Diagnosis of COVID-19 Pneumonia Based on Graph Convolutional Network

Imaging changes in patients with 2019-nCov

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DT-LET: Deep transfer learning by exploring where to transfer

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Coronavirus Disease 2019 (COVID-19): A Perspective from China

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Chest CT Findings in Coronavirus Disease-19 (COVID-19): Relationship to Duration of Infection

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Chest CT for Typical 2019-nCoV Pneumonia: Relationship to Negative RT-PCR Testing

(2020) Xingzhi Xie et al.   RADIOLOGY

Sensitivity of Chest CT for COVID-19: Comparison to RT-PCR

(2020) Yicheng Fang et al.   RADIOLOGY

CT Imaging Features of 2019 Novel Coronavirus (2019-nCoV)

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Deep learning system to screen coronavirus disease 2019 pneumonia

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Clinically Applicable AI System for Accurate Diagnosis, Quantitative Measurements, and Prognosis of COVID-19 Pneumonia Using Computed Tomography

(2020) Kang Zhang et al.   CELL

AI Augmentation of Radiologist Performance in Distinguishing COVID-19 from Pneumonia of Other Etiology on Chest CT

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Within the Lack of Chest COVID-19 X-ray Dataset: A Novel Detection Model Based on GAN and Deep Transfer Learning

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CovXNet: A multi-dilation convolutional neural network for automatic COVID-19 and other pneumonia detection from chest X-ray images with transferable multi-receptive feature optimization

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Target transfer Q-learning and its convergence analysis

(2020) Yue Wang et al.   NEUROCOMPUTING

Deep Learning-Based Decision-Tree Classifier for COVID-19 Diagnosis From Chest X-ray Imaging

(2020) Seung Hoon Yoo et al.   Frontiers in Medicine

Holistic multitask regression network for multiapplication shape regression segmentation

(2020) Clara M. Tam et al.   MEDICAL IMAGE ANALYSIS

AdaBoost-CNN: An adaptive boosting algorithm for convolutional neural networks to classify multi-class imbalanced datasets using transfer learning

(2020) Aboozar Taherkhani et al.   NEUROCOMPUTING

Multimodal multitask deep learning model for Alzheimer’s disease progression detection based on time series data

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Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification With Chest CT

(2020) Liang Sun et al.   IEEE Journal of Biomedical and Health Informatics

The Performance of Deep Neural Networks in Differentiating Chest X-Rays of COVID-19 Patients From Other Bacterial and Viral Pneumonias

(2020) Mohamed Elgendi et al.   Frontiers in Medicine

A transfer learning method using speech data as the source domain for micro-Doppler classification tasks

(2020) Yuxin Li et al.   KNOWLEDGE-BASED SYSTEMS

Image recognition of wind turbine blade damage based on a deep learning model with transfer learning and an ensemble learning classifier

(2020) Xiyun Yang et al.   RENEWABLE ENERGY

Absolute cosine-based SVM-RFE feature selection method for prostate histopathological grading

(2018) Shahnorbanun Sahran et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

Disease prediction using graph convolutional networks: Application to Autism Spectrum Disorder and Alzheimer’s disease

(2018) Sarah Parisot et al.   MEDICAL IMAGE ANALYSIS

Metric learning with spectral graph convolutions on brain connectivity networks

(2018) Sofia Ira Ktena et al.   NEUROIMAGE

A new electricity price prediction strategy using mutual information-based SVM-RFE classification

(2017) Zhen Shao et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Compact Graph based Semi-Supervised Learning for Medical Diagnosis in Alzheimer’s Disease

(2014) Mingbo Zhao et al.   IEEE SIGNAL PROCESSING LETTERS

The emerging field of signal processing on graphs: Extending high-dimensional data analysis to networks and other irregular domains

(2013) D. I. Shuman et al.   IEEE SIGNAL PROCESSING MAGAZINE

3D Convolutional Neural Networks for Human Action Recognition

(2012) Shuiwang Ji et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

The Graph Neural Network Model

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