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2025	LungXpertAI: A deep multi-task learning model for chest CT scan analysis and COVID-19 detection Biomedical Signal Processing and Control Shirin Kordnoori, Maliheh Sabeti, Hamidreza Mostafaei, Saeed Seyed Agha Banihashemi
2025	Lecture Notes in Computer Science Chia-Hui Feng, Hao-Chiang Koong Lin, Chu-Yu Christine Cheng, Jing-Lin Huang, Yu-Xin Zhou
2025	Enhancing lung disease diagnosis with deep-learning-based CT scan image segmentation Intelligent Systems with Applications Rima Tri Wahyuningrum, Achmad Bauravindah, Indah Agustien Siradjuddin, Budi Dwi Satoto, Amillia Kartika Sari, Anggraini Dwi Sensusiati
2024	WalkFormer: 3D mesh analysis via transformer on random walk Neural Computing and Applications Qing Guo, Fazhi He, Bo Fan, Yupeng Song, Jicheng Dai, Linkun Fan
2024	Detection of COVID-19 in Chest X-Ray Images Using a CNN Model toward Medical Applications Wireless Personal Communications Saeed Mohsen, Steffen G. Scholz, Ahmed Elkaseer
2024	The Impact of Big Data Analysis on Trends Journal of Research in Science and Engineering Gurinder Kaur
2024	2024 4th International Multidisciplinary Information Technology and Engineering Conference (IMITEC) Khokhoni Innocentia Mpho Ramaphosa, Tranos Zuva, Temidayo Otunniyi
2023	Blockchain-Federated and Deep-Learning-Based Ensembling of Capsule Network with Incremental Extreme Learning Machines for Classification of COVID-19 Using CT Scans Bioengineering Hassaan Malik, Tayyaba Anees, Ahmad Naeem, Rizwan Ali Naqvi, Woong-Kee Loh
2023	COVID-19 detection and classification: key AI challenges and recommendations for the way forward Journal of Pulmonology and Respiratory Research Althinyan Albatoul, Mirza Abdulrahman , Aly Sherin , Nouh Thamer , Mahboub Bassam , Salameh Laila , Alkubeyyer Metab , AlSalamah Shada A
2023	Deep Learning Methods for Interpretation of Pulmonary CT and X-ray Images in Patients with COVID-19-Related Lung Involvement: A Systematic Review Journal of Clinical Medicine Min-Ho Lee, Adai Shomanov, Madina Kudaibergenova, Dmitriy Viderman
2023	Structural Attention Graph Neural Network for Diagnosis and Prediction of COVID-19 Severity IEEE Transactions on Medical Imaging Yanbei Liu, Henan Li, Tao Luo, Changqing Zhang, Zhitao Xiao, Ying Wei, Yaozong Gao, Feng Shi, Fei Shan, Dinggang Shen
2023	Optimizing CNN‐LSTM hybrid classifier using HCA for biomedical image classification Expert Systems Ashwini Kumar Pradhan, Kaberi Das, Debahuti Mishra, Premkumar Chithaluru
2023	A Systematic Review on Deep Structured Learning for COVID-19 Screening Using Chest CT from 2020 to 2022 Healthcare KC Santosh, Debasmita GhoshRoy, Suprim Nakarmi
2023	COVID-19 Classification through Deep Learning Models with Three-Channel Grayscale CT Images Big Data and Cognitive Computing Maisarah Mohd Sufian, Ervin Gubin Moung, Mohd Hanafi Ahmad Hijazi, Farashazillah Yahya, Jamal Ahmad Dargham, Ali Farzamnia, Florence Sia, Nur Faraha Mohd Naim
2022	Deep 3D Volumetric Model Genesis for Efficient Screening of Lung Infection Using Chest CT Scans Mathematics Muhammad Owais, Haseeb Sultan, Na Rae Baek, Young Won Lee, Muhammad Usman, Dat Tien Nguyen, Ganbayar Batchuluun, Kang Ryoung Park
2022	DMDF-Net: Dual multiscale dilated fusion network for accurate segmentation of lesions related to COVID-19 in lung radiographic scans Expert Systems with Applications Muhammad Owais, Na Rae Baek, Kang Ryoung Park
2022	An Unsupervised Fuzzy Clustering Approach for Early Screening of COVID-19 From Radiological Images IEEE Transactions on Fuzzy Systems Weiping Ding, Shouvik Chakraborty, Kalyani Mali, Sankhadeep Chatterjee, Janmenjoy Nayak, Asit Kumar Das, Soumen Banerjee
2022	Grasshopper KUWAHARA and Gradient Boosting Tree for Optimal Features Classifications Computers, Materials & Continua Rabab Hamed M. Aly, Aziza I. Hussein, Kamel H. Rahouma
2022	A Survey on Machine Learning in COVID-19 Diagnosis Computer Modeling in Engineering & Sciences Xing Guo, Yu-Dong Zhang, Siyuan Lu, Zhihai Lu
2022	Deep Transfer Learning Based Unified Framework for COVID19 Classification and Infection Detection from Chest X-Ray Images Arabian Journal for Science and Engineering Sankar Ganesh Sundaram, Saleh Abdullah Aloyuni, Raed Abdullah Alharbi, Tariq Alqahtani, Mohamed Yacin Sikkandar, Chidambaram Subbiah
2022	Detection and Classification of COVID-19 by Radiological Imaging Modalities Using Deep Learning Techniques: A Literature Review Applied Sciences Albatoul S. Althenayan, Shada A. AlSalamah, Sherin Aly, Thamer Nouh, Abdulrahman A. Mirza
2022	Automated COVID-19 Detection Based on Single-Image Super-Resolution and CNN Models Computers, Materials & Continua Walid El-Shafai, Anas M. Ali, El-Sayed M. El-Rabaie, Naglaa F. Soliman, Abeer D. Algarni, Fathi E. Abd El-Samie
2022	Less Is More: Matched Wavelet Pooling-Based Light-Weight CNNs With Application to Image Classification IEEE Access Said El-Khamy, Ahmad Al-Kabbany, Shimaa El-Bana
2021	Efficient deep neural networks for classification of COVID-19 based on CT images: Virtualization via software defined radio Computer Communications Saman Fouladi, M.J. Ebadi, Ali A. Safaei, Mohd Yazid Bajuri, Ali Ahmadian
2021	Artificial intelligence approaches and mechanisms for big data analytics: a systematic study PeerJ Computer Science Amir Masoud Rahmani, Elham Azhir, Saqib Ali, Mokhtar Mohammadi, Omed Hassan Ahmed, Marwan Yassin Ghafour, Sarkar Hasan Ahmed, Mehdi Hosseinzadeh
2021	Domain-Adaptive Artificial Intelligence-Based Model for Personalized Diagnosis of Trivial Lesions Related to COVID-19 in Chest Computed Tomography Scans Journal of Personalized Medicine Muhammad Owais, Na Rae Baek, Kang Ryoung Park
2021	Gender and age detection assist convolutional neural networks in classification of thorax diseases PeerJ Computer Science Mumtaz Ali, Riaz Ali
2021	COVID-19 Diagnosis from Chest CT Scans: A Weakly Supervised CNN-LSTM Approach AI Mustafa Kara, Zeynep Öztürk, Sergin Akpek, Ayşegül Turupcu
2021	KL-MOB: automated COVID-19 recognition using a novel approach based on image enhancement and a modified MobileNet CNN PeerJ Computer Science Mundher Mohammed Taresh, Ningbo Zhu, Talal Ahmed Ali Ali, Mohammed Alghaili, Asaad Shakir Hameed, Modhi Lafta Mutar
2021	An optimal cascaded recurrent neural network for intelligent COVID-19 detection using Chest X-ray images Applied Soft Computing K. Shankar, Eswaran Perumal, Vicente García Díaz, Prayag Tiwari, Deepak Gupta, Abdul Khader Jilani Saudagar, Khan Muhammad
2021	X‐Ray Equipped with Artificial Intelligence: Changing the COVID‐19 Diagnostic Paradigm during the Pandemic BioMed Research International Mustafa Ghaderzadeh, Mehrad Aria, Farkhondeh Asadi
2021	Revisión Sistemática de Literatura: Análisis de viabilidad para la detección y diagnóstico de Covid-19, aplicando modelos de Inteligencia Artificial (IA) CEDAMAZ Jonathan Ricardo Tillaguango Jiménez
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