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

Cited by (1,005)

Items 401–500 of 1,005

  1. Deep learning model for detection of COVID-19 utilizing the chest X-ray images
    Shahanaz Abdul Gafoor, Niranjana Sampathila, M. Madhushankara, K. S. Swathi · 2022 · Cogent Engineering
  2. HipXNet: Deep Learning Approaches to Detect Aseptic Loos-Ening of Hip Implants Using X-Ray Images
    Tawsifur Rahman, Amith Abdullah Khandakar, Khandaker Reajul Islam, Md Mohiuddin Soliman, Mohammad Tariqul Islam, Ahmed M. Elsayed, Yazan Qiblawey, Sakib Mahmud, Ashiqur Rahman, Farayi Musharavati et al. · 2022 · IEEE Access
  3. Temporal Context Matters: Enhancing Single Image Prediction with Disease Progression Representations
    Aishik Konwer, Xuan Xu, Joseph Bae, Chao Chen, Prateek Prasanna · 2022 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  4. The Detection of COVID-19 in Chest X-rays Using Ensemble CNN Techniques
    Domantas Kuzinkovas, Sandhya Clement · 2023 · Information
  5. Improving explainable AI with patch perturbation-based evaluation pipeline: a COVID-19 X-ray image analysis case study
    Jimin Sun, Wenqi Shi, Felipe Giuste, Yog S. Vaghani, Lingzi Tang, May Dongmei Wang · 2023 · Scientific Reports
  6. StackNet-DenVIS: a multi-layer perceptron stacked ensembling approach for COVID-19 detection using X-ray images
    Pratik Autee, Sagar Bagwe, Vimal Shah, Kriti Srivastava · 2020 · Physical and Engineering Sciences in Medicine
  7. Comparative Analysis of COVID-19 X-ray Images Classification Using Convolutional Neural Network, Transfer Learning, and Machine Learning Classifiers Using Deep Features
    Rekha Rajagopal · 2021 · Pattern Recognition and Image Analysis
  8. The Applications of Artificial Intelligence in Chest Imaging of COVID-19 Patients: A Literature Review
    Maria Elena Laino, Angela Ammirabile, Alessandro Posa, Pierandrea Cancian, Sherif Y. Shalaby, Victor Savevski, Emanuele Neri · 2021 · Diagnostics
  9. Automatic Diagnosis of COVID-19 Using a tailored Transformer-Like Network
    Chengeng Liu, Qingshan Yin · 2021 · Journal of Physics Conference Series
  10. Chest X-Ray Image to Classify Lung diseases in Different Resolution Size using DenseNet-121 Architectures
    Ovy Rochmawanti, Fitri Utaminingrum · 2021 · International Conference on Sustainable Information Engineering and Technology (SIET)
  11. Classification of Covid-19 chest X-ray images by means of an interpretable evolutionary rule-based approach
    Ivanoe De Falco, Giuseppe De Pietro, Giovanna Sannino · 2022 · Neural Computing and Applications
  12. COVID-CCD-Net: COVID-19 and colon cancer diagnosis system with optimized CNN hyperparameters using gradient-based optimizer
    Soner Kızıloluk, Eser Sert · 2022 · Medical & Biological Engineering & Computing
  13. Efficient Framework for Detection of COVID-19 Omicron and Delta Variants Based on Two Intelligent Phases of CNN Models
    Mustafa Ghaderzadeh, Mohammad Amir Eshraghi, Farkhondeh Asadi, Azamossadat Hosseini, Ramezan Jafari, Davood Bashash, Hassan Abolghasemi · 2022 · Computational and Mathematical Methods in Medicine
  14. Detection of COVID ‐19 from chest X‐ray images: Boosting the performance with convolutional neural network and transfer learning
    Sohaib Asif, Wenhui Yi, Kamran Amjad, Jin Hou, Yi Tao, Jinhai Si · 2022 · Expert Systems
  15. An AI-based disease detection and prevention scheme for COVID-19
    Sudeep Tanwar, Aparna Kumari, Darshan Vekaria, Neeraj Kumar, Ravi Sharma · 2022 · Computers & Electrical Engineering
  16. Deep Attention Network for Pneumonia Detection Using Chest X-Ray Images
    Sukhendra Singh, Sur Singh Rawat, Manoj Gupta, Bipin Kumar Tripathi, Faisal Alanzi, Arnab Majumdar, Pattaraporn Khuwuthyakorn, Orawit Thinnukool · 2022 · Computers, materials & continua/Computers, materials & continua (Print)
  17. A Survey on AI Techniques for Thoracic Diseases Diagnosis Using Medical Images
    Fatma A. Mostafa, Lamiaa A. Elrefaei, Mostafa M. Fouda, Aya Hossam · 2022 · Diagnostics
  18. Generalizable disease detection using model ensemble on chest X-ray images
    Maider Abad, Jordi Casas-Roma, Ferrán Prados · 2024 · Scientific Reports
  19. Quantum Fuzzy Federated Learning for Privacy Protection in Intelligent Information Processing
    Zhiguo Qu, Lailei Zhang, Prayag Tiwari · 2024 · IEEE Transactions on Fuzzy Systems
  20. ChxCapsNet: Deep capsule network with transfer learning for evaluating pneumonia in paediatric chest radiographs
    Jyostna Devi Bodapati, Venigalla Rohith · 2021 · Measurement
  21. Study of Different Deep Learning Methods for Coronavirus (COVID-19) Pandemic: Taxonomy, Survey and Insights
    Lamia Awassa, Imen Jdey, Habib Dhahri, Ghazala Hcini, Awais Mahmood, Esam Mohammed Asem Othman, Muhammad Haneef · 2022 · Sensors
  22. Diagnosis of COVID-19 using chest X-ray images based on modified DarkCovidNet model
    Dawit Kiros Redie, Abdulhakim Edao Sirko, Tensaie Melkamu Demissie, Semagn Sisay Teferi, Vimal Kumar Shrivastava, Om Prakash Verma, Tarun Kumar Sharma · 2022 · Evolutionary Intelligence
  23. Combating COVID-19 Using Generative Adversarial Networks and Artificial Intelligence for Medical Images: Scoping Review
    Hazrat Ali, Zubair Shah · 2022 · JMIR Medical Informatics
  24. EVAE-Net: An Ensemble Variational Autoencoder Deep Learning Network for COVID-19 Classification Based on Chest X-ray Images
    Daniel Addo, Shijie Zhou, Jehoiada Kofi Jackson, Grace Ugochi Nneji, Happy Nkanta Monday, Kwabena Sarpong, Rutherford Agbeshi Patamia, Favour Ekong, Christyn Akosua Owusu-Agyei · 2022 · Diagnostics
  25. Diagnosis of heart failure from imbalance datasets using multi-level classification
    Dengao Li, Chao Zheng, Jumin Zhao, Yi Liu · 2022 · Biomedical Signal Processing and Control
  26. Explainable COVID-19 Detection Based on Chest X-rays Using an End-to-End RegNet Architecture
    Mohamed Chetoui, Moulay A. Akhloufi, El Mostafa Bouattane, Joseph Abdulnour, Stephane Roux, Chantal D’Aoust Bernard · 2023 · Viruses
  27. A web-based Diagnostic Tool for COVID-19 Using Machine Learning on Chest Radiographs (CXR)
    Evariste B. Gueguim Kana, M. G. Zebaze Kana, Armand F. Donfack Kana, R.H. Azanfack Kenfack · 2020 · medRxiv
  28. CVR-Net: A deep convolutional neural network for coronavirus recognition from chest radiography images
    Md. Kamrul Hasan, Md. Ashraful Alam, Md. Toufick E Elahi, Shidhartho Roy, Sifat Redwan Wahid · 2020 · arXiv (Cornell University)
  29. Deep learning for report generation on chest X-ray images
    Ouis, Mohammed Yasser, A. Akhloufi, Moulay · 2024 · Computerized Medical Imaging and Graphics
  30. Concatenated CNN-Based Pneumonia Detection Using a Fuzzy-Enhanced Dataset
    Abror Shavkatovich Buriboev, Dilnoz Muhamediyeva, Holida Primova, Djamshid Sultanov, Tashev Komil Akhmatovich, Heung Seok Jeon · 2024 · Sensors
  31. CAE-COVIDX: automatic covid-19 disease detection based on x-ray images using enhanced deep convolutional and autoencoder
    Muh Hanafi, Andri Pranolo, Yingchi Mao · 2021 · International Journal of Advances in Intelligent Informatics
  32. A morphology-based radiological image segmentation approach for efficient screening of COVID-19
    Shouvik Chakraborty, Kalyani Mali · 2021 · Biomedical Signal Processing and Control
  33. Fusion of intelligent learning for COVID-19: A state-of-the-art review and analysis on real medical data
    Weiping Ding, Janmenjoy Nayak, H. Swapnarekha, Ajith Abraham, Bighnaraj Naik, Danilo Pelusi · 2021 · Neurocomputing
  34. COVID‐19 Detection Using Deep Convolutional Neural Networks and Binary Differential Algorithm‐Based Feature Selection from X‐Ray Images
    Mohammad Saber Iraji, Mohammad-Reza Feizi-Derakhshi, Jafar Tanha · 2021 · Complexity
  35. Ensemble Deep Learning for the Detection of COVID-19 in Unbalanced Chest X-ray Dataset
    Khin Yadanar Win, Noppadol Maneerat, Syna Sreng, Kazuhiko Hamamoto · 2021 · Applied Sciences
  36. Deep multi-view feature learning for detecting COVID-19 based on chest X-ray images
    Hamidreza Hosseinzadeh · 2022 · Biomedical Signal Processing and Control
  37. Pneumonia Transfer Learning Deep Learning Model from Segmented X-rays
    Amal H. Alharbi, Hanan A. Hosni Mahmoud · 2022 · Healthcare
  38. A comprehensive review of COVID-19 detection techniques: From laboratory systems to wearable devices
    Khalid A. Alyafei, Rashid Ahmed, Farhan Fuad Abir, Muhammad E. H. Chowdhury, Khalid K. Naji · 2022 · Computers in Biology and Medicine
  39. A multi-class classification framework for disease screening and disease diagnosis of COVID-19 from chest X-ray images
    Ebenezer Jangam, Chandra Sekhara Rao Annavarapu, Aaron Antonio Dias Barreto · 2022 · Multimedia Tools and Applications
  40. Recommender System for the Efficient Treatment of COVID-19 Using a Convolutional Neural Network Model and Image Similarity
    Madhusree Kuanr, Puspanjali Mohapatra, Sanchi Mittal, Mahesh A. Maindarkar, Mostafa M. Fouda, Luca Saba, Sanjay Saxena, Jasjit S. Suri · 2022 · Diagnostics
  41. ResNetFed: Federated Deep Learning Architecture for Privacy-Preserving Pneumonia Detection from COVID-19 Chest Radiographs
    Pascal Riedel, Reinhold von Schwerin, Daniel Schaudt, Alexander Hafner, Christian Späte · 2023 · Journal of Healthcare Informatics Research
  42. Automated COVID-19 detection with convolutional neural networks
    Aphelele Dumakude, Absalom El-Shamir Ezugwu · 2023 · Scientific Reports
  43. Federated Semi-Supervised Learning with Inter-Client Consistency.
    Wonyong Jeong, Jaehong Yoon, Eunho Yang, Sung Ju Hwang · 2020 · arXiv (Cornell University)
  44. Large-scale long-tailed disease diagnosis on radiology images
    Qiaoyu Zheng, Weike Zhao, Chaoyi Wu, Xiaoman Zhang, Lisong Dai, Hengyu Guan, Yuehua Li, Ya Zhang, Yanfeng Wang, Weidi Xie · 2024 · Nature Communications
  45. Computed Tomography Image Processing Analysis in COVID-19 Patient Follow-Up Assessment
    Santiago Tello-Mijares, Fomuy Woo · 2021 · Journal of Healthcare Engineering
  46. Automatic COVID-19 pneumonia diagnosis from x-ray lung image: A Deep Feature and Machine Learning Solution
    Mohamed Aktham Ahmed, Z.T. Al-Qaysi, Moceheb Lazam Shuwandy, Mahmood Maher Salih, Majid Hamid Ali · 2021 · Journal of Physics Conference Series
  47. Chest Radiographs Classification Using Multi-model Deep Learning: A Comparative Study
    Chamodi Fernando, Shammi Kolonne, Hashara Kumarasinghe, Dulani Meedeniya · 2022 · International Conference on Advanced Research in Computing (ICARC)
  48. New Optimized Deep Learning Application for COVID-19 Detection in Chest X-ray Images
    Ahmad Karim, Hilal Kaya, Veysel Alcan, Baha Şen, İsmail Alihan Hadımlıoğlu · 2022 · Symmetry
  49. Privacy‐preserving CNN feature extraction and retrieval over medical images
    Guopeng Cai, Xiaochao Wei, Yao Li · 2022 · International Journal of Intelligent Systems
  50. A CNN‐Based Chest Infection Diagnostic Model: A Multistage Multiclass Isolated and Developed Transfer Learning Framework
    Muhammad Umair Ali, Karam Dad Kallu, Haris Masood, Usama Tahir, Chandu V.V. Muralee Gopi, Amad Zafar, Seung Won Lee · 2023 · International Journal of Intelligent Systems
  51. An integrated convolutional neural network with attention guidance for improved performance of medical image classification
    Coşku Öksüz, Oğuzhan Urhan, M. Kemal Güllü · 2023 · Neural Computing and Applications
  52. A lightweight deep learning model with knowledge distillation for pulmonary diseases detection in chest X-rays
    Mohammed A. Asham, Asma Abdulghani Al-Shargabi, Raeed Al-Sabri, Ibrahim Meftah · 2024 · Multimedia Tools and Applications
  53. CNN-Based Framework for Classifying COVID-19, Pneumonia, and Normal Chest X-Rays
    Cristian Randieri, Andrea Perrotta, Adriano Puglisi, Maria Grazia Bocci, Christian Napoli · 2025 · Big Data and Cognitive Computing
  54. Crispr biosensing and Ai driven tools for detection and prediction of Covid-19
    Abdullahi Umar Ibrahim, Pwadubashiyi Coston Pwavodi, Mehmet Özsöz, Fadi M. Al-Turjman, Galaya Tirah, Joy Johnson Agbo · 2021 · Journal of Experimental & Theoretical Artificial Intelligence
  55. COVID-19 Detection Using Chest X-Ray Images with a RegNet Structured Deep Learning Model
    Md. Kawsher Mahbub, Milon Biswas, Abdul Mozid Miah, Ahmed Shahabaz, M. Shamim Kaiser · 2021 · Communications in computer and information science
  56. ULNet for the detection of coronavirus (COVID-19) from chest X-ray images
    Tianbo Wu, Chen Tang, Min Xu, Nian Song Hong, Zhenkun Lei · 2021 · Computers in Biology and Medicine
  57. Diagnosing and differentiating viral pneumonia and COVID-19 using X-ray images
    Hakan Kör, Hasan Erbay, Ahmet Haşim Yurttakal · 2022 · Multimedia Tools and Applications
  58. Conv-CapsNet: capsule based network for COVID-19 detection through X-Ray scans
    Pulkit Sharma, Rhythm Arya, Richa Verma, Bindu Verma · 2023 · Multimedia Tools and Applications
  59. Privacy preserving federated learning for full heterogeneity
    Kongyang Chen, Xiaoxue Zhang, Xiuhua Zhou, Bing Mi, Yatie Xiao, Lei Zhou, Zhen Wu, Lin Wu, Xiaoying Wang · 2023 · ISA Transactions
  60. Deep learning in computed tomography pulmonary angiography imaging: A dual-pronged approach for pulmonary embolism detection
    Fabiha Bushra, Muhammad E. H. Chowdhury, Rusab Sarmun, Saidul Kabir, Menatalla Said, Sohaib Bassam Mahmoud Zoghoul, Adam Mushtak, Israa Al‐Hashimi, Abdulrahman Alqahtani, Anwarul Hasan · 2024 · Expert Systems with Applications
  61. DeepChestGNN: A Comprehensive Framework for Enhanced Lung Disease Identification through Advanced Graphical Deep Features
    Shakil Rana, Md Jabed Hosen, Tasnim Jahan Tonni, Md. Awlad Hossen Rony, Kaniz Fatema, Md. Zahid Hasan, Md. Tanvir Rahman, Risala Tasin Khan, Tony Jan, Md Whaiduzzaman · 2024 · Sensors
  62. A comprehensive survey and taxonomy on privacy-preserving deep learning
    Tran, Anh-Tu, Luong, The-Dung, Huynh, Van-Nam · 2024 · Neurocomputing
  63. Texture Analysis in the Evaluation of COVID-19 Pneumonia in Chest X-Ray Images: A Proof of Concept Study
    Armando Ugo Cavallo, Jacopo Troisi, Marco Forcina, Pier‐Valerio Mari, Valerio Forte, Massimiliano Sperandio, S. Pagano, Pierpaolo Cavallo, Roberto Floris, Francesco Giuseppe Garaci · 2021 · Current Medical Imaging Formerly Current Medical Imaging Reviews
  64. COVID-19 Screening in Chest X-Ray Images Using Lung Region Priors
    Jianpeng An, Qing Cai, Zhiyong Qu, Zhongke Gao · 2021 · IEEE Journal of Biomedical and Health Informatics
  65. Pneumonia Detection using Deep Learning
    Swapnil Singh · 2021 · Biennial International Conference on Nascent Technologies in Engineering (ICNTE)
  66. On the Use of Deep Learning for Imaging-Based COVID-19 Detection Using Chest X-rays
    Gabriel Iluebe Okolo, Stamos Katsigiannis, Turke Althobaiti, Naeem Ramzan · 2021 · Sensors
  67. A deep learning-driven low-power, accurate, and portable platform for rapid detection of COVID-19 using reverse-transcription loop-mediated isothermal amplification
    Waqas Waheed, Sueda Saylan, Taimur Hassan, Hussein Kannout, Habiba S. AlSafar, Anas Alazzam · 2022 · Scientific Reports
  68. Deep Learning Algorithms for Automatic COVID-19 Detection on Chest X-Ray Images
    Sergio Cannata, Annunziata Paviglianiti, Eros Gian Alessandro Pasero, Giansalvo Cirrincione, Maurizio Cirrincione · 2022 · IEEE Access
  69. A Privacy-Enhanced Framework for Chest Disease Classification Using Federated Learning and Blockchain
    Rihab Saidi, Ines Rahmany, Salah Dhahri, Tarek Moulahi · 2024 · IEEE Access
  70. A Radiomics Signature to Quantitatively Analyze COVID-19-Infected Pulmonary Lesions
    Jiajun Qiu, Shaoliang Peng, Jin Ying Yin, Junren Wang, Jingwen Jiang, Zhenlin Li, Huan Song, Wei Zhang · 2021 · Interdisciplinary Sciences Computational Life Sciences
  71. A Survey on Artificial Intelligence in Chest Imaging of COVID-19
    Yun Chen, Gongfa Jiang, Yue Li, Yutao Tang, Yanfang Xu, Siqi Ding, Yanqi Xin, Yao Lu · 2020 · BIO Integration
  72. Multi-modal trained artificial intelligence solution to triage chest X-ray for COVID-19 using pristine ground-truth, versus radiologists
    Tao Tan, Bipul Das, Ravi Soni, Mate Fejes, Hongxu Yang, Sohan Ranjan, Daniel Attila Szabo, Vikram R. Melapudi, K. S. Shriram, Utkarsh Agrawal et al. · 2022 · Neurocomputing
  73. MFDNN: multi-channel feature deep neural network algorithm to identify COVID19 chest X-ray images
    Liangrui Pan, Boya Ji, Hetian Wang, Lian Y. Wang, Mingting Liu, Mitchai Chongcheawchamnan, Shaoliang Peng · 2022 · Health Information Science and Systems
  74. Knowledge Graph Applications in Medical Imaging Analysis: A Scoping Review
    Song Wang, Mingquan Lin, Tirthankar Ghosal, Ying Ding, Yifan Peng · 2022 · Health Data Science
  75. Contrasting EfficientNet, ViT, and gMLP for COVID-19 Detection in Ultrasound Imagery
    Mohamad Mahmoud Al Rahhal, Yakoub Bazi, Rami Mohammad Jomaa, Mansour Zuair, Farid Melgani · 2022 · Journal of Personalized Medicine
  76. A robust semantic lung segmentation study for CNN-based COVID-19 diagnosis
    Muhammet Fatih Aslan · 2022 · Chemometrics and Intelligent Laboratory Systems
  77. An optimal approach for content-based image retrieval using deep learning on COVID-19 and pneumonia X-ray Images
    Nitin Arora, Aditya Kakde, S. C. Sharma · 2022 · International Journal of Systems Assurance Engineering and Management
  78. CoVSeverity-Net: an efficient deep learning model for COVID-19 severity estimation from Chest X-Ray images
    Sagar Deep Deb, Rajib Kumar Jha, Rajnish Kumar, Prem Siddharth Tripathi, Yash Talera, Manish Kumar · 2023 · Research on Biomedical Engineering
  79. A lightweight CORONA-NET for COVID-19 detection in X-ray images
    Muhammad Usman Hadi, Rizwan Qureshi, Ayesha Ahmed, Nadeem Iftikhar · 2023 · Expert Systems with Applications
  80. Convolutional Neural Network Model to Detect COVID-19 Patients Utilizing Chest X-Ray Images
    Md. Shahriare Satu, Khair Ahammed, Mohammad Zoynul Abedin, Md. Auhidur Rahman, Sheikh Mohammed Shariful Islam, AKM Azad, Salem A. Alyami, Mohammad Ali Moni · 2023 · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
  81. Frequency constraint-based adversarial attack on deep neural networks for medical image classification
    Fang Chen, Jian Wang, Han Liu, Wentao Kong, Zhe Zhao, Longfei Ma, Hongen Liao, Daoqiang Zhang · 2023 · Computers in Biology and Medicine
  82. Deep Learning and Federated Learning for Screening COVID-19: A Review
    Md. Rubaiyat Hossain Mondal, Subrato Bharati, Prajoy Podder, Joarder Kamruzzaman · 2023 · BioMedInformatics
  83. CODENET: A deep learning model for COVID-19 detection
    Hong Ju, Yanyan Cui, Qiaosen Su, Liran Juan, Balachandran Manavalan · 2024 · Computers in Biology and Medicine
  84. COVID-19 Hierarchical Classification Using a Deep Learning Multi-Modal
    Albatoul S. Althenayan, Shada Alsalamah, Sherin F. Aly, Thamer A. Nouh, Bassam H. Mahboub, Laila Ibraheem Jaber Salameh, Metab Alkubeyyer, Abdulrahman Abdulkarim Mirza · 2024 · Sensors
  85. XCR-Net: A Computer Aided Framework to Detect COVID-19
    Ashik Mostafa Alvi, Md. Jubaer Khan, Nishat Tasnim Manami, Zubair Azim Miazi, Kate Wang, Siuly Siuly, Hua Wang · 2024 · IEEE Transactions on Consumer Electronics
  86. COVIDC: An expert system to diagnose COVID-19 and predict its severity using chest CT scans: Application in radiology
    Wajid Arshad Abbasi, Syed Ali Abbas, Saiqa Andleeb, Ghafoor ul Islam, Syeda Adin Ajaz, Kinza Arshad, Sadia Khalil, Asma Anjam, Kashif Ilyas, Mohsib Saleem et al. · 2021 · Informatics in Medicine Unlocked
  87. A comparative study on wavelet denoising for high noisy CT images of COVID-19 disease
    Murat Alparslan Güngör · 2021 · Optik
  88. Diagnosis of corona diseases from associated genes and X-ray images using machine learning algorithms and deep CNN
    Nahida Habib, Mohammad Motiur Rahman · 2021 · Informatics in Medicine Unlocked
  89. COVID-19 Detection Using Deep Convolutional Neural Networks and Binary Differential Algorithm-Based Feature Selection from X-Ray Images
    Mohammad Saber Iraji, Mohammad‐Reza Feizi‐Derakhshi, Jafar Tanha, Adil Mehmood Khan · 2021 · RePEc: Research Papers in Economics
  90. A Survey on Machine Learning and Internet of Medical Things-Based Approaches for Handling COVID-19: Meta-Analysis
    Shahab S. Band, Sina Ardabili, Atefeh Yarahmadi, Bahareh Pahlevanzadeh, Adiqa Kausar Kiani, Amin Beheshti, Hamid Alinejad‐Rokny, Abdollah Dehzangi, Arthur Chang, Amir Hosein Mosavi et al. · 2022 · Frontiers in Public Health
  91. WITHDRAWN: Machine learning and image analysis applications in the fight against COVID-19 pandemic: Datasets, research directions, challenges and opportunities
    Jalari Somasekar, P. Pavan Kumar, Avinash Sharma, G. Ramesh · 2020 · Materials Today Proceedings · Retracted
  92. An automated system to distinguish between Corona and Viral Pneumonia chest diseases based on image processing techniques
    Amani M. Al-Ghraibah, Muneera Altayeb, Feras Alnaimat · 2023 · Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization
  93. Knowledge graph based reasoning in medical image analysis: A scoping review
    Qinghua Huang, Guanghui Li · 2024 · Computers in Biology and Medicine
  94. Derin Öğrenme Tekniklerini Kullanarak Akciğer X-Ray Görüntülerinden COVID-19 Tespiti
    Ferhat Bozkurt · 2021 · European Journal of Science and Technology
  95. A Hybrid Deep Learning Approach for COVID-19 Diagnosis via CT and X-ray Medical Images
    Channabasava Chola, Pramodha Mallikarjuna, Abdullah Yahya Mohammed Muaad, J. V. Bibal Benifa, J. Hanumanthappa, Mugahed A. Al–antari · 2021 · International Electronic Conference on Algorithms (IOCA)
  96. Real-time Face Mask Detection Using Machine Learning/ Deep Feature-Based Classifiers For Face Mask Recognition
    Sweety Reddy, Silky Goel, Rahul Nijhawan · 2021 · IEEE Bombay Section Signature Conference (IBSSC)
  97. Hybrid Deep Feature Generation for Appropriate Face Mask Use Detection
    Emrah Aydemir, Mehmet Ali Yalçınkaya, Prabal Datta Barua, Mehmet Baygin, Oliver Faust, Şengül Doğan, Subrata Chakraborty, Türker Tuncer, U. Rajendra Acharya · 2022 · International Journal of Environmental Research and Public Health
  98. Developing an artificial neural network for detecting COVID-19 disease
    Mostafa Shanbehzadeh, Raoof Nopour, Hadi Kazemi-Arpanahi · 2022 · Journal of Education and Health Promotion
  99. Multi-branch fusion auxiliary learning for the detection of pneumonia from chest X-ray images
    Jia Liu, Jing Qi, Wei Chen, Yongjian Nian · 2022 · Computers in Biology and Medicine
  100. SEL-COVIDNET: An intelligent application for the diagnosis of COVID-19 from chest X-rays and CT-scans
    Ahmad Al Smadi, Ahed Abugabah, Ahmad Mohammad Al-smadi, Sultan Almotairi · 2022 · Informatics in Medicine Unlocked