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Explainable COVID-19 Detection Using Chest CT Scans and Deep Learning
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Outgoing claims: the papers this work cites, builds on, or argues with.
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ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design
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Chest CT manifestations of new coronavirus disease 2019 (COVID-19): a pictorial review
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A deep learning algorithm using CT images to screen for Corona virus disease (COVID-19)
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Deep neural network to detect COVID-19: one architecture for both CT Scans and Chest X-rays
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AI-Driven Tools for Coronavirus Outbreak: Need of Active Learning and Cross-Population Train/Test Models on Multitudinal/Multimodal Data
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ImageNet Large Scale Visual Recognition Challenge
inferredcites →https://doi.org/10.1007/s12652-020-02669-6openalex-snapshot
Rapid COVID-19 diagnosis using ensemble deep transfer learning models from chest radiographic images
inferredcites →https://doi.org/10.1007/s13246-020-00865-4openalex-snapshot
Covid-19: automatic detection from X-ray images utilizing transfer learning with convolutional neural networks
inferredcites →https://doi.org/10.1016/j.chaos.2020.110122openalex-snapshot
Convolutional capsnet: A novel artificial neural network approach to detect COVID-19 disease from X-ray images using capsule networks
inferredcites →https://doi.org/10.1016/j.chaos.2020.110190openalex-snapshot
A deep learning and grad-CAM based color visualization approach for fast detection of COVID-19 cases using chest X-ray and CT-Scan images
inferredcites →https://doi.org/10.1016/j.cmpb.2020.105532openalex-snapshot
COVID-19 identification in chest X-ray images on flat and hierarchical classification scenarios
inferredcites →https://doi.org/10.1016/j.cmpb.2020.105581openalex-snapshot
CoroNet: A deep neural network for detection and diagnosis of COVID-19 from chest x-ray images
inferredcites →https://doi.org/10.1016/j.cmpb.2020.105608openalex-snapshot
Explainable Deep Learning for Pulmonary Disease and Coronavirus COVID-19 Detection from X-rays
inferredcites →https://doi.org/10.1016/j.diii.2020.03.014openalex-snapshot
COVID-19 pneumonia: A review of typical CT findings and differential diagnosis
inferredcites →https://doi.org/10.1016/j.ejrad.2020.108961openalex-snapshot
Diagnosis of the Coronavirus disease (COVID-19): rRT-PCR or CT?
inferredcites →https://doi.org/10.1016/j.ejrad.2020.109041openalex-snapshot
Deep learning-based multi-view fusion model for screening 2019 novel coronavirus pneumonia: A multicentre study
inferredcites →https://doi.org/10.1016/j.eng.2020.04.010openalex-snapshot
A Deep Learning System to Screen Novel Coronavirus Disease 2019 Pneumonia
inferredcites →https://doi.org/10.1016/j.imu.2020.100427openalex-snapshot
COVID-19 detection in CT images with deep learning: A voting-based scheme and cross-datasets analysis
inferredcites →https://doi.org/10.1016/j.media.2020.101794openalex-snapshot
Deep-COVID: Predicting COVID-19 from chest X-ray images using deep transfer learning
inferredcites →https://doi.org/10.1016/j.patrec.2020.09.010openalex-snapshot
COVID-CAPS: A capsule network-based framework for identification of COVID-19 cases from X-ray images
inferredcites →https://doi.org/10.1016/j.sysarc.2020.101830openalex-snapshot
A Survey on Deep Transfer Learning to Edge Computing for Mitigating the COVID-19 Pandemic
inferredcites →https://doi.org/10.1016/s0140-6736(20)30211-7openalex-snapshot
Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study
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First known person-to-person transmission of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in the USA
inferredcites →https://doi.org/10.1038/s41598-020-76282-0openalex-snapshot
Deep learning-based model for detecting 2019 novel coronavirus pneumonia on high-resolution computed tomography
inferredcites →https://doi.org/10.1038/s41598-020-76550-zopenalex-snapshot
COVID-Net: a tailored deep convolutional neural network design for detection of COVID-19 cases from chest X-ray images
inferredcites →https://doi.org/10.1080/07391102.2020.1788642openalex-snapshot
Classification of the COVID-19 infected patients using DenseNet201 based deep transfer learning
inferredcites →https://doi.org/10.1101/2020.04.13.20063479openalex-snapshot
Machine Learning Analysis of Chest CT Scan Images as a Complementary Digital Test of Coronavirus (COVID-19) Patients
inferredcites →https://doi.org/10.1101/2020.04.13.20063941openalex-snapshot
Sample-Efficient Deep Learning for COVID-19 Diagnosis Based on CT Scans
inferredcites →https://doi.org/10.1101/2020.04.24.20078584openalex-snapshot
EXPLAINABLE-BY-DESIGN APPROACH FOR COVID-19 CLASSIFICATION VIA CT-SCAN
inferredcites →https://doi.org/10.1109/access.2020.3024116openalex-snapshot
Deep Convolutional Neural Networks for Unconstrained Ear Recognition
inferredcites →https://doi.org/10.1109/cvpr.2009.5206848openalex-snapshot
ImageNet: A large-scale hierarchical image database
inferredcites →https://doi.org/10.1109/cvpr.2015.7298594openalex-snapshot
Going deeper with convolutions
inferredcites →https://doi.org/10.1109/cvpr.2016.308openalex-snapshot
Rethinking the Inception Architecture for Computer Vision
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/cvpr.2017.195openalex-snapshot
Xception: Deep Learning with Depthwise Separable Convolutions
inferredcites →https://doi.org/10.1109/cvpr.2017.243openalex-snapshot
Densely Connected Convolutional Networks
inferredcites →https://doi.org/10.1109/cvpr.2017.634openalex-snapshot
Aggregated Residual Transformations for Deep Neural Networks
inferredcites →https://doi.org/10.1109/cvpr.2018.00716openalex-snapshot
ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
inferredcites →https://doi.org/10.1109/cvprw.2015.7301270openalex-snapshot
From generic to specific deep representations for visual recognition
inferredcites →https://doi.org/10.1109/iccv.2017.74openalex-snapshot
Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization
inferredcites →https://doi.org/10.1109/jbhi.2020.3023246openalex-snapshot
Contrastive Cross-Site Learning With Redesigned Net for COVID-19 CT Classification
inferredcites →https://doi.org/10.1109/tcbb.2021.3065361openalex-snapshot
Deep Learning Enables Accurate Diagnosis of Novel Coronavirus (COVID-19) With CT Images
inferredcites →https://doi.org/10.1109/tmi.2016.2528162openalex-snapshot
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
inferredcites →https://doi.org/10.1109/tmi.2020.2995965openalex-snapshot
A Weakly-Supervised Framework for COVID-19 Classification and Lesion Localization From Chest CT
inferredcites →https://doi.org/10.1109/tnnls.2021.3054306openalex-snapshot
An Uncertainty-Aware Transfer Learning-Based Framework for COVID-19 Diagnosis
inferredcites →https://doi.org/10.1148/radiol.2020200241openalex-snapshot
Chest CT Findings in 2019 Novel Coronavirus (2019-nCoV) Infections from Wuhan, China: Key Points for the Radiologist
inferredcites →https://doi.org/10.1148/radiol.2020200432openalex-snapshot
Sensitivity of Chest CT for COVID-19: Comparison to RT-PCR
inferredcites →https://doi.org/10.1148/radiol.2020200642openalex-snapshot
Correlation of Chest CT and RT-PCR Testing for Coronavirus Disease 2019 (COVID-19) in China: A Report of 1014 Cases
inferredcites →https://doi.org/10.1148/radiol.2020200905openalex-snapshot
Using Artificial Intelligence to Detect COVID-19 and Community-acquired Pneumonia Based on Pulmonary CT: Evaluation of the Diagnostic Accuracy
inferredcites →https://doi.org/10.1155/2020/8843664openalex-snapshot
Identifying COVID19 from Chest CT Images: A Deep Convolutional Neural Networks Based Approach
inferredcites →https://doi.org/10.1186/s40537-016-0043-6openalex-snapshot
A survey of transfer learning
inferredcites →https://doi.org/10.13140/rg.2.2.23461.32483openalex-snapshot
Classification of COVID-19 in CT Scans using Multi-Source Transfer Learning
inferredcites →https://doi.org/10.1371/journal.pone.0235187openalex-snapshot
New machine learning method for image-based diagnosis of COVID-19
inferredcites →https://doi.org/10.21037/atm-20-5328openalex-snapshot
Deep learning for differentiating novel coronavirus pneumonia and influenza pneumonia
inferredcites →https://doi.org/10.3201/eid2606.200239openalex-snapshot
Community Transmission of Severe Acute Respiratory Syndrome Coronavirus 2, Shenzhen, China, 2020
inferredcites →https://doi.org/10.3390/s19194139openalex-snapshot
Ensembles of Deep Learning Models and Transfer Learning for Ear Recognition
inferredcites →https://doi.org/10.3390/signals3020019openalex-snapshot
COVID-19 Detection from Radiographs: Is Deep Learning Able to Handle the Crisis?
inferredcites →https://doi.org/10.36227/techrxiv.12476426.v1openalex-snapshot
COVID19 detection from Radiographs: Is Deep Learning able to handle the crisis?
inferredcites →https://doi.org/10.48550/arxiv.1409.1556openalex-snapshot
Very Deep Convolutional Networks for Large-Scale Image Recognition
inferredcites →https://doi.org/10.48550/arxiv.1502.03167openalex-snapshot
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
inferredcites →https://doi.org/10.48550/arxiv.1602.07360openalex-snapshot
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size
inferredcites →https://doi.org/10.48550/arxiv.1608.08614openalex-snapshot
What makes ImageNet good for transfer learning?
inferredcites →https://doi.org/10.48550/arxiv.1711.05225openalex-snapshot
CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning
inferredcites →https://doi.org/10.48550/arxiv.1904.00962openalex-snapshot
Large Batch Optimization for Deep Learning: Training BERT in 76 minutes
inferredcites →https://doi.org/10.48550/arxiv.2003.04655openalex-snapshot
Lung Infection Quantification of COVID-19 in CT Images with Deep Learning
inferredcites →https://doi.org/10.48550/arxiv.2003.14395openalex-snapshot
COVID-ResNet: A Deep Learning Framework for Screening of COVID19 from Radiographs
inferredcites →https://doi.org/10.48550/arxiv.2007.11993openalex-snapshot
CVR-Net: A deep convolutional neural network for coronavirus recognition from chest radiography images
inferredcites →https://doi.org/10.48550/arxiv.2009.05096openalex-snapshot
COVID CT-Net: Predicting Covid-19 From Chest CT Images Using Attentional Convolutional Network
inferredcites →https://doi.org/10.57702/o9raffedopenalex-snapshot
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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An Effective Ensemble Deep Learning Approach for COVID-19 Detection Using InceptionV3 and Optimized Squeeze Net
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Hybrid feature extraction technique for automatic classification of COVID-19 chest CT images
inferred← citeshttps://doi.org/10.1088/1742-6596/3191/1/012104openalex-snapshot
Deep Learning-Based Classification of Covid-19 from Chest CT Scans: A Comparative Study of CNN Architectures
inferred← citeshttps://doi.org/10.1109/access.2021.3109441openalex-snapshot
Towards Explainable Ear Recognition Systems Using Deep Residual Networks
inferred← citeshttps://doi.org/10.1109/aiiot54504.2022.9817160openalex-snapshot
COVID-19 Prediction based on Infected Cases and Deaths of Bangladesh using Deep Transfer Learning
inferred← citeshttps://doi.org/10.1109/embc48229.2022.9871125openalex-snapshot
Triplet Loss-Based Models for COVID-19 Detection from Vocal Sounds
inferred← citeshttps://doi.org/10.1109/hora55278.2022.9799940openalex-snapshot
Patient gender identity information in Covid-19 severity detection on 3D chest CT scans via deep learning
inferred← citeshttps://doi.org/10.1109/ic2sdt62152.2024.10696628openalex-snapshot
Color Preservation of Lymphoblastic Cells Using Statistical Region Merging
inferred← citeshttps://doi.org/10.1109/icaaic56838.2023.10140204openalex-snapshot
Lung Infection and Identification using Heatmap
inferred← citeshttps://doi.org/10.1109/icassp39728.2021.9414185openalex-snapshot
CNR-IEMN: A Deep Learning Based Approach to Recognise Covid-19 from CT-Scan
inferred← citeshttps://doi.org/10.1109/icicnis64247.2024.10823337openalex-snapshot
Optimized Transfer Learning Model for Lung Cancer Stage Classification Using Computed Tomography Images
inferred← citeshttps://doi.org/10.1109/icict54344.2022.9850458openalex-snapshot
Deep Neural Network models for diagnosis of COVID-19 Respiratory diseases by analyzing CT-Scans and Explain-ability using trained models
inferred← citeshttps://doi.org/10.1109/icict54344.2022.9850529openalex-snapshot
Stage Wise Prediction of Covid-19 Pneumonia from CT images using VGG-16 and SVM
inferred← citeshttps://doi.org/10.1109/iciip53038.2021.9702596openalex-snapshot
Covid-19 Detection from CT-scan Images: Empirical Evaluation and Explainability
inferred← citeshttps://doi.org/10.1109/icosec54921.2022.9952147openalex-snapshot
Systematic Analysis of Several Deep Learning Approaches for COVID-19 Detection Using X-ray Images
inferred← citeshttps://doi.org/10.1109/icosnikom56551.2022.10034878openalex-snapshot
Hyperparameter Search for CT-Scan Classification Using Hyperparameter Tuning in Pre-Trained Model CNN With MLP
inferred← citeshttps://doi.org/10.1109/icscds53736.2022.9760995openalex-snapshot
An Efficient ResNet-50 based Intelligent Deep Learning Model to Predict Pneumonia from Medical Images
inferred← citeshttps://doi.org/10.1109/icsp54964.2022.9778429openalex-snapshot
COVID-19 detection based on Computer Vision and Big Data
inferred← citeshttps://doi.org/10.1109/icts52701.2021.9608160openalex-snapshot
Detection of Covid-19 from Chest CT Images Using Deep Transfer Learning
inferred← citeshttps://doi.org/10.1109/idicaihei65991.2025.11378765openalex-snapshot
Deep Learning for Detecting COVID-19 Using Google Teachable Machine on Chest X-Ray Images
inferred← citeshttps://doi.org/10.1109/iecbes54088.2022.10079453openalex-snapshot
NFNets-CNN for Classification of COVID-19 from CT Scan Images
inferred← citeshttps://doi.org/10.1109/ijcnn55064.2022.9892038openalex-snapshot
Multi-scale alignment and Spatial ROI Module for COVID-19 Diagnosis
inferred← citeshttps://doi.org/10.1109/incit60207.2023.10412944openalex-snapshot
Expert System for Initial Diagnosis of Covid-19 Using the Forward Chaining Method and Ripple Down Rules
inferred← citeshttps://doi.org/10.1109/incoft55651.2022.10094510openalex-snapshot
DL-based Visual Interpretability over Medical Images using StyleGAN
inferred← citeshttps://doi.org/10.1109/ismsit52890.2021.9604551openalex-snapshot
Covid-19 Ultrasound image classification using SVM based on kernels deduced from Convolutional neural network
inferred← citeshttps://doi.org/10.1109/jbhi.2021.3081355openalex-snapshot
Interpretable and Lightweight 3-D Deep Learning Model for Automated ACL Diagnosis
inferred← citeshttps://doi.org/10.1109/rbme.2022.3185953openalex-snapshot
Explainable Artificial Intelligence Methods in Combating Pandemics: A Systematic Review
inferred← citeshttps://doi.org/10.1109/sti56238.2022.10103293openalex-snapshot
An Empirical Study of Pre-Trained CNN Models on COVID-19 CT Scan Images
inferred← citeshttps://doi.org/10.1109/tai.2022.3224097openalex-snapshot
Deep-Learning-Based COVID-19 Detection: Challenges and Future Directions
inferred← citeshttps://doi.org/10.1109/tetci.2022.3224937openalex-snapshot
Semi-Supervised Multi-View Fusion for Identifying CAP and COVID-19 With Unlabeled CT Images
inferred← citeshttps://doi.org/10.1109/tim.2023.3267355openalex-snapshot
CdcSegNet: Automatic COVID-19 Infection Segmentation From CT Images
inferred← citeshttps://doi.org/10.1109/wincom59760.2023.10322985openalex-snapshot
CT-xCOV: a CT-scan based Explainable Framework for COVid-19 diagnosis
inferred← citeshttps://doi.org/10.1111/coin.12649openalex-snapshot
Detection of multi‐class lung diseases based on customized neural network
inferred← citeshttps://doi.org/10.1117/12.2581496openalex-snapshot
COVID-19 detection from scarce chest x-ray image data using few-shot deep learning approach
inferred← citeshttps://doi.org/10.1142/s0218001423570033openalex-snapshot
Classification of COVID-19 Patient Based on Multilayer Perceptron Neural Networks Optimized with Garra Rufa Fish Optimization Using CT Scan Images
inferred← citeshttps://doi.org/10.1142/s0219467825500044openalex-snapshot
Fine_Denseiganet: Automatic Medical Image Classification in Chest CT Scan Using Hybrid Deep Learning Framework
inferred← citeshttps://doi.org/10.1142/s0219467827500252openalex-snapshot
Medical Image Denoising Using a Novel Multilevel Convolutional Optimized Visual Attention Network in Diverse Dataset
inferred← citeshttps://doi.org/10.1155/2021/1296755openalex-snapshot
Diagnosis of COVID‐19 Using a Deep Learning Model in Various Radiology Domains
inferred← citeshttps://doi.org/10.1155/2021/2392395openalex-snapshot
[Retracted] A Robust and Novel Approach for Brain Tumor Classification Using Convolutional Neural Network
inferred← citeshttps://doi.org/10.1155/2021/7529893openalex-snapshot
Method for Diagnosis of Acute Lymphoblastic Leukemia Based on ViT‐CNN Ensemble Model
inferred← citeshttps://doi.org/10.1155/2022/1658615openalex-snapshot
Diagnosis of COVID-19 Disease in Chest CT-Scan Images Based on Combination of Low-Level Texture Analysis and MobileNetV2 Features
inferred← citeshttps://doi.org/10.1155/2022/2564022openalex-snapshot
ADA-COVID: Adversarial Deep Domain Adaptation-Based Diagnosis of COVID-19 from Lung CT Scans Using Triplet Embeddings
inferred← citeshttps://doi.org/10.1155/2022/4130674openalex-snapshot
Optimal Deep-Learning-Enabled Intelligent Decision Support System for SARS-CoV-2 Classification
inferred← citeshttps://doi.org/10.1155/2022/4254631openalex-snapshot
COVID-19 Classification from Chest X-Ray Images: A Framework of Deep Explainable Artificial Intelligence
inferred← citeshttps://doi.org/10.1155/2022/5998042openalex-snapshot
Radiological Analysis of COVID-19 Using Computational Intelligence: A Broad Gauge Study
inferred← citeshttps://doi.org/10.1155/2022/7377502openalex-snapshot
Ensemble Deep Learning and Internet of Things‐Based Automated COVID‐19 Diagnosis Framework
inferred← citeshttps://doi.org/10.1155/2023/6070970openalex-snapshot
Deep SVDD and Transfer Learning for COVID‐19 Diagnosis Using CT Images
inferred← citeshttps://doi.org/10.11591/ijeecs.v24.i2.pp1074-1083openalex-snapshot
Morphological characteristics of X-ray thorax images of COVID-19 patients using the Bradley thresholding segmentation
inferred← citeshttps://doi.org/10.1371/journal.pone.0292587openalex-snapshot
Ensemble learning for multi-class COVID-19 detection from big data
inferred← citeshttps://doi.org/10.1371/journal.pone.0296352openalex-snapshot
RETRACTED: Multi-modal deep learning methods for classification of chest diseases using different medical imaging and cough sounds
inferred← citeshttps://doi.org/10.1371/journal.pone.0327419openalex-snapshot
RETRACTED: LGD_Net: Capsule network with extreme learning machine for classification of lung diseases using CT scans
inferred← citeshttps://doi.org/10.14569/ijacsa.2022.0131196openalex-snapshot
COVIDnet: An Efficient Deep Learning Model for COVID-19 Diagnosis on Chest CT Images
inferred← citeshttps://doi.org/10.18280/ts.410329openalex-snapshot
Advancing Biometric Identity Recognition with Optimized Deep Convolutional Neural Networks
inferred← citeshttps://doi.org/10.20944/preprints202309.1746.v1openalex-snapshot
Recent Machine Learning and Deep Learning Theories and Methods for COVID-19 Diagnosis
inferred← citeshttps://doi.org/10.20944/preprints202309.1746.v2openalex-snapshot
Recent Machine Learning and Deep Learning Theories and Methods for COVID-19 Diagnosis
inferred← citeshttps://doi.org/10.21015/vtcs.v14i1.2220openalex-snapshot
LIME-based Explainable AI classifier to detect COVID-19 pandemic through X-ray images
inferred← citeshttps://doi.org/10.21037/qims-24-1808openalex-snapshot
A comparative analysis of sagittal, coronal, and axial magnetic resonance imaging planes in diagnosing anterior cruciate ligament and meniscal tears via a deep learning model: emphasizing the unexpected importance of the axial plane
inferred← citeshttps://doi.org/10.21203/rs.3.rs-1541093/v1openalex-snapshot
Classification of Covid-19 Effected CT Images using a Hybrid Approach Based on Deep Transfer Learning and Machine Learning
inferred← citeshttps://doi.org/10.21203/rs.3.rs-1683916/v1openalex-snapshot
An Effective Hybrid Deep Learning Technique for Covid-19 Detection Using InceptionV3 and optimized Squeeze Net
inferred← citeshttps://doi.org/10.21203/rs.3.rs-3357602/v1openalex-snapshot
An Intelligent Computational Model with Dynamic Mode Decomposition and Attention Features for COVID-19 Detection from CT Scan Images
inferred← citeshttps://doi.org/10.21203/rs.3.rs-3688115/v1openalex-snapshot
COVLIAS 3.0 XEDL : Multicentre, Cloud-Based, Explainable Ensemble Artificial Intelligence Deep Learning System for COVID- 19 in Computed Tomography Scans
inferred← citeshttps://doi.org/10.21437/interspeech.2021-1052openalex-snapshot
Cough-Based COVID-19 Detection with Contextual Attention Convolutional Neural Networks and Gender Information
inferred← citeshttps://doi.org/10.23939/ujit2024.01.095openalex-snapshot
Review of disease identification methods based on computed tomography imagery
inferred← citeshttps://doi.org/10.24294/jipd.v8i5.2955openalex-snapshot
A perspective overview of the influence of the COVID-19 pandemic on the educational sector
inferred← citeshttps://doi.org/10.3233/atde221307openalex-snapshot
X-Ray Image Classification for COVID-19 Using Transfer Learning
inferred← citeshttps://doi.org/10.3233/jifs-222863openalex-snapshot
Multi-modal approach for COVID-19 detection using coughs and self-reported symptoms
inferred← citeshttps://doi.org/10.32604/cmc.2022.019496openalex-snapshot
Covid-19 Detection from Chest X-Ray Images Using Advanced Deep Learning Techniques
inferred← citeshttps://doi.org/10.32604/cmc.2022.021149openalex-snapshot
Semantic Information Extraction from Multi-Corpora Using Deep Learning
inferred← citeshttps://doi.org/10.32604/cmc.2023.036401openalex-snapshot
Residual Feature Attentional Fusion Network for Lightweight Chest CT Image Super-Resolution
inferred← citeshttps://doi.org/10.32604/cmes.2021.017679openalex-snapshot
A Survey on Machine Learning in COVID-19 Diagnosis
inferred← citeshttps://doi.org/10.32604/csse.2023.037131openalex-snapshot
An Automated Classification Technique for COVID-19 Using Optimized Deep Learning Features
inferred← citeshttps://doi.org/10.32604/iasc.2022.024812openalex-snapshot
Deep Neural Network Based Vehicle Detection and Classification of Aerial Images
inferred← citeshttps://doi.org/10.3389/fgene.2022.980338openalex-snapshot
Detecting COVID-19 infection status from chest X-ray and CT scan via single transfer learning-driven approach
inferred← citeshttps://doi.org/10.3389/fmed.2023.1180773openalex-snapshot
Explainable artificial intelligence (XAI) in radiology and nuclear medicine: a literature review
inferred← citeshttps://doi.org/10.3389/fpubh.2022.1046296openalex-snapshot
COVID-19 classification using chest X-ray images based on fusion-assisted deep Bayesian optimization and Grad-CAM visualization
inferred← citeshttps://doi.org/10.3389/fpubh.2022.901294openalex-snapshot
A Secure Artificial Intelligence-Enabled Critical Sars Crisis Management Using Random Sigmoidal Artificial Neural Networks
inferred← citeshttps://doi.org/10.3389/fpubh.2022.948205openalex-snapshot
COVID-19 classification using chest X-ray images: A framework of CNN-LSTM and improved max value moth flame optimization
inferred← citeshttps://doi.org/10.3390/a14060183openalex-snapshot
The Practicality of Deep Learning Algorithms in COVID-19 Detection: Application to Chest X-ray Images
inferred← citeshttps://doi.org/10.3390/a16100494openalex-snapshot
COVID-19 Detection from Chest X-ray Images Based on Deep Learning Techniques
inferred← citeshttps://doi.org/10.3390/ai2030020openalex-snapshot
COVID-19 Diagnosis from Chest CT Scans: A Weakly Supervised CNN-LSTM Approach
inferred← citeshttps://doi.org/10.3390/app112411902openalex-snapshot
A Dual-Stage Vocabulary of Features (VoF)-Based Technique for COVID-19 Variants’ Classification
inferred← citeshttps://doi.org/10.3390/app13042378openalex-snapshot
COVID-19 Detection Model with Acoustic Features from Cough Sound and Its Application
inferred← citeshttps://doi.org/10.3390/bioengineering9110698openalex-snapshot
Diverse COVID-19 CT Image-to-Image Translation with Stacked Residual Dropout
inferred← citeshttps://doi.org/10.3390/biology11010043openalex-snapshot
Deep Ensemble Model for COVID-19 Diagnosis and Classification Using Chest CT Images
inferred← citeshttps://doi.org/10.3390/biology14080909openalex-snapshot
Explainable AI for Oral Cancer Diagnosis: Multiclass Classification of Histopathology Images and Grad-CAM Visualization
inferred← citeshttps://doi.org/10.3390/biomedinformatics3030045openalex-snapshot
Deep Learning and Federated Learning for Screening COVID-19: A Review
inferred← citeshttps://doi.org/10.3390/cancers13092001openalex-snapshot
Machine Learning for Prediction of Survival Outcomes with Immune-Checkpoint Inhibitors in Urothelial Cancer
inferred← citeshttps://doi.org/10.3390/computation12040066openalex-snapshot
COVID-19 Image Classification: A Comparative Performance Analysis of Hand-Crafted vs. Deep Features
inferred← citeshttps://doi.org/10.3390/diagnostics12123171openalex-snapshot
Preliminary Stages for COVID-19 Detection Using Image Processing
inferred← citeshttps://doi.org/10.3390/diagnostics13111954openalex-snapshot
Ensemble Deep Learning Derived from Transfer Learning for Classification of COVID-19 Patients on Hybrid Deep-Learning-Based Lung Segmentation: A Data Augmentation and Balancing Framework
inferred← citeshttps://doi.org/10.3390/electronics11234008openalex-snapshot
A Lightweight CNN and Class Weight Balancing on Chest X-ray Images for COVID-19 Detection
inferred← citeshttps://doi.org/10.3390/healthcare11172388openalex-snapshot
A Systematic Review on Deep Structured Learning for COVID-19 Screening Using Chest CT from 2020 to 2022
inferred← citeshttps://doi.org/10.3390/info15040182openalex-snapshot
Bridging the Gap: Exploring Interpretability in Deep Learning Models for Brain Tumor Detection and Diagnosis from MRI Images
inferred← citeshttps://doi.org/10.3390/jcm10245982openalex-snapshot
A Deep Learning Ensemble Approach for Automated COVID-19 Detection from Chest CT Images
inferred← citeshttps://doi.org/10.3390/jpm11111172openalex-snapshot
Facial Recognition Intensity in Disease Diagnosis Using Automatic Facial Recognition
inferred← citeshttps://doi.org/10.3390/s21175878openalex-snapshot
Recognition of COVID-19 from CT Scans Using Two-Stage Deep-Learning-Based Approach: CNR-IEMN
inferred← citeshttps://doi.org/10.3390/s21238045openalex-snapshot
Role of Artificial Intelligence in COVID-19 Detection
inferred← citeshttps://doi.org/10.3390/s22197303openalex-snapshot
COVID-19 Detection on Chest X-ray and CT Scan: A Review of the Top-100 Most Cited Papers
inferred← citeshttps://doi.org/10.3390/s24092830openalex-snapshot
DeepChestGNN: A Comprehensive Framework for Enhanced Lung Disease Identification through Advanced Graphical Deep Features
inferred← citeshttps://doi.org/10.3390/signals3020019openalex-snapshot
COVID-19 Detection from Radiographs: Is Deep Learning Able to Handle the Crisis?
inferred← citeshttps://doi.org/10.3390/su132413642openalex-snapshot
Evaluating the Impact of COVID-19 on Society, Environment, Economy, and Education
inferred← citeshttps://doi.org/10.3390/sym14010016openalex-snapshot
Data-Driven Analytics Leveraging Artificial Intelligence in the Era of COVID-19: An Insightful Review of Recent Developments
inferred← citeshttps://doi.org/10.3390/tomography8020071openalex-snapshot
EDNC: Ensemble Deep Neural Network for COVID-19 Recognition
inferred← citeshttps://doi.org/10.3390/v14081667openalex-snapshot
Novel Coronavirus and Common Pneumonia Detection from CT Scans Using Deep Learning-Based Extracted Features
inferred← citeshttps://doi.org/10.3390/v16060905openalex-snapshot
Lung Ultrasonography in the Evaluation of Late Sequelae of COVID-19 Pneumonia—A Comparison with Chest Computed Tomography: A Prospective Study
inferred← citeshttps://doi.org/10.36548/jiip.2026.1.001openalex-snapshot
SmartCovNet: An Intelligent ResNet-50 and Novel Neural Classifier Structure for COVID-19 Discovery Via CT Imageries
inferred← citeshttps://doi.org/10.37256/cm.4420232496openalex-snapshot
Analysis of Deep Learning Methods for Healthcare Sector - Medical Imaging Disease Detection
inferred← citeshttps://doi.org/10.37934/araset.47.1.206218openalex-snapshot
Lung Infection Detection via CT Images and Transfer Learning Techniques in Deep Learning
inferred← citeshttps://doi.org/10.3846/mla.2025.23905openalex-snapshot
Detection of pneumonia from chest X-rays using convolutional neural networks
inferred← citeshttps://doi.org/10.3934/mbe.2023294openalex-snapshot
Data augmentation based semi-supervised method to improve COVID-19 CT classification
inferred← citeshttps://doi.org/10.4018/979-8-3373-0593-6.ch007openalex-snapshot
Explainable AI and Computational Modeling for Real-Time COVID-19 Detection Using Medical Imaging
inferred← citeshttps://doi.org/10.4018/979-8-3693-3218-4.ch002openalex-snapshot
Advancements in Medical Robotics and AI-Assisted Diagnostics
inferred← citeshttps://doi.org/10.4103/jmss.jmss_84_20openalex-snapshot
COVID-19 and MERS: Are their chest X-ray and computed tomography scanning signs related?
inferred← citeshttps://doi.org/10.47852/bonviewaia3202853openalex-snapshot
Comparison of Deep Learning Techniques in Detection of Sickle Cell Disease
inferred← citeshttps://doi.org/10.47897/bilmes.1359954openalex-snapshot
Examining The Effect of Pre-processed Covid-19 Images On Classification Performance Using Deep Learning Method
inferred← citeshttps://doi.org/10.48084/etasr.13722openalex-snapshot
Optimizing ResNet50 for Medical Image Classification: A Comparative Study of Ghost Modules, Pruning, and Knowledge Distillation
inferred← citeshttps://doi.org/10.48550/arxiv.2102.10593openalex-snapshot
Classification of COVID-19 via Homology of CT-SCAN
inferred← citeshttps://doi.org/10.53898/josse2024415openalex-snapshot
Development and Validation of a Diagnosis System for Lung Infection Using Hybrid Deep-Learning Techniques
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