MetaCOVID: A Siamese neural network framework with contrastive loss for n-shot diagnosis of COVID-19 patients

Deep Residual Learning for Image Recognition

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COVID-Net: a tailored deep convolutional neural network design for detection of COVID-19 cases from chest X-ray images

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A deep learning algorithm using CT images to screen for Corona virus disease (COVID-19)

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A Deep Learning System to Screen Novel Coronavirus Disease 2019 Pneumonia

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Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network

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A deep learning algorithm using CT images to screen for Corona Virus Disease (COVID-19)Preprint

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COVID-19 Image Data CollectionPreprint

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Deep learning-based model for detecting 2019 novel coronavirus pneumonia on high-resolution computed tomography

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Mapping the landscape of Artificial Intelligence applications against COVID-19

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Data Augmentation Using Learned Transformations for One-Shot Medical Image Segmentation

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Sample-Efficient Deep Learning for COVID-19 Diagnosis Based on CT ScansPreprint

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Artificial Intelligence Augmentation of Radiologist Performance in Distinguishing COVID-19 from Pneumonia of Other Origin at Chest CT

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Deep learning-based model for detecting 2019 novel coronavirus pneumonia on high-resolution computed tomography: a prospective studyPreprint

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Explainable AI and Mass Surveillance System-Based Healthcare Framework to Combat COVID-I9 Like Pandemics

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Applying Deep Learning for Epilepsy Seizure Detection and Brain Mapping Visualization

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UNet++: A Nested U-Net Architecture for Medical Image SegmentationPreprint

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Momentum contrastive learning for few-shot COVID-19 diagnosis from chest CT images

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Polyp detection during colonoscopy using a regression-based convolutional neural network with a tracker

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Detection and classification of cancer in whole slide breast histopathology images using deep convolutional networks

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EEG-Based Pathology Detection for Home Health Monitoring

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B5G and Explainable Deep Learning Assisted Healthcare Vertical at the Edge: COVID-I9 Perspective

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Multi-Label classification of multi-modality skin lesion via hyper-connected convolutional neural network

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Deep Relative Attributes

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COVID-19 Networking Demand: An Auction-Based Mechanism for Automated Selection of Edge Computing Services

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Data augmentation using learned transformations for one-shot medical image segmentationPreprint

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Deep learning and medical diagnosis

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Review of deep learning: concepts, CNN architectures, challenges, applications, future directions

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Recent advances and clinical applications of deep learning in medical image analysis

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Secure and Provenance Enhanced Internet of Health Things Framework: A Blockchain Managed Federated Learning Approach

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COVID-Net FewSE: An Open-Source Deep Siamese Convolutional Network Model for Few-Shot Detection of COVID-19 Infection from X-Ray Images

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Self-Supervised Contrastive Learning for Covid-19 Classification from Computed Tomography Images

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A Siamese neural network-based diagnosis of COVID-19 using chest X-rays

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Multi-task contrastive learning for automatic CT and X-ray diagnosis of COVID-19

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Momentum contrastive learning for few-shot COVID-19 diagnosis from chest CT images

Chen, X., Yao, L., Zhou, T., Dong, J., & Zhang, Y. (2021) · Pattern Recognition · doi:10.1016/j.patcog.2021.107826 · Cited by 191