcites →https://doi.org/10.1109/tmi.2018.2831261openalex-snapshot
Connectivity in fMRI: Blind Spots and Breakthroughs
inferredcites →https://doi.org/10.1109/tmi.2021.3049498openalex-snapshot
Contrast-Attentive Thoracic Disease Recognition With Dual-Weighting Graph Reasoning
inferredcites →https://doi.org/10.1109/tmi.2022.3202037openalex-snapshot
Diagnosis of Glioblastoma Multiforme Progression via Interpretable Structure-Constrained Graph Neural Networks
inferredcites →https://doi.org/10.1109/tmi.2022.3222093openalex-snapshot
Graph Transformer Geometric Learning of Brain Networks Using Multimodal MR Images for Brain Age Estimation
inferredcites →https://doi.org/10.1109/tmi.2022.3226575openalex-snapshot
Structural Attention Graph Neural Network for Diagnosis and Prediction of COVID-19 Severity
inferredcites →https://doi.org/10.1109/tnnls.2020.2978386openalex-snapshot
A Comprehensive Survey on Graph Neural Networks
inferredcites →https://doi.org/10.1109/tnnls.2021.3070843openalex-snapshot
A Survey on Knowledge Graphs: Representation, Acquisition, and Applications
inferredcites →https://doi.org/10.1109/tnnls.2022.3154755openalex-snapshot
Adversarial Learning Based Node-Edge Graph Attention Networks for Autism Spectrum Disorder Identification
inferredcites →https://doi.org/10.1109/tpami.2021.3137605openalex-snapshot
A Comprehensive Survey of Scene Graphs: Generation and Application
inferredcites →https://doi.org/10.1109/tpami.2022.3209686openalex-snapshot
Graph Neural Networks in Network Neuroscience
inferredcites →https://doi.org/10.1117/12.2549451openalex-snapshot
Graph embedding using Infomax for ASD classification and brain functional difference detection
inferredcites →https://doi.org/10.1136/jnnp-2016-314005openalex-snapshot
Brain lesion distribution criteria distinguish MS from AQP4-antibody NMOSD and MOG-antibody disease
inferredcites →https://doi.org/10.1137/20m1355896openalex-snapshot
The Why, How, and When of Representations for Complex Systems
inferredcites →https://doi.org/10.1140/epjds/s13688-017-0109-5openalex-snapshot
A roadmap for the computation of persistent homology
inferredcites →https://doi.org/10.1145/3219819.3219890openalex-snapshot
Graph Convolutional Neural Networks for Web-Scale Recommender Systems
inferredcites →https://doi.org/10.1146/annurev-bioeng-071516-044442openalex-snapshot
Deep Learning in Medical Image Analysis
inferredcites →https://doi.org/10.1186/s41747-022-00312-xopenalex-snapshot
Algebraic topology-based machine learning using MRI predicts outcomes in primary sclerosing cholangitis
inferredcites →https://doi.org/10.1371/journal.pcbi.1002885openalex-snapshot
The Human Functional Brain Network Demonstrates Structural and Dynamical Resilience to Targeted Attack
inferredcites →https://doi.org/10.1609/aaai.v36i8.20871openalex-snapshot
AutoGCL: Automated Graph Contrastive Learning via Learnable View Generators
inferredcites →https://doi.org/10.21037/tp.2019.09.09openalex-snapshot
Autism spectrum disorder: definition, epidemiology, causes, and clinical evaluation
inferredcites →https://doi.org/10.3389/fncom.2013.00169openalex-snapshot
Defining nodes in complex brain networks
inferredcites →https://doi.org/10.3389/fninf.2021.802305openalex-snapshot
Multi-Scale Graph Representation Learning for Autism Identification With Functional MRI
inferredcites →https://doi.org/10.3390/math8050770openalex-snapshot
Towards Personalized Diagnosis of Glioblastoma in Fluid-Attenuated Inversion Recovery (FLAIR) by Topological Interpretable Machine Learning
inferredcites →https://doi.org/10.3390/s21144758openalex-snapshot
Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future
inferredcites →https://doi.org/10.48550/arxiv.2010.13902openalex-snapshot
Graph Contrastive Learning with Augmentations

What points at this work

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