Can AI Help in Screening Viral and COVID-19 Pneumonia?

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3. A Review of Deep Learning Imaging Diagnostic Methods for COVID-19
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4. COVID-19 chest X-ray image analysis by threshold-based segmentation
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5. Self-Assessment of Having COVID-19 With the Corona Check mHealth App
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6. Detecting COVID-19 from Chest X-rays Using Convolutional Neural Network Ensembles
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7. Image Enhancement CNN Approach to COVID-19 Detection Using Chest X-ray Images
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8. Effect of Different Batch Size Parameters on Predicting of COVID19 Cases
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9. A Comparative Study of Deep Learning Networks for COVID-19 Recognition in Chest X-ray Images
   Sabrina Nefoussi, Abdenour Amamra, Idir Amine Amarouche · 2021 · International Workshop on Human-Centric Smart Environments for Health and Well-being (IHSH)
10. An Ensemble Learning Framework For Multi-Class Covid-19 Lesion Segmentation From Chest Ct Images
    Nastaran Enshaei, Parnian Afshar, Shahin Heidarian, Arash Mohammadi, Moezedin Javad Rafiee, Anastasia Oikonomou, Faranak Babaki Fard, Konstantinos N. Plataniotis, Farnoosh Naderkhani · 2021 · IEEE International Conference on Autonomous Systems (ICAS)
11. COVID-19 Identification from Low-Quality Computed Tomography Using a Modified Enhanced Super-Resolution Generative Adversarial Network Plus and Siamese Capsule Network
    Grace Ugochi Nneji, Jianhua Deng, Happy Nkanta Monday, Md Altab Hossin, Sandra Chukwudumebi Obiora, Saifun Nahar, Jingye Cai · 2022 · Healthcare
12. LungAI: A Deep Learning Convolutional Neural Network for Automated Detection of COVID-19 from Posteroanterior Chest X-Rays
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13. Fast deep learning computer-aided diagnosis of COVID-19 based on digital chest x-ray images
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14. Deep Learning Approaches for Detecting COVID-19 from Chest X-ray Images: A Survey (Preprint)
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15. Pmir: an efficient privacy-preserving medical images search in cloud-assisted scenario
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16. Tibia-YOLO: An AssistedDetection System Combined with Industrial CT Equipment for Leg Diseases in Broilers
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17. A System to Classify Chronic Obstructive Pulmonary Disease using Pre-trained-Densenet201 with TSA
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18. Efficient COVID-19 Detection using Optimized MobileNetV3-Small with SRGAN for Web Application
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19. Gradual poisoning of a chest x-ray convolutional neural network with an adversarial attack and AI explainability methods
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20. FLEM-XAI: Federated learning based real time ensemble model with explainable AI framework for an efficient diagnosis of lung diseases
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21. Multi-class deep learning architecture for COVID-19, tuberculosis, and pneumonia classification using chest X-ray images
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22. A Survey of the Application of Explainable Artificial Intelligence in Biomedical Informatics
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23. A Histogram-Based Low-Complexity Approach for the Effective Detection of COVID-19 Disease from CT and X-ray Images
    Michele Scarpiniti, Sima Sarv Ahrabi, Enzo Baccarelli, Lorenzo Piazzo, Alireza Momenzadeh · 2021 · Applied Sciences
24. Machine learning algorithms for predicting the risk of chronic kidney disease in type 1 diabetes patients: a retrospective longitudinal study
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25. Efficient In-Context Medical Segmentation with Meta-Driven Visual Prompt Selection
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26. Towards good practice for convolution and attention with PANs in federated medical image classification
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27. MEDBind: Unifying Language and Multimodal Medical Data Embeddings
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28. Compact DINO-ViT: Feature Reduction for Visual Transformer
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29. The Data Heterogeneity Issue Regarding COVID-19 Lung Imaging in Federated Learning: An Experimental Study
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30. Run length encoding based wavelet features for COVID-19 detection in X-rays
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31. Evaluation of Machine Learning Architectures in Healthcare
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32. COVID-19 detection from chest X-rays using transfer learning with deep convolutional neural networks
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33. Detail-Oriented Capsule Network for classification of CT scan images performing the detection of COVID-19
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34. Contribution of Deep-Learning Techniques Toward Fighting COVID-19: A Bibliometric Analysis of Scholarly Production During 2020
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35. COVID-19 Pulmonary Lesion Classification Using CNN Software in Chest X-ray with Quadrant Scoring Severity Parameters
    Denisse N. Niles, Daniel A. Amaguaña, Alejandro B. Lojan, Graciela Marisa Salum, Fernando Villalba-Meneses, Andrés Tirado-Espín, O. Alvarado-Cando, Adriana Paola Noboa Jaramillo, Diego A. Almeida-Galárraga · 2022 · Communications in computer and information science
36. A Review of Recent Deep Learning Models in COVID-19 Diagnosis
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37. CoviDetNet : A new COVID ‐19 diagnostic system based on deep features of chest x‐ray
    Muzaffer Aslan · 2022 · International Journal of Imaging Systems and Technology
38. Comparison of image enhancement techniques and CNN models for COVID-19 classification using chest x-rays images
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39. Contemporary Study on Deep Neural Networks to Diagnose COVID-19 Using Digital Posteroanterior X-ray Images
    Saad Akbar, Humera Tariq, Muhammad Fahad, Ghufran Ahmed, Hassan Jamil Syed · 2022 · Electronics
40. Designing Hybrid CNN-SVM Model for COVID-19 Classification Based on X-ray Images Using LGBM Feature Selection
    Sri Hastuti Anwa Hartini, Zuherman Rustam, Rahmat Sigit Hidayat · 2022 · International Journal on Advanced Science Engineering and Information Technology
41. COVID-19 classification using CNN-BiLSTM based on chest X-ray images
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42. In Search of an Efficient and Reliable Deep Learning Model for Identification of COVID-19 Infection from Chest X-ray Images
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43. Multi-Disease Prediction System using Machine Learning
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44. Bibliometric analysis of the use of artificial intelligence in COVID‐19 based on scientific studies
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45. Dynamically Synthetic Images for Federated Learning of medical images
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46. PulmonU-Net: a semantic lung disease segmentation model leveraging the benefit of multiscale feature concatenation and leaky ReLU
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47. Res-MGCA-SE: a lightweight convolutional neural network based on vision transformer for medical image classification
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48. A Study on Co-occurrence of various Lung Diseases and COVID-19 by observing Chest X-Ray Similarity using Deep Convolutional Neural Networks
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49. Artificial Intelligence and Machine Learning as a Tool for Combating COVID-19: A Case Study on Health-Tech Start-ups
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50. Indirect supervision applied to COVID-19 and pneumonia classification
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51. CLAHE based Enhancement to Transfer Learning in COVID-19 Detection
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52. Development and validation of bone-suppressed deep learning classification of COVID-19 presentation in chest radiographs
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53. LW‐CovidNet: Automatic covid‐19 lung infection detection from chest X‐ray images
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54. Few-Shot Learning based on Residual Neural Networks for X-ray Image Classification
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55. COVID-19 Detection From Chest Radiographs Using Machine Learning and Convolutional Neural Networks
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56. An Effective Approach for Automatic COVID-19 Detection from Multiple Image Sources Using Shufflenet Convolutional Neural Network (CNN)
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57. Pulmonary Hypertension Classification using Artificial Intelligence and Chest X-Ray:ATA AI STUDY-1
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58. Visual Interpretable and Explainable Deep Learning Models for Brain Tumor MRI and COVID-19 Chest X-ray Images
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59. Discriminative Approach Lung Diseases and COVID-19 from Chest X-Ray Images Using Convolutional Neural Networks: A Promising Approach for Accurate Diagnosis
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60. Automated detection of posterior urethral valves in voiding cystourethrography images: A novel AI-Based pipeline for enhanced diagnosis and classification
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61. Classification of CT scan and X-ray dataset based on deep learning and particle swarm optimization
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62. Novel Pooling-Based VGG-Lite for Pneumonia and Covid-19 Detection From Imbalanced Chest X-Ray Datasets
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63. HyCoViT: Hybrid Convolution Vision Transformer With Dynamic Dropout for Enhanced Medical Chest X-Ray Classification
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64. Enhanced COVID-19 detection from chest X-rays using ERBMAHE and a channel attention-based hybrid CNN model
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65. Self-Attention Diffusion Models for Zero-Shot Biomedical Image Segmentation: Unlocking New Frontiers in Medical Imaging
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66. A survey on electronic health record driven multimodal representation learning
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67. A Simplified Convolutional Neural Network Design for COVID-19 Classification on Chest X-ray Images
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68. Empirical Analysis of Machine Learning and Deep Learning Techniques for COVID-19 Detection Using Chest X-rays
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69. LayNet—A multi-layer architecture to handle imbalance in medical imaging data
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70. Lung-Related Diseases Classification Using Deep Convolutional Neural Network
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71. HDSNE a new unsupervised multiple image database fusion learning algorithm with flexible and crispy production of one database: a proof case study of lung infection diagnose In chest X-ray images
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72. A pyramid GNN model for CXR-based COVID-19 classification
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73. Deep learning models/techniques for COVID-19 detection: a survey
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74. Deep Transfer Learning for Detecting Covid-19, Pneumonia and Tuberculosis Using Cxr Images – A Review
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75. Deep convolutional neural network (CNN) model optimization techniques—Review for medical imaging
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76. Leveraging Deep Embeddings for Explainable Medical Image Analysis
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77. Disease-Informed Adaptation of Vision-Language Models
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78. A latent diffusion approach to visual attribution in medical imaging
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79. A Convolutional Neural Network (CNN) Based Framework for Enhanced Diagnosis and Classification of COVID-19 Pneumonia
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80. Are Artificial Intelligence (AI) And Machine Learning (ML) Having An Effective Role In Helping Humanity Address The New Coronavirus Pandemic?
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81. A Comprehensive Review on Artificial Intelligence Techniques for Covid-19 Pandemic
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82. AI-Empowered Computational Examination of Chest Imaging for COVID-19 Treatment: A Review
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83. COVID-19 Detection from Chest X-Rays and CT Scans using Dilated Convolutional Neural Networks
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84. KL-MOB: automated COVID-19 recognition using a novel approach based on image enhancement and a modified MobileNet CNN
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85. Advanced 3D Deep Non-Local Embedded System for Self-Augmented X-Ray-based COVID-19 Assessment
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86. Cryptonomial: A Framework for Private Time-Series Polynomial Calculations
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87. Modern digital techniques for monitoring and analysis
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88. Automated Diagnosis of Childhood Pneumonia in Chest Radiographs Using Modified Densely Residual Bottleneck-Layer Features
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89. COVID-19 and Other Lung Disease Detection Using VGG19 Pretrained Features and Support Vector Machine
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90. WMR-DepthwiseNet: A Wavelet Multi-Resolution Depthwise Separable Convolutional Neural Network for COVID-19 Diagnosis
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91. Analysis of Chest X‐Ray Images for the Recognition of COVID‐19 Symptoms Using CNN
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92. Bag of Tricks for Improving Deep Learning Performance on Multimodal Image Classification
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93. Multithreshold Segmentation and Machine Learning Based Approach to Differentiate COVID-19 from Viral Pneumonia
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94. The Comparison of SVM and ANN Classifier for COVID-19 Prediction
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95. A unique deep-learning-based model with chest x-ray image for diagnosing COVID-19
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96. Artificial Intelligence and Deep Learning Assisted Rapid Diagnosis of COVID‐19 from Chest Radiographical Images: A Survey
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97. Detection of Covid-19 from the Chest X-Ray Images: A Comparison Study between CNN and Resnet-50
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98. VGG-FusionNet: A Feature Fusion Framework from CT scan and Chest X-ray Images based Deep Learning for COVID-19 Detection
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99. Artificial intelligence centric scientific research on COVID-19: an analysis based on scientometrics data
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100. COVID-19 Diagnosis in Computerized Tomography (CT) and X-ray Scans Using Capsule Neural Network
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