COVID-19 Detection Through Transfer Learning Using Multimodal Imaging Data

Cited by (472)

Items 101–200 of 472

1. MRFGRO: a hybrid meta-heuristic feature selection method for screening COVID-19 using deep features
   Arijit Dey, Soham Chattopadhyay, Pawan Kumar Singh, Ali Ahmadian, Массимилиано Феррара, Norazak Senu, Ram Sarkar · 2021 · Scientific Reports
2. COVID-19-The Role of Artificial Intelligence, Machine Learning, and Deep Learning: A Newfangled
   Dasari Naga Vinod, S. R. S. Prabaharan · 2023 · Archives of Computational Methods in Engineering
3. MCSC-Net: COVID-19 detection using deep-Q-neural network classification with RFNN-based hybrid whale optimization
   Gerard Deepak, M. Madiajagan, Sanjeev Kulkarni, Ahmed Najat Ahmed, Anandbabu Gopatoti, Veeraswamy Ammisetty · 2023 · Journal of X-Ray Science and Technology
4. Predicting COVID-19 Based on Environmental Factors With Machine Learning
   Amjed Basil Abdulkareem, Nor Samsiah Sani, Shahnorbanun Sahran, Zaid Abdi Alkareem Alyessari, Afzan Adam, Abdul Hadi Abd Rahman, Abdulkarem Basil Abdulkarem · 2021 · Intelligent Automation & Soft Computing
5. AI for COVID-19 Detection from Radiographs: Incisive Analysis of State of the Art Techniques, Key Challenges and Future Directions
   R. Karthik, R. Menaka, M. Hariharan, Gugan S. Kathiresan · 2021 · IRBM
6. COVID-19 identification from volumetric chest CT scans using a progressively resized 3D-CNN incorporating segmentation, augmentation, and class-rebalancing
   Md. Kamrul Hasan, Md. Tasnim Jawad, Kazi Nasim Imtiaz Hasan, Sajal Basak Partha, Md. Masum Al Masba, Shumit Saha, Mohammad Ali Moni · 2021 · Informatics in Medicine Unlocked
7. COVID-19 Chest X-ray Classification and Severity Assessment Using Convolutional and Transformer Neural Networks
   Tuan Le Dinh, Suk‐Hwan Lee, Seong-Geun Kwon, Ki‐Ryong Kwon · 2022 · Applied Sciences
8. Prediction of COVID-19 with Computed Tomography Images using Hybrid Learning Techniques
   Varalakshmi Perumal, Vasumathi Narayanan, Sakthi Jaya Sundar Rajasekar · 2021 · Disease Markers
9. Artificial Intelligence and Medical Internet of Things Framework for Diagnosis of Coronavirus Suspected Cases
   Ahmed I. M. Iskanderani, Ibrahim Mustafa Mehedi, Abdulah Jeza Aljohani, Mohammad Shorfuzzaman, Farzana Akther, Thangam Palaniswamy, Shaikh Abdul Latif, Abdul Latif, Aftab Alam · 2021 · Journal of Healthcare Engineering
10. Deep Learning for Covid-19 Screening Using Chest X-Rays in 2020: A Systematic Review
    KC Santosh, Supriti Ghosh, Debasmita Ghosh Roy · 2022 · International Journal of Pattern Recognition and Artificial Intelligence
11. Early prediction of COVID-19 using ensemble of transfer learning
    Pradeep Kumar Roy, Abhinav Kumar · 2022 · Computers & Electrical Engineering
12. COVID-19 Detection on Chest X-ray and CT Scan: A Review of the Top-100 Most Cited Papers
    Yandre M. G. Costa, Sergio A. Silva, Lucas O. Teixeira, Rodolfo Miranda Pereira, Diego Siedel Bertolini, Alceu S. Britto, Luiz S. Oliveira, George D. C. Cavalcanti · 2022 · Sensors
13. COVID19 Classification Using CT Images via Ensembles of Deep Learning Models
    Abdul Majid, Muhammad Attique Khan, Yunyoung Nam, Usman Tariq, Sudipta Singha Roy, Reham Reda Mostafa, Rasha Hassan Sakr · 2021 · Computers, materials & continua/Computers, materials & continua (Print)
14. Automated COVID-19 and Heart Failure Detection Using DNA Pattern Technique with Cough Sounds
    Mehmet Ali Kobat, Tarık Kıvrak, Prabal Datta Barua, Türker Tuncer, Şengül Doğan, Ru‐San Tan, Edward J. Ciaccio, U. Rajendra Acharya · 2021 · Diagnostics
15. BEMD-3DCNN-based method for COVID-19 detection
    Ali Arshad Riahi, Omar Elharrouss, Somaya Ali Al-Maadeed, Somaya Ali Al-Maadeed · 2021 · Computers in Biology and Medicine
16. Generalizability assessment of COVID-19 3D CT data for deep learning-based disease detection
    Maryam Fallahpoor, Subrata Chakraborty, Mohammad Tavakoli Heshejin, Hossein Chegeni, Michael J. Horry, Biswajeet Pradhan · 2022 · Computers in Biology and Medicine
17. CX-Net: an efficient ensemble semantic deep neural network for ROI identification from chest-x-ray images for COPD diagnosis
    Agughasi Victor Ikechukwu, Murali S · 2023 · Machine Learning Science and Technology
18. Perspective of AI system for COVID-19 detection using chest images: a review
    Dolly Das, Saroj Kr. Biswas, Sivaji Bandyopadhyay · 2022 · Multimedia Tools and Applications
19. Automatic COVID-19 detection mechanisms and approaches from medical images: a systematic review
    Amir Masoud Rahmani, Elham Azhir, Morteza Naserbakht, Mokhtar Mohammadi, Adil Hussein Mohammed, Mohammed Kamal Majeed, Sarkhel H. Taher Karim, Mehdi Hosseinzadeh · 2022 · Multimedia Tools and Applications
20. BND-VGG-19: A deep learning algorithm for COVID-19 identification utilizing X-ray images
    Zili Cao, Junjian Huang, Xing He, Zhaowen Zong · 2022 · Knowledge-Based Systems
21. Synergizing AI, IoT, and Blockchain for Diagnosing Pandemic Diseases in Smart Cities: Challenges and Opportunities
    Ibrahim Alrashdi, Ali Alqazzaz · 2024 · Sustainable Machine Intelligence Journal
22. COVID-19 detection from chest x-ray using MobileNet and residual separable convolution block
    V. Santhosh Kumar Tangudu, Jagadeesh Kakarla, Bala Venkateswarlu Isunuri · 2022 · Soft Computing
23. Explainable AI (XAI) Applied in Machine Learning for Pain Modeling: A Review
    Ravichandra Madanu, Maysam Abbod, Fu‐Jung Hsiao, Wei‐Ta Chen, Jiann-Shing Shieh · 2022 · Technologies
24. Automated COVID-19 detection with convolutional neural networks
    Aphelele Dumakude, Absalom El-Shamir Ezugwu · 2023 · Scientific Reports
25. Multi-modal and multi-criteria conflict analysis model based on deep learning and dominance-based rough sets: Application to clinical non-parallel decision problems
    Xiaoli Chu, Bingzhen Sun, Xiaodong Chu, Lu Wang, Kun Bao, Nanguan Chen · 2024 · Information Fusion
26. An intelligent deep convolutional network based COVID-19 detection from chest X-rays
    Mohammad M. Alshahrni, Mostafa A. Ahmad, Monir Abdullah, Nadir Omer, Muzzamil Aziz · 2022 · Alexandria Engineering Journal
27. A hybrid CNN and ensemble model for COVID-19 lung infection detection on chest CT scans
    Ahmed A. Akl, Khalid Mohamed Hosny, Mostafa M. Fouda, Ahmad Salah · 2023 · PLoS ONE
28. Multiscale patch-based feature graphs for image classification
    Matheus Vinícius Todescato, Luan Fonseca Garcia, Dennis Giovani Balreira, Joel Luís Carbonera · 2023 · Expert Systems with Applications
29. IoT-enabled stacked ensemble of deep neural networks for the diagnosis of COVID-19 using chest CT scans
    Mohammad Shorfuzzaman · 2021 · Computing
30. High-precision brain tumor classification from MRI images using an advanced hybrid deep learning method with minimal radiation exposure
    Rahim Khan, Sher Taj, Zahid Ullah Khan, Sajid Ullah Khan, Javed Ali Khan, Tahir Arshad, Sarra Ayouni · 2025 · Journal of Radiation Research and Applied Sciences
31. Transfer-recursive-ensemble learning for multi-day COVID-19 prediction in India using recurrent neural networks
    Debasrita Chakraborty, Debayan Goswami, Susmita Ghosh, Ashish Kumar Ghosh, Jonathan H. Chan, Lipo Wang · 2023 · Scientific Reports
32. COVID-19 Detection from Chest CT Images using Ensemble Deep Convolutional Neural Network
    Md. Ferdouse Ahmed Foysal, A. B. M. Aowlad Hossain · 2021 · International Conference for Emerging Technology (INCET)
33. A robust semantic lung segmentation study for CNN-based COVID-19 diagnosis
    Muhammet Fatih Aslan · 2022 · Chemometrics and Intelligent Laboratory Systems
34. Current Advances in Computational Lung Ultrasound Imaging: A Review
    Tianqi Yang, Oktay Karakuş, Nantheera Anantrasirichai, Alin Achim · 2022 · IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control
35. Curriculum Graph Machine Learning: A Survey
    Haoyang Li, Xin Wang, Wenwu Zhu · 2023 · International Joint Conference on Artificial Intelligence
36. Application of Machine Learning and Deep Learning Techniques for COVID-19 Screening Using Radiological Imaging: A Comprehensive Review
    Asifuzzaman Lasker, Sk Md Obaidullah, Chandan Chakraborty, Kaushik Roy · 2022 · SN Computer Science
37. An effective COVID-19 classification in X-ray images using a new deep learning framework
    P. Thilagavathi, R. Geetha, S. Jothi Shri, K. Somasundaram · 2025 · Journal of X-Ray Science and Technology
38. Dense Pixel-Labeling For Reverse-Transfer And Diagnostic Learning On Lung Ultrasound For Covid-19 And Pneumonia Detection
    Gautam Rajendrakumar Gare, Andrew Schoenling, Vipin Philip, Hai V. Tran, Bennett P. deBoisblanc, Ricardo Luis Rodriguez, John Galeotti · 2021 · IEEE International Symposium on Biomedical Imaging (ISBI)
39. SpecMEn-DL: spectral mask enhancement with deep learning models to predict COVID-19 from lung ultrasound videos
    Farhan Sadik, Ankan Ghosh Dastider, Shaikh Anowarul Fattah · 2021 · Health Information Science and Systems
40. COVID‐19 detection based on pre‐trained deep networks and LSTM model using X‐ray images enhanced contrast with artificial bee colony algorithm
    Mehmet Bilal Er · 2022 · Expert Systems
41. CovidExpert: A Triplet Siamese Neural Network framework for the detection of COVID-19
    Tareque Rahman Ornob, Gourab Roy, Enamul Hassan · 2023 · Informatics in Medicine Unlocked
42. A Survey on Machine Learning in COVID-19 Diagnosis
    Xing Lin Guo, Yudong Zhang, Siyuan Lu, Zhihai Lu · 2021 · Computer Modeling in Engineering & Sciences
43. Novel Coronavirus and Common Pneumonia Detection from CT Scans Using Deep Learning-Based Extracted Features
    Ghazanfar Latif, Hamdy Morsy, Asmaa Hassan, Jaafar M. Alghazo · 2022 · Viruses
44. A multistage framework for respiratory disease detection and assessing severity in chest X-ray images
    Pranab Sahoo, Saksham Kumar Sharma, Sriparna Saha, Deepak Jain, Samrat Mondal · 2024 · Scientific Reports
45. Multi-class Classification for the Identification of COVID-19 in X-Ray Images Using Customized Efficient Neural Network
    Adnan Hussain, Muhammad Imad, Asma Afzal Khan, Burhan Ullah · 2022 · Lecture notes on data engineering and communications technologies
46. A deep learning-based COVID-19 classification from chest X-ray image: case study
    G. Appasami, Nickolas Savarimuthu · 2022 · The European Physical Journal Special Topics
47. Machine Learning – Based Diagnosis of Covid-19 using Clinical Data
    Mona N Gowda, Dalwinder Singh, Manik Rakhra · 2022 · International Conference on Intelligent Engineering and Management (ICIEM)
48. Learning label diffusion maps for semi-automatic segmentation of lung CT images with COVID-19
    Aldimir Bruzadin, Maurílio Boaventura, Marilaine Colnago, Rogério Galante Negri, Wallace Correa de Oliveira Casaca · 2022 · Neurocomputing
49. Retracted: Covid-19 Disease Detection using Chest X-Ray Images by Means of CNN
    Ajay Reddy Yeruva, Pragati Choudhari, Anurag Shrivastava, Devvret Verma, Sanchita Shaw, Ajay Rana · 2022 · International Conference on Technological Advancements in Computational Sciences (ICTACS) · Retracted
50. Pneumonia screening on chest X-rays with optimized ensemble model
    Sravani Nalluri, R. Sasikala · 2023 · Expert Systems with Applications
51. A Topical Review on Enabling Technologies for the Internet of Medical Things: Sensors, Devices, Platforms, and Applications
    Md Shamsul Arefin, Mohammed Mostafizur Rahman, Md. Tanvir Hasan, Risla Ahmed, Mufti Mahmud · 2024 · Micromachines
52. Deep Learning Techniques for COVID-19 Diagnosis and Prognosis Based on Radiological Imaging
    Robert Hertel, Rachid Benlamri · 2022 · ACM Computing Surveys
53. Images denoising for COVID-19 chest X-ray based on multi-scale parallel convolutional neural network
    Noor Alam Ahmed, Rozina, Ahmad Ali, Abdul Raziq · 2023 · Multimedia Systems
54. An intelligence design for detection and classification of COVID19 using fusion of classical and convolutional neural network and improved microscopic features selection approach
    Javaria Amin, Muhammad Almas Anjum, Muhammad Imran Sharif, Tanzila Saba, Usman Tariq · 2021 · Microscopy Research and Technique
55. Multi-Frame Super-Resolution Algorithm Based on a WGAN
    Keqing Ning, Zhihao Zhang, Kai Han, Siyu Han, Xiqing Zhang · 2021 · IEEE Access
56. Deep Learning–Based Approaches to Improve Classification Parameters for Diagnosing COVID-19 from CT Images
    Hüseyin Yaşar, Murat Ceylan · 2021 · Cognitive Computation
57. Enhancing COVID-19 prediction using transfer learning from Chest X-ray images
    Phuoc-Hai Huynh, Trung-Nguyen Tran, Van Hoa Nguyen · 2021 · NAFOSTED Conference on Information and Computer Science (NICS)
58. COVID-19 identification and analysis using CT scan images: Deep transfer learning-based approach
    Krishna Kumar Mohbey, Savita Sharma, Sunil Kumar, Dr. Meenu Sharma · 2022 · Elsevier eBooks
59. Performance Analysis of VGG-19 Deep Learning Model for COVID-19 Detection
    Sahithya Namani, Lalita Snigdha Akkapeddi, Saritha Bantu · 2022 · International Conference on Computing for Sustainable Global Development
60. COVID-19 Imaging Data Privacy by Federated Learning Design: A Theoretical Framework
    Anwaar Ulhaq, Oliver Kisalay Burmeister · 2020 · arXiv (Cornell University)
61. Lung Ultrasound in Critical Care: A Narrative Review
    Lee Berry, Lucas Rehnberg, Paul Groves, Martin Knight, Michael Stewart, Ahilanandan Dushianthan · 2025 · Diagnostics
62. Detection of COVID-19 features in lung ultrasound images using deep neural networks
    Lingyi Zhao, Tiffany Clair Fong, Muyinatu A. Lediju Bell · 2024 · Communications Medicine
63. A comparative analysis of machine learning algorithms for detecting COVID-19 using lung X-ray images
    Susmita Hamal, Bhupesh Kumar Mishra, Robert A. Baldock, Will Sayers, Tek Narayan Adhikari, Ryan M. Gibson · 2024 · Decision Analytics Journal
64. Diagnostic Performance of a Deep Learning Model Deployed at a National COVID-19 Screening Facility for Detection of Pneumonia on Frontal Chest Radiographs
    Jordan Zheng Ting Sim, Yong Han Ting, Yuan Tang, Yangqin Feng, Xiaofeng Lei, Xiaohong Wang, Wenxiang Chen, Su Huang, Sum Thai Wong, Zhongkang Lu et al. · 2022 · Healthcare
65. COVID-19 radiograph prognosis using a deep CResNeXt network
    Dhirendra Prasad Yadav, Anand Singh Jalal, Ayush Goyal, Avdesh Mishra, Khem Uprety, Nirmal Guragai · 2023 · Multimedia Tools and Applications
66. Pemanfaatan Teknologi Artificial Intelligence untuk Penguatan Kesehatan dan Pemulihan Ekonomi Nasional
    Fitri Andri Astuti · 2021 · Jurnal Sistem Cerdas
67. Lung Ultrasound Segmentation and Adaptation Between COVID-19 and Community-Acquired Pneumonia
    Harry Mason, Lorenzo Cristoni, Andrew Walden, Roberto Lazzari, Thomas B. Pulimood, Louis Grandjean, Claudia A. M. Gandini Wheeler‐Kingshott, Yipeng Hu, Zachary M. C. Baum · 2021 · Lecture notes in computer science
68. COVID‐19 Diagnosis Using Capsule Network and Fuzzy C‐Means and Mayfly Optimization Algorithm
    Ali Farki, Zahra Salekshahrezaee, Arash Mohammadi Tofigh‎, Reza Ghanavati, Behdad Arandian, Amirahmad Chapnevis · 2021 · BioMed Research International
69. Development of CNN-LSTM combinational architecture for COVID-19 detection
    Abhinav Narula, Vaegae Naveen Kumar · 2022 · Journal of Ambient Intelligence and Humanized Computing
70. A hybrid deep learning approach using XceptionNet and vision transformer for accurate chest disease detection from X-ray images
    R. Bhuvanya, V. Vanitha, M.Mohamed Iqbal, Ankur Dumka, Rajesh Singh, Anita Gehlot, Amit Kumar Thakur · 2025 · Biomedical Signal Processing and Control
71. Disease Classification Model Based on Multi-Modal Feature Fusion
    Zhengyu Wan, Xin-Hui Shao · 2023 · IEEE Access
72. Lung Disease Classification Using Deep Learning Models from Chest X-ray Images
    Salma Sultana, Anik Pramanik, Md. Sadekur Rahman · 2023 · International Conference on Intelligent Communication and Computational Techniques (ICCT)
73. Efficient Lung Ultrasound Classification
    Antonio Bruno, Giacomo Ignesti, Ovidio Salvetti, Davide Moroni, Massimo Martinelli · 2023 · Bioengineering
74. Development of Debiasing Technique for Lung Nodule Chest X-ray Datasets to Generalize Deep Learning Models
    Michael J. Horry, Subrata Chakraborty, Biswajeet Pradhan, Manoranjan Paul, Jing Fei Zhu, Hui Wen Loh, Prabal Datta Barua, U. Rajendra Acharya · 2023 · Sensors
75. WFUMB Commentary Paper on Artificial intelligence in Medical Ultrasound Imaging
    Xin Wu Cui, Adrian Goudie, Michael Blaivas, Young Jun Chai, Maria Cristina Chammas, Yi Wei Dong, Jonathon E Stewart, Tian-An Jiang, Ping Liang, Chandra M. Sehgal et al. · 2024 · Ultrasound in Medicine & Biology
76. Performance of Root-Mean-Square Propagation and Adaptive Gradient Optimization Algorithms on Covid-19 Pneumonia Classification
    Budi Sulistiyo Nugroho, Anny Yuniarti · 2022 · IEEE Information Technology International Seminar (ITIS)
77. PrepNet: A Convolutional Auto-Encoder to Homogenize CT Scans for Cross-Dataset Medical Image Analysis
    Mohammadreza Amirian, Javier A. Montoya Zegarra, Jonathan Gruss, Yves D. Stebler, Ahmet Selman Bozkır, Marco Calandri, Friedhelm Schwenker, Thilo Stadelmann · 2021 · International Congress on Image and Signal Processing (CISP)
78. Deep Learning-Based Drug Screening for COVID-19 and Case Studies
    Konda Mani Saravanan, Haiping Zhang, Md. Tofazzal Hossain, Md. Selim Reza, Yanjie Wei · 2021 · Methods in pharmacology and toxicology
79. Exploring the Deep-Learning Techniques in Detecting the Presence of Coronavirus in the Chest X-Ray Images: A Comprehensive Review
    K. Chandrasekar · 2022 · Archives of Computational Methods in Engineering
80. Improved Analysis of COVID-19 Influenced Pneumonia from the Chest X-Rays Using Fine-Tuned Residual Networks
    Amel Ksibi, Mohammed Zakariah, Manel Farouk Ayadi, Hela Elmannai, Prashant Kumar Shukla, Awal Halifa, Monia Hamdi · 2022 · Computational Intelligence and Neuroscience
81. A Scoping Review on COVID-19's Early Detection Using Deep Learning Model and Computed Tomography and Ultrasound
    Ali Abdulqader Bin-Salem, Haider Dhia Zubaydi, Mahmood Saleh Alzubaidi, Zain Ul Abideen Tariq, Hamad Naeem · 2022 · Traitement du signal
82. Artificial Intelligence in Lung Ultrasound
    David L. Chu, Andrew S. Liteplo, Nicole M. Duggan, Ainsley B. Hutchinson, Hamid Shokoohi · 2024 · Current Pulmonology Reports
83. Removing Adversarial Noise in X-ray Images via Total Variation Minimization and Patch-Based Regularization for Robust Deep Learning-based Diagnosis
    Sheikh Burhan Ul Haque, Aasim Zafar · 2024 · Journal of Imaging Informatics in Medicine
84. Detection and Classification of COVID-19 by Radiological Imaging Modalities Using Deep Learning Techniques: A Literature Review
    Albatoul S. Althenayan, Shada Alsalamah, Sherin F. Aly, Thamer A. Nouh, Abdulrahman Abdulkarim Mirza · 2022 · Applied Sciences
85. COVID-ConvNet: A Convolutional Neural Network Classifier for Diagnosing COVID-19 Infection
    Ibtihal Ahmed Alablani, Mohammed J. F. Alenazi · 2023 · Diagnostics
86. Computer Tomography Image Based Interconnected Antecedence Clustering Model Using Deep Convolution Neural Network for Prediction Of COVID-19
    Vejendla Lakshman Narayana, Vistamsetty Sujatha, Kurra Santhi Sri, V. Pavani, T.V.N. Prasanna, Katakam Ranganarayana · 2023 · Traitement du signal
87. An Ensemble Feature Selection Approach-Based Machine Learning Classifiers for Prediction of COVID-19 Disease
    Md. Jakir Hossen, Thirumalaimuthu Thirumalaiappan Ramanathan, Abdullah Al Mamun · 2024 · International Journal of Telemedicine and Applications
88. Enabling CT-Scans for covid detection using transfer learning-based neural networks
    Ankit Kumar Dubey, Krishna Kumar Mohbey · 2022 · Journal of Biomolecular Structure and Dynamics
89. COVID-19 Detection from Lung Ultrasound Images using a Fuzzy Ensemble-based Transfer Learning Technique
    Pranab Sahoo, Sriparna Saha, Samrat Mondal, Nelson Sharma · 2022 · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition
90. Deep Convolutional Neural Networks for Detecting COVID-19 Using Medical Images: A Survey
    Rana Khattab, Islam R. Abdelmaksoud, Samir Mohamed Abdelrazek · 2023 · New Generation Computing
91. SARS-CoV-2 Detection from Lung CT-Scan Images Using Fine Tuning Concept on Deep-CNN Pretrained Model
    Simeon Yuda Prasetyo · 2023 · CESS (Journal of Computer Engineering System and Science)
92. A Two-Stage Federated Transfer Learning Framework in Medical Images Classification on Limited Data: A COVID-19 Case Study
    Alexandros Shikun Zhang, Naomi Fengqi Li · 2022 · Lecture notes in networks and systems
93. Classification of COVID-19 CT Scans via Extreme Learning Machine
    Muhammad Attique Khan, Abdul Majid, Tallha Akram, Nazar Hussain, Yunyoung Nam, Seifedine Kadry, Shuihua Wang‎, Majed Mohaia Alhaisoni · 2021 · Computers, materials & continua/Computers, materials & continua (Print)
94. Fine-Tuning ResNet for Optimized SARS-CoV-2 Detection in Lung CT Scans Images
    Simeon Yuda Prasetyo · 2023 · International Conference on Modeling & E-Information Research, Artificial Learning and Digital Applications (ICMERALDA)
95. Covid-19 Diagnosis using Deep Learning Approaches: A Systematic Review
    Tarza Hasan Abdullah, Berivan Hasan Abdullah · 2024 · Mesopotamian Journal of Artificial Intelligence in Healthcare
96. C19-MLE: A Multi-Layer Ensemble Deep Learning Approach for COVID-19 Detection Using Cough Sounds and X-Ray Imaging
    Shabir Hussain, Gehad Abdullah Amran, Amerah A. Alabrah, Lubna Alkhalil, Ali A. AL-Bakhrani · 2024 · IEEE Access
97. Transfer Learning from Pneumonia to COVID-19
    Hongen Lu, Sandini Anuradha Hewakankanamge, Yuan Miao · 2020 · IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE)
98. Diagnostic performance of corona virus disease 2019 chest computer tomography image recognition based on deep learning: Systematic review and meta-analysis
    Qiaolan Wang, Jingxuan Ma, Luoning Zhang, Linshen Xie · 2022 · Medicine
99. COVID-BLUeS - a Prospective Study on the Value of AI in Lung Ultrasound Analysis
    Nina Wiedemann, Dianne de Korte‐de Boer, Matthias Richter, Sjors C.F. van de Weijer, Charlotte Buhre, Franz A. M. Eggert, Sophie Aarnoudse, Lotte Grevendonk, Steffen Röber, Carlijn M. E. Remie et al. · 2025 · IEEE Journal of Biomedical and Health Informatics
100. An Enhanced Convolutional Neural Network for COVID-19 Detection
     Sameer I. Ali Al-Janabi, Belal Al‐Khateeb, Maha Mahmood, Begonya García-Zapirain · 2021 · Intelligent Automation & Soft Computing