Convolutional capsnet: A novel artificial neural network approach to detect COVID-19 disease from X-ray images using capsule networks

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A Deep Learning System to Screen Novel Coronavirus Disease 2019 Pneumonia

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COVIDX-Net: A Framework of Deep Learning Classifiers to Diagnose COVID-19 in X-Ray ImagesPreprint

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Deep Learning to Improve Breast Cancer Detection on Screening Mammography

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

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Deep Learning Enables Accurate Diagnosis of Novel Coronavirus (COVID-19) With CT Images

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A Novel Transfer Learning Based Approach for Pneumonia Detection in Chest X-ray Images

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Deep Learning-based Detection for COVID-19 from Chest CT using Weak LabelPreprint

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Detection of Coronavirus Disease (COVID-19) Based on Deep FeaturesPreprint

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COVID-CAPS: A capsule network-based framework for identification of COVID-19 cases from X-ray images

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Application of deep learning for fast detection of COVID-19 in X-Rays using nCOVnet

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An Efficient Deep Learning Approach to Pneumonia Classification in Healthcare

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COVID-19 detection using deep learning models to exploit Social Mimic Optimization and structured chest X-ray images using fuzzy color and stacking approaches

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COVID-19 identification in chest X-ray images on flat and hierarchical classification scenarios

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Comparison of Deep Learning Approaches for Multi-Label Chest X-Ray Classification

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Lung CT Image Segmentation Using Deep Neural Networks

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Towards Rich Feature Discovery With Class Activation Maps Augmentation for Person Re-Identification

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Deep Learning Solutions for Skin Cancer Detection and Diagnosis

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Learning Deep Features for Discriminative LocalizationPreprint

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Fast CapsNet for Lung Cancer Screening

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Cardiac arrhythmia detection using deep learning: A review

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Deep Learning in Breast Cancer Detection and Classification

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Capsule Networks Against Medical Imaging Data Challenges

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CapsNet comparative performance evaluation for image classificationPreprint

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Recognition of sign language using capsule networks

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Deep Learning on Brain Cortical Thickness Data for Disease Classification

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CNN-based transfer learning–BiLSTM network: A novel approach for COVID-19 infection detection

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Explainable COVID-19 Detection Using Chest CT Scans and Deep Learning

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A machine learning-based framework for diagnosis of COVID-19 from chest X-ray images

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COVID-19 Detection from Chest X-ray Images Using Feature Fusion and Deep Learning

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Artificial Intelligence for COVID-19: A Systematic Review

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Computer-aided detection of COVID-19 from X-ray images using multi-CNN and Bayesnet classifier

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COVID-19 image classification using deep learning: Advances, challenges and opportunities

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IoT enabled depthwise separable convolution neural network with deep support vector machine for COVID-19 diagnosis and classification

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COVID-19 Detection Using Deep Learning Algorithm on Chest X-ray Images

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Hybrid quantum-classical convolutional neural network model for COVID-19 prediction using chest X-ray images

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Accurate deep neural network model to detect cardiac arrhythmia on more than 10,000 individual subject ECG records

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COVID-19 diagnosis using state-of-the-art CNN architecture features and Bayesian Optimization

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Detection of COVID-19 Based on Chest X-rays Using Deep Learning

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Chest X-ray analysis empowered with deep learning: A systematic review

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A survey on artificial intelligence approaches in supporting frontline workers and decision makers for the COVID-19 pandemic

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Transfer Learning to Detect COVID-19 Automatically from X-Ray Images Using Convolutional Neural Networks

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Utilisation of deep learning for COVID-19 diagnosis

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Artificial Intelligence Applied to Chest X-Ray Images for the Automatic Detection of COVID-19. A Thoughtful Evaluation Approach

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Application of Machine Learning in Diagnosis of COVID-19 Through X-Ray and CT Images: A Scoping Review

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Hybrid ensemble model for differential diagnosis between COVID-19 and common viral pneumonia by chest X-ray radiograph

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Efficient Deep-Learning-Based Autoencoder Denoising Approach for Medical Image Diagnosis

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Facial Recognition System for People with and without Face Mask in Times of the COVID-19 Pandemic

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Machine learning research towards combating COVID-19: Virus detection, spread prevention, and medical assistance

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FocusCovid: automated COVID-19 detection using deep learning with chest X-ray images

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CovH2SD: A COVID-19 detection approach based on Harris Hawks Optimization and stacked deep learning

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Trust-Augmented Deep Reinforcement Learning for Federated Learning Client Selection

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Ambiguous D-means fusion clustering algorithm based on ambiguous set theory: Special application in clustering of CT scan images of COVID-19

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A comparative study of X-ray and CT images in COVID-19 detection using image processing and deep learning techniques

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Covid-19 Imaging Tools: How Big Data is Big?

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TLCoV- An automated Covid-19 screening model using Transfer Learning from chest X-ray images

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A deep learning-based framework for detecting COVID-19 patients using chest X-rays

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Convolutional capsule network for COVID ‐19 detection using radiography images

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Machine Learning-Based Research for COVID-19 Detection, Diagnosis, and Prediction: A Survey

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COVID-19 in the Age of Artificial Intelligence: A Comprehensive Review

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Deep learning applied to automatic disease detection using chest X‐rays

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Alzheimer Disease Detection Techniques and Methods: A Review.

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Accurate detection of COVID-19 patients based on distance biased Naïve Bayes (DBNB) classification strategy

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COVID-Nets: deep CNN architectures for detecting COVID-19 using chest CT scans

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A comprehensive review of federated learning for COVID‐19 detection

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COVID-19 Screening Using a Lightweight Convolutional Neural Network with Generative Adversarial Network Data Augmentation

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MTSS-AAE: Multi-task semi-supervised adversarial autoencoding for COVID-19 detection based on chest X-ray images

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Radiologist-Level Two Novel and Robust Automated Computer-Aided Prediction Models for Early Detection of COVID-19 Infection from Chest X-ray Images

Khanna, M., Agarwal, A., Singh, L. K., Thawkar, S., Khanna, A. K., & Gupta, D. K. (2021) · Arabian Journal for Science and Engineering · doi:10.1007/s13369-021-05880-5 · Cited by 53 · see citing works

Hybrid-COVID: a novel hybrid 2D/3D CNN based on cross-domain adaptation approach for COVID-19 screening from chest X-ray images

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A Multilayer Perceptron Neural Network with Selective-Data Training for Flight Arrival Delay Prediction

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Image enhancement techniques on deep learning approaches for automated diagnosis of COVID-19 features using CXR images

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An Efficient Deep Learning Method for Detection of COVID-19 Infection Using Chest X-ray Images

Nayak, S. R., Nayak, D. R., Sinha, U., Arora, V., & Pachori, R. B. (2022) · Diagnostics · doi:10.3390/diagnostics13010131 · Cited by 44 · see citing works

Machine learning for medical imaging‐based COVID‐19 detection and diagnosis

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Attention-based 3D CNN with residual connections for efficient ECG-based COVID-19 detection

Sobahi, N. M., Şengür, A., Tan, R., & Acharya, U. R. (2022) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2022.105335 · Cited by 42 · see citing works

RESCOVIDTCNnet: A residual neural network-based framework for COVID-19 detection using TCN and EWT with chest X-ray images

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An XAI approach for COVID-19 detection using transfer learning with X-ray images

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A multiclass deep learning algorithm for healthy lung, Covid-19 and pneumonia disease detection from chest X-ray images

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COVID-WideNet—A capsule network for COVID-19 detection

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An Automated Lightweight Deep Neural Network for Diagnosis of COVID-19 from Chest X-ray Images

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Analyzing the Effect of Filtering and Feature-Extraction Techniques in a Machine Learning Model for Identification of Infectious Disease Using Radiography Imaging

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Estimation of the Edge Crush Resistance of Corrugated Board Using Artificial Intelligence

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A novel augmented deep transfer learning for classification of COVID-19 and other thoracic diseases from X-rays

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Optimal Ensemble learning model for COVID-19 detection using chest X-ray images

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COVID-19 prediction using AI analytics for South Korea

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Multi-Classification of Chest X-rays for COVID-19 Diagnosis Using Deep Learning Algorithms

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A new deep learning pipeline to detect Covid-19 on chest X-ray images using local binary pattern, dual tree complex wavelet transform and convolutional neural networks

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Hybridizing Convolutional Neural Network for Classification of Lung Diseases

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COVID-19 Diagnosis Using an Enhanced Inception-ResNetV2 Deep Learning Model in CXR Images

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A novel lightweight CNN for chest X-ray-based lung disease identification on heterogeneous embedded system

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Contribution to pulmonary diseases diagnostic from X-ray images using innovative deep learning models

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CapsCovNet: A Modified Capsule Network to Diagnose COVID-19 From Multimodal Medical Imaging

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Evaluation of EfficientNet models for COVID-19 detection using lung parenchyma

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A survey on deep learning models for detection of COVID-19

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An Accuracy vs. Complexity Comparison of Deep Learning Architectures for the Detection of COVID-19 Disease

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The Impact of Non-coding RNAs in the Epithelial to Mesenchymal Transition

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AI for COVID-19 Detection from Radiographs: Incisive Analysis of State of the Art Techniques, Key Challenges and Future Directions

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Gray level co-occurrence matrix and extreme learning machine for Covid-19 diagnosis

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MobileNetV2 Based Chest X-Rays Classification

Kolonne, S., Fernando, C., Kumarasinghe, H., & Meedeniya, D. (2021) · International Conference on Decision Aid Sciences and Applications (DASA) · doi:10.1109/dasa53625.2021.9682248 · Cited by 29 · see citing works

A Novel Protein Mapping Method for Predicting the Protein Interactions in COVID-19 Disease by Deep Learning

Alakuş, T. B., & Türkoğlu, İ. (2021) · Interdisciplinary Sciences Computational Life Sciences · doi:10.1007/s12539-020-00405-4 · Cited by 28 · see citing works

Automatic diagnosis of coronavirus (COVID-19) using shape and texture characteristics extracted from X-Ray and CT-Scan images

Imani, M. (2021) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2021.102602 · Cited by 29 · see citing works

Deep Learning for Covid-19 Screening Using Chest X-Rays in 2020: A Systematic Review

Santosh, K., Ghosh, S., & Roy, D. G. (2022) · International Journal of Pattern Recognition and Artificial Intelligence · doi:10.1142/s0218001422520103 · Cited by 28 · see citing works

MHA-CoroCapsule: Multi-Head Attention Routing-Based Capsule Network for COVID-19 Chest X-Ray Image Classification

Li, F., Lu, X., & Yuan, J. (2021) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2021.3134270 · Cited by 28 · see citing works

Screening Lung Diseases Using Cascaded Feature Generation and Selection Strategies

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COVID19 Classification Using CT Images via Ensembles of Deep Learning Models

Majid, A., Khan, M. A., Nam, Y., Tariq, U., Roy, S. S., Mostafa, R. R., & Sakr, R. H. (2021) · Computers, materials & continua/Computers, materials & continua (Print) · doi:10.32604/cmc.2021.016816 · Cited by 27 · see citing works

The effect of deep feature concatenation in the classification problem: An approach on COVID ‐19 disease detection

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A deep and handcrafted features‐based framework for diagnosis of COVID‐19 from chest x‐ray images

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The Applications of Artificial Intelligence in Chest Imaging of COVID-19 Patients: A Literature Review

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A framework of genetic algorithm-based CNN on multi-access edge computing for automated detection of COVID-19

Hassan, M. R., Ismail, W. N., Chowdhury, A., Hossain, S., Huda, S., & Hassan, M. M. (2022) · The Journal of Supercomputing · doi:10.1007/s11227-021-04222-4 · Cited by 26 · see citing works

Neural Networks for the Detection of COVID-19 and Other Diseases: Prospects and Challenges

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ChxCapsNet: Deep capsule network with transfer learning for evaluating pneumonia in paediatric chest radiographs

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BND-VGG-19: A deep learning algorithm for COVID-19 identification utilizing X-ray images

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ADA-COVID: Adversarial Deep Domain Adaptation-Based Diagnosis of COVID-19 from Lung CT Scans Using Triplet Embeddings

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A multi-class classification framework for disease screening and disease diagnosis of COVID-19 from chest X-ray images

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Capsule networks for computer vision applications: a comprehensive review

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ULNet for the detection of coronavirus (COVID-19) from chest X-ray images

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Conv-CapsNet: capsule based network for COVID-19 detection through X-Ray scans

Sharma, P., Arya, R., Verma, R., & Verma, B. (2023) · Multimedia Tools and Applications · doi:10.1007/s11042-023-14353-w · Cited by 22 · see citing works

COVID-WideNet—A capsule network for COVID-19 detection

Gupta, P. K., Siddiqui, M. K., Huang, X., Morales-Menéndez, R., Panwar, H., Terashima‐Marín, H., & Wajid, M. S. (2022) · Applied Soft Computing · doi:10.1016/j.asoc.2022.108780 · Cited by 40 · see citing works

Conv-CapsNet: capsule based network for COVID-19 detection through X-Ray scans

Sharma, P., Arya, R., Verma, R., & Verma, B. (2023) · Multimedia Tools and Applications · doi:10.1007/s11042-023-14353-w · Cited by 22 · see citing works

Initial Stage Identification of COVID-19 Using Capsule Networks

Ganesan, S., Anand, R., Sowmya, V., & Soman, K. P. (2022) · EAI/Springer Innovations in Communication and Computing · doi:10.1007/978-3-031-20541-5_9

Detection of COVID-19 disease from X-ray images using capsule-based network

Ashtiani Haghighi, D. (2022) · UVic’s Research and Learning Repository (University of Victoria)

A Novel Model for Detection and Classification Coronavirus (COVID-19) Based on Chest X-Ray Images Using CNN-CapsNet

Yousra, D., Abdelhakim, B. A., & Ahmed, M. B. (2021) · Lecture notes in networks and systems · doi:10.1007/978-3-030-78901-5_17 · Cited by 6 · see citing works