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2026	Next-Gen Healthcare Sohaib Asif, Fuguo Xue, Youqin Chen, Ruxuan Yan, Lingying Zhu, Enyu Wang, Dong Xu
2025	Communications in Computer and Information Science Bryan Juárez-Gonzalez, Fernando Villalba-Meneses, Jonathan Cruz-Varela, Andrés Tirado-Espín, Paulina Vizcaino-Imacaña, Carolina Cadena-Morejon, Cesar Guevara, Diego Almeida-Galárraga
2025	A novel method for predicting debris flow hazard: a multi-strategy fusion approach based on the light gradient boosting machine framework Stochastic Environmental Research and Risk Assessment Tianlong Wang, Qi Ge, Tianxing Ma, Hao Chen, Rui Luo, Xu Wang, Keying Zhang, Zhaowei Chu, Xiaohui Ni, Hongyue Sun
2024	Precision Metrics: A Narrative Review on Unlocking the Power of KPIs in Radiology for Enhanced Precision Medicine Journal of Personalized Medicine Andrea Lastrucci, Yannick Wandael, Angelo Barra, Vittorio Miele, Renzo Ricci, Lorenzo Livi, Graziano Lepri, Rosario Alfio Gulino, Giovanni Maccioni, Daniele Giansanti
2024	Machine learning-based prediction of length of stay (LoS) in the neonatal intensive care unit using ensemble methods Neural Computing and Applications Ayse Erdogan Yildirim, Murat Canayaz
2024	A series of methods incorporating deep learning and computer vision techniques in the study of fruit fly (Diptera: Tephritidae) regurgitation Frontiers in Plant Science Tongzhou Zhou, Wei Zhan, Mengyuan Xiong
2024	A review of different deep learning methods in processing the CT scan images of the COVID-19 patients’ lungs Multiscale and Multidisciplinary Modeling, Experiments and Design Haixia Zhang
2024	SyntDiaNet: Integrating feature extraction, transfer learning and classifier-embedded generative adversarial network for advanced pneumonia diagnosis Multimedia Tools and Applications Rahul Gowtham Poola, Lahari P.L, Siva Sankar Yellampalli
2024	A variant-informed decision support system for tackling COVID-19: a transfer learning and multi-attribute decision-making approach PeerJ Computer Science Amirreza Salehi Amiri, Ardavan Babaei, Vladimir Simic, Erfan Babaee Tirkolaee
2023	A novel deep learning-based approach for prediction of neonatal respiratory disorders from chest X-ray images Biocybernetics and Biomedical Engineering Ayse Erdogan Yildirim, Murat Canayaz
2023	Detection of COVID‐19 from chest X‐ray images: Boosting the performance with convolutional neural network and transfer learning Expert Systems Sohaib Asif, Yi Wenhui, Kamran Amjad, Hou Jin, Yi Tao, Si Jinhai
2023	Applications of Artificial Intelligence in Medical Imaging Abdullah Elen, Aykut Diker, Abdulhamit Subasi
2023	Optimization of pneumonia CT classification model using RepVGG and spatial attention features Frontiers in Medicine Qinyi Zhang, Jianhua Shu, Chen Chen, Zhaohang Teng, Zongyun Gu, Fangfang Li, Junling Kan
2022	A Review Study of the Deep Learning Techniques used for the Classification of Chest Radiological Images for COVID-19 Diagnosis International Journal of Information Management Data Insights Yu Wang, Carol Anne Hargreaves
2022	BND-VGG-19: A deep learning algorithm for COVID-19 identification utilizing X-ray images Knowledge-Based Systems Zili Cao, Junjian Huang, Xing He, Zhaowen Zong
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