Can AI help in screening viral and COVID-19 pneumonia?

Chowdhury, Muhammad E. H., Rahman, Tawsifur, Khandakar, Amith, Mazhar, Rashid, Kadir, Muhammad Abdul, Mahbub, Zaid Bin, Islam, Khandakar Reajul, Khan, Muhammad Salman +4 more·2020·IEEE Access

Cited by (1,004)

Items 501–600 of 1,004

  1. In vivo spectroscopy: optical fiber probes for clinical applications
    Ajaya Kumar Barik, Sanoop Pavithran M, Jijo Lukose, Rekha Upadhya, Muralidhar Vaman Pai, V. B. Kartha, Santhosh Chidangil · 2022 · Expert Review of Medical Devices
  2. Computational Intelligence-Based Disease Severity Identification: A Review of Multidisciplinary Domains
    Suman Bhakar, Deepak Sinwar, Nitesh Pradhan, Vijaypal Singh Dhaka, Iván Chérrez-Ojeda, Amna Parveen, Muhammad Umair Hassan · 2023 · Diagnostics
  3. Adapting transfer learning models to dataset through pruning and Avg-TopK pooling
    Cüneyt Özdemir · 2024 · Neural Computing and Applications
  4. Performance of GAN-based augmentation for deep learning COVID-19 image classification
    Oleksandr Fedoruk, K. Klimaszewski, Aleksander Ogonowski, Rafał Możdżonek · 2024 · AIP conference proceedings
  5. CECT: Controllable ensemble CNN and transformer for COVID-19 image classification
    Zhaoshan Liu, Lei Shen · 2024 · Computers in Biology and Medicine
  6. EvolutionViT: Multi-objective evolutionary vision transformer pruning under resource constraints
    Lei Liu, Gary G. Yen, Zhenan He · 2024 · Information Sciences
  7. Automatic Detection of COVID-19 Disease in Chest X-Ray Images using Deep Neural Networks
    Mohammad Mahmudur Rahman Khan, Shadman Sakib, Md. Abu Bakr Siddique, Madiha Chowdhury, Ziad Hossain, Anas Aziz, Nowrin Yasmin · 2020 · IEEE Region Humanitarian Technology Conference
  8. Fast COVID-19 Detection of Chest X-Ray Images Using Single Shot Detection MobileNet Convolutional Neural Networks
    Fatchul Arifin, Herjuna Artanto, Nurhasanah, Teddy Surya Gunawan · 2021 · Journal of Southwest Jiaotong University
  9. Role of standard and soft tissue chest radiography images in deep-learning-based early diagnosis of COVID-19
    Qiyuan Hu, Karen Drukker, Maryellen Lissak Giger · 2021 · Journal of medical imaging
  10. COVID-19 research
    Sandhya Avasthi, Ritu Chauhan, Suman Lata Tripathi, Tanushree Sanwal · 2022 · Elsevier eBooks
  11. Exploring SVM for Federated Machine Learning Applications
    Divya G. Nair, C V Aswartha Narayana, K. Jaideep Reddy, Jyothisha J. Nair · 2022 · Lecture notes in networks and systems
  12. 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
  13. Swin-textural: A novel textural features-based image classification model for COVID-19 detection on chest computed tomography
    Ilknur Tuncer, Prabal Datta Barua, Şengül Doğan, Mehmet Bayğın, Türker Tuncer, Ru‐San Tan, Chai Hong Yeong, U. Rajendra Acharya · 2022 · Informatics in Medicine Unlocked
  14. Deep Learning Methods for Interpretation of Pulmonary CT and X-ray Images in Patients with COVID-19-Related Lung Involvement: A Systematic Review
    Min-Ho Lee, Adai Shomanov, Madina Kudaibergenova, Dmitriy Viderman · 2023 · Journal of Clinical Medicine
  15. PPM-SEM: A Privacy-Preserving Mechanism for Sharing Electronic Patient Records and Medical Images in Telemedicine
    Wenying Wen, Ziye Yuan, Shuren Qi, Yushu Zhang, Yuming Fang · 2023 · IEEE Transactions on Multimedia
  16. Detection of COVID-19 using edge devices by a light-weight convolutional neural network from chest X-ray images
    Sohamkumar Chauhan, Damoder Reddy Edla, Vijayasree Boddu, M Jayanthi Rao, Ramalingaswamy Cheruku, Soumya Ranjan Nayak, Sheshikala Martha, Kampa Lavanya, Tsedenya Debebe Nigat · 2024 · BMC Medical Imaging
  17. Potential diagnosis of COVID-19 from chest X-ray and CT findings using semi-supervised learning
    Pracheta Sahoo, Indranil Roy, Randeep Ahlawat, Saquib Irtiza, Latifur R. Khan · 2021 · Physical and Engineering Sciences in Medicine
  18. Fine-Tuned Siamese Network with Modified Enhanced Super-Resolution GAN Plus Based on Low-Quality Chest X-ray Images for COVID-19 Identification
    Grace Ugochi Nneji, Jingye Cai, Happy Nkanta Monday, Md Altab Hossin, Saifun Nahar, Goodness Temofe Mgbejime, Jianhua Deng · 2022 · Diagnostics
  19. Centralized and Federated Learning for COVID-19 Detection With Chest X-Ray Images: Implementations and Analysis
    Sadaf Naz, Khoa T. Phan, Yi‐Ping Phoebe Chen · 2024 · IEEE Transactions on Emerging Topics in Computational Intelligence
  20. Analyzing the Impact of Data Augmentation on the Explainability of Deep Learning-Based Medical Image Classification
    Wanquan Liu, Gizem Nur Karagoz, Nirvana Meratnia · 2024 · Machine Learning and Knowledge Extraction
  21. Enhancing SAM with Efficient Prompting and Preference Optimization for Semi-supervised Medical Image Segmentation
    Konwer, Aishik, Yang, Zhijian, Bas, Erhan, Xiao, Cao, Prasanna, Prateek, Bhatia, Parminder, Kass-Hout, Taha · 2025 · 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  22. CoviLearn: A Machine Learning Integrated Smart X-Ray Device in Healthcare Cyber-Physical System for Automatic Initial Screening of COVID-19
    Debanjan Das, Sagnik Ghosal, Saraju P. Mohanty · 2022 · SN Computer Science
  23. Modeling a deep transfer learning framework for the classification of COVID-19 radiology dataset
    Michael Adebisi Fayemiwo, Toluwase Ayobami Olowookere, Samson Afolabi Arekete, Adewale Opeoluwa Ogunde, Mba Obasi Odim, Bosede Oyenike Oguntunde, Oluwabunmi Omobolanle Olaniyan, Theresa Omolayo Ojewumi, Idowu Sunday Oyetade, Ademola Adegoke Aremu et al. · 2021 · PeerJ Computer Science
  24. Securing the Classification of COVID-19 in Chest X-ray Images: A Privacy-Preserving Deep Learning Approach
    Wadii Boulila, Adel Ammar, Bilel Benjdira, Anis Koubâa · 2022 · International Conference of Smart Systems and Emerging Technologies (SMARTTECH)
  25. Pneumonia Recognition by Deep Learning: A Comparative Investigation
    Yuting Yang, Gang Mei · 2022 · Applied Sciences
  26. DCML: Deep contrastive mutual learning for COVID-19 recognition
    Hongbin Zhang, Weinan Liang, Chuanxiu Li, Qipeng Xiong, Haowei Shi, Lang Hu, Guangli Li · 2022 · Biomedical Signal Processing and Control
  27. CodnNet: A lightweight CNN architecture for detection of COVID-19 infection
    Jingdong Yang, Lei Zhang, Xinjun Tang, Han Man · 2022 · Applied Soft Computing
  28. CycleGAN Clinical Image Augmentation Based on Mask Self-Attention Mechanism
    Junzhuo Liu, Zhixiang Wang, Ye Zhang, Alberto Traverso, Andre L.A.J. Dekker, Zhen Zhang, Qiaosong Chen · 2022 · IEEE Access
  29. 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
  30. Emerging technologies for COVID (ET-CoV) detection and diagnosis: Recent advancements, applications, challenges, and future perspectives
    Amir Rehman, Huanlai Xing, Muhammad Adnan Khan, Mehboob Hussain, Abid Hussain, Nighat Gulzar · 2023 · Biomedical Signal Processing and Control
  31. Deep Convolutional Neural Network Architecture to Detect COVID-19 from Chest X-Ray Images
    Maad Mohsin Mijwil · 2023 · Iraqi Journal of Science
  32. Early detection of tuberculosis using hybrid feature descriptors and deep learning network
    Garima Verma, Ajay Kumar, Sushil Kumar Dixit · 2023 · Polish Journal of Radiology
  33. Augmentation strategies for an imbalanced learning problem on a novel COVID-19 severity dataset
    Daniel Schaudt, Reinhold von Schwerin, Alexander Hafner, Pascal Riedel, Manfred Reichert, Marianne von Schwerin, Meinrad Beer, Christopher Kloth · 2023 · Scientific Reports
  34. Pneumonia screening on chest X-rays with optimized ensemble model
    Sravani Nalluri, R. Sasikala · 2023 · Expert Systems with Applications
  35. Comparison of simple augmentation transformations for a convolutional neural network classifying medical images
    Oona Rainio, Riku Klén · 2024 · Signal Image and Video Processing
  36. Smart Medical Application of Deep Learning (MUNet) for Detection of COVID-19 from Chest Images
    Ahmad Al Smadi, Ahed Abugabah, Mutasem K. Alsmadi, Ahmad Mohammad Al-smadi · 2024 · Journal of Wireless Mobile Networks Ubiquitous Computing and Dependable Applications
  37. 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
  38. A Deep Transfer Learning Approach to Diagnose Covid-19 using X-ray Images
    Nagifa Ilma Progga, Mohammad Shahadat Hossain, Karl Andersson · 2020 · IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE)
  39. COVIDXception-Net: A Bayesian Optimization-Based Deep Learning Approach to Diagnose COVID-19 from X-Ray Images
    Shifat E. Arman, Sejuti Rahman, Shamim Ahmed Deowan · 2021 · SN Computer Science
  40. COVID-RDNet: A novel coronavirus pneumonia classification model using the mixed dataset by CT and X-rays images
    Lingling Fang, Xin Wang · 2022 · Journal of Applied Biomedicine
  41. COV-VGX: An automated COVID-19 detection system using X-ray images and transfer learning
    Prottoy Saha, Muhammad Sheikh Sadi, O. F. M. Riaz Rahman Aranya, Sadia Jahan, Ferdib-Al Islam · 2021 · Informatics in Medicine Unlocked
  42. Radiological Analysis of COVID-19 Using Computational Intelligence: A Broad Gauge Study
    S. Vineth Ligi, Soumya Snigdha Kundu, R. Kumar, Rajamanickam Narayanamoorthi, Khin Wee Lai, Samiappan Dhanalakshmi · 2022 · Journal of Healthcare Engineering
  43. Biases associated with database structure for COVID-19 detection in X-ray images
    Daniel Arias-Garzón, Reinel Tabares-Soto, Joshua Bernal-Salcedo, Gonzalo A. Ruz · 2023 · Scientific Reports
  44. Progressive attention integration-based multi-scale efficient network for medical imaging analysis with application to COVID-19 diagnosis
    Tingyi Xie, Zidong Wang, Han Li, Peishu Wu, Huixiang Huang, Hongyi Zhang, Fuad E. Alsaadi, Nianyin Zeng · 2023 · Computers in Biology and Medicine
  45. 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
  46. Federated Learning for Distribution Skewed Data Using Sample Weights
    Hung T. Nguyen, Pei-Yuan Wu, J. Morris Chang · 2023 · IEEE Transactions on Artificial Intelligence
  47. Plant disease detection using a depth-wise separable-based adaptive deep neural network
    Ila Kaushik, Nupur Prakash, Anurag Jain · 2024 · Multimedia Tools and Applications
  48. Designing a Proactive Context-Aware AI Chatbot for People's Long-Term Goals
    Brennan Jones, Yan Xu, Qisheng Li, Stefan J. Scherer · 2024 · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA)
  49. Advancing differential diagnosis: a comprehensive review of deep learning approaches for differentiating tuberculosis, pneumonia, and COVID-19
    Kajal Kansal, Tej Bahadur Chandra, Akansha Singh · 2024 · Multimedia Tools and Applications
  50. A unified 2D medical image segmentation network (SegmentNet) through distance-awareness and local feature extraction
    Chukwuebuka Joseph Ejiyi, Zhen Qin, Chiagoziem C. Ukwuoma, Victor Kwaku Agbesi, Ariyo Oluwasanmi, Mugahed A. Al–antari, Olusola Bamisile · 2024 · Journal of Applied Biomedicine
  51. Adaptive Mish activation and ranger optimizer-based SEA-ResNet50 model with explainable AI for multiclass classification of COVID-19 chest X-ray images
    S. R. Sannasi Chakravarthy, N. Bharanidharan, C. Vinothini, Venkatesan Vinoth Kumar, T R Mahesh, Suresh Guluwadi · 2024 · BMC Medical Imaging
  52. Optimized exposer region-based modified adaptive histogram equalization method for contrast enhancement in CXR imaging
    Shivam Gangwar, Reeta Devi, Nor Ashidi Mat Isa · 2025 · Scientific Reports
  53. Towards Interpretable Radiology Report Generation via Concept Bottlenecks Using a Multi-agentic RAG
    H. Alam, Devansh Srivastav, Md Abdul Kadir, Daniel Sonntag · 2025 · Lecture notes in computer science
  54. Chest X-Ray Abnormality Detection Based on SqueezeNet
    Kübra Nur Akpınar, Secil Genc, Serap Karagöl · 2020 · International Conference on Electrical, Communication, and Computer Engineering (ICECCE)
  55. Reliable Covid-19 Detection using Chest X-Ray Images
    Aysen Degerli, Mete Ahishali, Serkan Kiranyaz B, Muhammad E. H. Chowdhury, Moncef Gabbouj · 2021 · Proceedings - International Conference on Image Processing
  56. Convolutional neural network for diagnosis of viral pneumonia and COVID ‐19 alike diseases
    Abdullahi Umar Ibrahim, Mehmet Özsöz, Sertan Serte, Fadi Al‐Turjman, Salahudeen Habeeb Kolapo · 2021 · Expert Systems
  57. Automatic coronavirus disease 2019 diagnosis based on chest radiography and deep learning – Success story or dataset bias?
    Jennifer Dhont, Cecile J A Wolfs, Frank Verhaegen · 2021 · Medical Physics
  58. Advancement of deep learning in pneumonia/Covid‐19 classification and localization: A systematic review with qualitative and quantitative analysis
    Aakash Shah, Manan Shah · 2022 · Chronic Diseases and Translational Medicine
  59. A New Approach to COVID-19 Detection: An ANN Proposal Optimized through Tree-Seed Algorithm
    Muhammet Fatih Aslan, Kadir Sabancı, Ewa Ropelewska · 2022 · Symmetry
  60. Deep convolutional neural networks for detection of abnormalities in chest X-rays trained on the very large dataset
    Kadir Aktas, Vuk Ignjatović, Dragan Ilic, Marina Marjanović, Gholamreza Anbarjafari · 2022 · Signal Image and Video Processing
  61. COVID-19 infection prediction from CT scan images of lungs using Iterative Convolution Neural Network model
    Madhavi M, P. Supraja · 2022 · Advances in Engineering Software
  62. Curbing the AI-induced enthusiasm in diagnosing COVID-19 on chest X-Rays: the present and the near-future
    Alexandru Burlacu, Radu Adrian Crișan-Dabija, Iolanda Valentina Popa, Bogdan Artene, Vasile Birzu, Mihai Pricop, Cristina Pleșoianu, Daniele Generali · 2020 · medRxiv
  63. Lessons learned from RadiologyNET foundation models for transfer learning in medical radiology
    Napravnik, Mateja, Hržić, Franko, Urschler, Martin, Miletić, Damir, Štajduhar, Ivan · 2025 · Scientific Reports
  64. Shadow defense against gradient inversion attack in federated learning
    Jiang Le, Liyan Ma, Guang Yang · 2025 · Medical Image Analysis
  65. M4CXR: Exploring Multitask Potentials of Multimodal Large Language Models for Chest X-Ray Interpretation
    Jonggwon Park, Soobum Kim, Byungmu Yoon, Jihun Hyun, Kyoyun Choi · 2025 · IEEE Transactions on Neural Networks and Learning Systems
  66. Deep Transfer Learning Based Unified Framework for COVID19 Classification and Infection Detection from Chest X-Ray Images
    Sankar Ganesh Sundaram, Saleh Aloyuni, Raed Alharbi, Tariq Mohammed Alqahtani, Mohamed Yacin Sikkandar, S. Chidambaram · 2021 · Arabian Journal for Science and Engineering
  67. A Comprehensive Review of Artificial Intelligence in Prevention and Treatment of COVID-19 Pandemic
    Haishuai Wang, Shangru Jia, Zhao Li, Yucong Duan, Guangyu Tao, Ziping Zhao · 2022 · Frontiers in Genetics
  68. Comprehensive Survey of Machine Learning Systems for COVID-19 Detection
    Bayan Al-Saaidah, Moh’d Rasoul Al-Hadidi, Heba Nsour, Raja Masadeh, Nael AlZubi · 2022 · Journal of Imaging
  69. COVID-AleXception: A Deep Learning Model Based on a Deep Feature Concatenation Approach for the Detection of COVID-19 from Chest X-ray Images
    Manel Farouk Ayadi, Amel Ksibi, Amal Al‐Rasheed, Ben Othman Soufiene · 2022 · Healthcare
  70. COVID-19 chest X-ray image classification in the presence of noisy labels
    Xiao-qing YING, Hao Liu, Rong Huang · 2023 · Displays
  71. On the Adoption of Modern Technologies to Fight the COVID-19 Pandemic: A Technical Synthesis of Latest Developments
    Abdul Majeed, Xiaohan Zhang · 2023 · COVID
  72. Federated Learning for Detecting COVID-19 in Chest CT Images: A Lightweight Federated Learning Approach
    Weimin Lai, Qiao Yan · 2022 · IEEE International Conference on Frontiers Technology of Information and Computer (ICFTIC)
  73. A Real Time Method for Distinguishing COVID-19 Utilizing 2D-CNN and Transfer Learning
    Abida Sultana, Md. Nahiduzzaman, Sagor Chandro Bakchy, Saleh Mohammed Shahriar, Hasibul Islam Peyal, Muhammad E. H. Chowdhury, Amith Abdullah Khandakar, Mohamed Arselene Ayari, Mominul Ahsan, Julfikar Haider · 2023 · Sensors
  74. Customized convolutional neural network for pulmonary multi-disease classification using chest x-ray images
    Rajendra D. Bhosale, Dinkar Manik Yadav · 2023 · Multimedia Tools and Applications
  75. Improving the classification of veterinary thoracic radiographs through inter-species and inter-pathology self-supervised pre-training of deep learning models
    Weronika Celniak, Marek Wodziński, Artur Jurgas, Silvia Burti, Alessandro Zotti, Manfredo Atzori, Henning Müller, Tommaso Banzato · 2023 · Scientific Reports
  76. Deep learning network selection and optimized information fusion for enhanced COVID ‐19 detection
    Muhammad Umair Ali, Amad Zafar, Jawad Tanveer, Muhammad Attique Khan, Seong Han Kim, Mashael M. Alsulami, Seung Won Lee · 2023 · International Journal of Imaging Systems and Technology
  77. MultiFusionNet: multilayer multimodal fusion of deep neural networks for chest X-ray image classification
    Saurabh Agarwal, K. V. Arya, Yogesh Kumar Meena · 2024 · Soft Computing
  78. PP-CNN: probabilistic pooling CNN for enhanced image classification
    Narendra Kumar Mishra, Pushpendra Singh, Anubha Gupta, Shiv Dutt Joshi · 2024 · Neural Computing and Applications
  79. Deep Learning Approach for COVID-19 Detection in Computed Tomography Images
    Mohamad Mahmoud Al Rahhal, Yakoub Bazi, Rami Mohammad Jomaa, Mansour Zuair, Naif Alajlan · 2021 · Computers, materials & continua/Computers, materials & continua (Print)
  80. Intelligent predictions of Covid disease based on lung CT images using machine learning strategy
    B. Sathya Prabha, Sandeep Kaur, Jaspreet Singh, Praful Vijay Nandankar, Sanjiv Kumar Jain, Harikumar Pallathadka · 2021 · Materials Today Proceedings
  81. Backdoor Attacks to Deep Neural Network-Based System for COVID-19 Detection from Chest X-ray Images
    Yuki Matsuo, Kazuhiro Takemoto · 2021 · Applied Sciences
  82. Diagnosis of COVID-19 Using Machine Learning and Deep Learning: A Review
    Md. Rubaiyat Hossain Mondal · 2021 · Current Medical Imaging Formerly Current Medical Imaging Reviews
  83. Validation of expert system enhanced deep learning algorithm for automated screening for COVID-Pneumonia on chest X-rays
    Prashant Gidde, Shyam Sunder Prasad, Ajay Pratap Singh, Nitin Bhatheja, Satyartha Prakash, Prateek Singh, Aakash Saboo, Rohit Takhar, Salil Kumar Gupta, Sumeet Saurav et al. · 2021 · Scientific Reports
  84. Deep Features Comparative Analysis for COVID-19 Detection from the Chest Radiograph Images
    Naeem Ullah, Ali Javed · 2021 · International Conference on Frontiers of Information Technology (FIT)
  85. Deep Residual Neural Network for COVID-19 Detection from Chest X-ray Images
    Amirhossein Panahi, Reza Askari Moghadam, Mohammadreza Akrami, Kurosh Madani · 2022 · SN Computer Science
  86. A novel algorithm for detection of COVID-19 by analysis of chest CT images using Hopfield neural network
    Saeed Sani, Hossein Ebrahimzadeh Shermeh · 2022 · Expert Systems with Applications
  87. Comparison of transfer learning method for COVID-19 detection using convolution neural network
    Helmi Imaduddin, Fiddin Yusfida A’la, Azizah Fatmawati, Brian Aditya Hermansyah · 2022 · Bulletin of Electrical Engineering and Informatics
  88. COVID-19 prognosis using limited chest X-ray images
    Arnab Kumar Mondal · 2022 · Applied Soft Computing
  89. A fast lightweight network for the discrimination of COVID-19 and pulmonary diseases
    Oussama Aiadi, Belal Khaldi · 2022 · Biomedical Signal Processing and Control
  90. 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
  91. COVID-19 Diagnosis and Classification Using Radiological Imaging and Deep Learning Techniques: A Comparative Study
    Saloni Laddha, Sami Mnasri, Mansoor Alghamdi, Vijay Kumar, Manjit Kaur, Malek Alrashidi, Abdullah Almuhaimeed, Ali Alshehri, Majed Abdullah Alrowaily, Ibrahim S. Alkhazi · 2022 · Diagnostics
  92. Applications of Artificial Intelligence Enhanced Drones in Distress Pavement, Pothole Detection, and Healthcare Monitoring with Service Delivery
    Yue Wang, Ye Tian · 2022 · Journal of Engineering
  93. Highly Accurate Multiclass Classification of Respiratory System Diseases from Chest Radiography Images Using Deep Transfer Learning Technique
    Mohannad K. Jalehi, Baraa Munqith Albaker · 2022 · Biomedical Signal Processing and Control
  94. Exploring the Effect of Image Enhancement Techniques on COVID-19 Detection using Chest X-rays Images
    Tawsifur Rahman, Amith Abdullah Khandakar, Yazan Qiblawey, Anas Tahir, Serkan Kiranyaz B, Saad Bin Abul Kashem, Mohammad Tariqul Islam, Somaya Ali Al-Maadeed, Susu M. Zughaier, Muhammad Salman Khan et al. · 2020 · arXiv (Cornell University)
  95. Ebola Optimization Search Algorithm (EOSA): A new metaheuristic algorithm based on the propagation model of Ebola virus disease
    Olaide Nathaniel Oyelade, Absalom El-Shamir Ezugwu · 2021 · arXiv (Cornell University)
  96. Intelligent solid waste classification system using combination of image processing and machine learning models
    Hani Abu-Qdais, Nawras Shatnawi, Esra’a AL-Alamie · 2023 · Research Square
  97. Application of Artificial Intelligence on Post Pandemic Situation and Lesson Learn for Future Prospects
    Priyanka Dwivedi, Achintya Kumar Sarkar, Chinmay Chakraborty, Monoj Kumar Singha, Vineet Rojwal · 2021 · Journal of Experimental & Theoretical Artificial Intelligence
  98. Explainable Deep Learning for Covid-19 Detection Using Chest X-ray and CT-Scan Images
    Sidi Ahmed Mahmoudi, Sédrick Stassin, Mostafa El Habib Daho, Xavier Lessage, Saïd Mahmoudi · 2021 · EAI/Springer Innovations in Communication and Computing
  99. Deep Convolutional Neural Network Approach for COVID-19 Detection
    Yu Xue, Bernard-Marie Onzo, Romany Fouad Mansour, Shoubao Su · 2021 · Computer Systems Science and Engineering
  100. The use of CLAHE for improving an accuracy of CNN architecture for detecting pneumonia
    Elbert Alfredo Tjoa, I Putu Yowan Nugraha Suparta, Rita Magdalena, Nor Kumalasari Caecar Pratiwi · 2022 · SHS Web of Conferences