ArticleInternational journal of intelligent systems2022
NAGNN: Classification of COVID-19 based on neighboring aware representation from deep graph neural network.
Article in International journal of intelligent systems, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed, 150 citations in OpenAlex.
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- IM- LTS: An Integrated Model for Lung Tumor Segmentation using Neural Networks and IoMT.MethodsX · 2025Article
- Adaptive Tensor-Based Feature Extraction for Pupil Segmentation in Cataract Surgery.IEEE journal of biomedical and health informatics · 2024Article
- Deep Learning-Based Denoising of CEST MR Data: A Feasibility Study on Applying Synthetic Phantoms in Medical Imaging.Diagnostics (Basel, Switzerland) · 2023Article
- Bio-Inspired Artificial Intelligence with Natural Language Processing Based on Deceptive Content Detection in Social Networking.Biomimetics (Basel, Switzerland) · 2023Article
- Lung Tumor Image Segmentation from Computer Tomography Images Using MobileNetV2 and Transfer Learning.Bioengineering (Basel, Switzerland) · 2023Article
- CTMLP: Can MLPs replace CNNs or transformers for COVID-19 diagnosis?Computers in biology and medicine · 2023Article
- Emerging technologies for COVID (ET-CoV) detection and diagnosis: Recent advancements, applications, challenges, and future perspectives.Biomedical signal processing and control · 2023Review
- Self-paced Multi-view Learning for CT-based severity assessment of COVID-19.Biomedical signal processing and control · 2023Article
- Survey of Explainable AI Techniques in Healthcare.Sensors (Basel, Switzerland) · 2023Review
- Multi-objective T-S fuzzy control of Covid-19 spread model: An LMI approach.Biomedical signal processing and control · 2023Article
- COVID-19 lung infection segmentation from chest CT images based on CAPA-ResUNet.International journal of imaging systems and technology · 2023Article
- Person re-identification via semi-supervised adaptive graph embedding.Applied intelligence (Dordrecht, Netherlands) · 2023Article
- DDiagnostics (Basel, Switzerland) · 2022Article
- TSRNet: Diagnosis of COVID-19 based on self-supervised learning and hybrid ensemble model.Computers in biology and medicine · 2022Article
- NAGNN: Classification of COVID-19 based on neighboring aware representation from deep graph neural network.International journal of intelligent systems · 2022Article
- Epileptic Seizures Detection in EEG Signals Using Fusion Handcrafted and Deep Learning Features.Sensors (Basel, Switzerland) · 2021Article
- DR-IIXRN : Detection Algorithm of Diabetic Retinopathy Based on Deep Ensemble Learning and Attention Mechanism.Frontiers in neuroinformatics · 2021Article
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
COVID-19 pneumonia started in December 2019 and caused large casualties and huge economic losses. In this study, we intended to develop a computer-aided diagnosis system based on artificial intelligence to automatically identify the COVID-19 in chest computed tomography images. We utilized transfer learning to obtain the image-level representation (ILR) based on the backbone deep convolutional neural network. Then, a novel neighboring aware representation (NAR) was proposed to exploit the neighboring relationships between the ILR vectors. To obtain the neighboring information in the feature space of the ILRs, an ILR graph was generated based on the
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.