Citation sources

Updated weekly. Details via Crossref

Crossref	Scopus	Google Scholar
38	43	Search

2025	(XAI-AGUWEM) Explainable Artificial Intelligence-based Attention Guided Uncertainty Weighting Ensemble Model for the Classification of COVID-19 and Pneumonia in X-ray Medical Images Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering) Abhishek Agnihotri, Narendra Kohli
2025	Enhanced COVID-19 detection from chest X-rays using ERBMAHE and a channel attention-based hybrid CNN model Soft Computing Shivam Gangwar, Reeta Devi, Nor Ashidi Mat Isa, Soontorn Oraintara
2025	Advancing respiratory disease diagnosis: A deep learning and vision transformer-based approach with a novel X-ray dataset Computers in Biology and Medicine Amer Alghadhban, Rabie A. Ramadan, Meshari Alazmi
2024	The use of Efficientnet_b0 network to identify COVID-19 in chest X-ray images Journal of Electrical Systems and Information Technology Michael Ayitey Junior, Peter Appiahene, Yaw Marfo Missah, Vivian Akoto-Adjepong
2024	A New Efficient Classifier for Bird Classification Based on Transfer Learning Journal of Engineering Lesia Mochurad, Stanislav Svystovych
2024	Smart soil image classification system using lightweight convolutional neural network Expert Systems with Applications D.N. Kiran Pandiri, R. Murugan, Tripti Goel
2024	Noise-induced modality-specific pretext learning for pediatric chest X-ray image classification Frontiers in Artificial Intelligence Sivaramakrishnan Rajaraman, Zhaohui Liang, Zhiyun Xue, Sameer Antani
2024	Generalizable disease detection using model ensemble on chest X-ray images Scientific Reports Maider Abad, Jordi Casas-Roma, Ferran Prados
2024	Multi-centre benchmarking of deep learning models for COVID-19 detection in chest x-rays Frontiers in Radiology Rachael Harkness, Alejandro F. Frangi, Kieran Zucker, Nishant Ravikumar
2023	Effective processing pipeline PACE 2.0 for enhancing chest x-ray contrast and diagnostic interpretability Scientific Reports Giulio Siracusano, Aurelio La Corte, Annamaria Giuseppina Nucera, Michele Gaeta, Massimo Chiappini, Giovanni Finocchio
2023	Detecting COVID-19 Effectively with Transformers and CNN-Based Deep Learning Mechanisms Applied Sciences Afamefuna Promise Umejiaku, Prastab Dhakal, Victor S. Sheng
2023	A survey on deep learning models for detection of COVID-19 Neural Computing and Applications Javad Mozaffari, Abdollah Amirkhani, Shahriar B. Shokouhi
2023	Diagnostic performance of artificial intelligence algorithms for detection of pulmonary involvement by COVID-19 based on portable radiography Medicina Clínica (English Edition) Ricardo Luis Cobeñas, María de Vedia, Juan Florez, Daniela Jaramillo, Luciana Ferrari, Ricardo Re
2023	Image classification adversarial attack with improved resizing transformation and ensemble models PeerJ Computer Science Chenwei Li, Hengwei Zhang, Bo Yang, Jindong Wang
2023	Assessing the Impact of Image Resolution on Deep Learning for TB Lesion Segmentation on Frontal Chest X-rays Diagnostics Sivaramakrishnan Rajaraman, Feng Yang, Ghada Zamzmi, Zhiyun Xue, Sameer Antani
2023	An Automated Chest X-Ray Image Analysis for Covid-19 and Pneumonia Diagnosis Using Deep Ensemble Strategy IEEE Access Adnan Hussain, Sareer Ul Amin, Hunjoo Lee, Asma Khan, Noreen Fayyaz Khan, Sanghyun Seo
2023	LWSNet - a novel deep-learning architecture to segregate Covid-19 and pneumonia from x-ray imagery Multimedia Tools and Applications Asifuzzaman Lasker, Mridul Ghosh, Sk Md Obaidullah, Chandan Chakraborty, Kaushik Roy
2023	Rendimiento diagnóstico de algoritmos de inteligencia artificial para detección de compromiso pulmonar por COVID-19 basados en radiografía portátil Medicina Clínica Ricardo Luis Cobeñas, María de Vedia, Juan Florez, Daniela Jaramillo, Luciana Ferrari, Ricardo Re
2023	Prediction of Health Issues During Covid-19 using Machine Learning Technique international journal of engineering technology and management sciences Payel Ghosh, Shubhi Awasthi, Dibiya Sarkar, Subha Roy, Sulekha Das
2023	Cross-dimensional transfer learning in medical image segmentation with deep learning Medical Image Analysis Hicham Messaoudi, Ahror Belaid, Douraied Ben Salem, Pierre-Henri Conze
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	Exploratory data analysis, classification, comparative analysis, case severity detection, and internet of things in COVID-19 telemonitoring for smart hospitals Journal of Experimental & Theoretical Artificial Intelligence Aysha Shabbir, Maryam Shabbir, Abdul Rehman Javed, Muhammad Rizwan, Celestine Iwendi, Chinmay Chakraborty
2023	CDC_Net: multi-classification convolutional neural network model for detection of COVID-19, pneumothorax, pneumonia, lung Cancer, and tuberculosis using chest X-rays Multimedia Tools and Applications Hassaan Malik, Tayyaba Anees, Muizzud Din, Ahmad Naeem
2023	Attenuate Class Imbalance Problem for Pneumonia Diagnosis Using Ensemble Parallel Stacked Pre-Trained Models Computers, Materials & Continua Aswathy Ravikumar, Harini Sriraman
2023	Uncertain-CAM: Uncertainty-Based Ensemble Machine Voting for Improved COVID-19 CXR Classification and Explainability Diagnostics Waleed Aldhahi, Sanghoon Sull
2023	Deep learning framework for rapid and accurate respiratory COVID-19 prediction using chest X-ray images Journal of King Saud University - Computer and Information Sciences Chiagoziem C. Ukwuoma, Dongsheng Cai, Md Belal Bin Heyat, Olusola Bamisile, Humphrey Adun, Zaid Al-Huda, Mugahed A. Al-antari
2022	Machine learning applications for COVID-19 outbreak management Neural Computing and Applications Arash Heidari, Nima Jafari Navimipour, Mehmet Unal, Shiva Toumaj
2022	Proceedings of the Thirteenth Indian Conference on Computer Vision, Graphics and Image Processing Abhishek Tiwari, Rajeev Kumar Singh
2022	2022 IEEE 11th Data Driven Control and Learning Systems Conference (DDCLS) Honghai Ji, Jiaqi Li, Li Wang, Lingling Fan, Yixiao Zhang, Wei Wang
2022	Perspective of AI system for COVID-19 detection using chest images: a review Multimedia Tools and Applications Dolly Das, Saroj Kumar Biswas, Sivaji Bandyopadhyay
2022	Towards edge devices implementation: deep learning model with visualization for COVID-19 prediction from chest X-ray Advances in Computational Intelligence Shaline Jia Thean Koh, Marwan Nafea, Hermawan Nugroho
2022	Feature-level ensemble approach for COVID-19 detection using chest X-ray images PLOS ONE Thi Kieu Khanh Ho, Jeonghwan Gwak
2022	BDCNet: multi-classification convolutional neural network model for classification of COVID-19, pneumonia, and lung cancer from chest radiographs Multimedia Systems Hassaan Malik, Tayyaba Anees, Mui-zzud-din
2022	Application of Machine Learning and Deep Learning Techniques for COVID-19 Screening Using Radiological Imaging: A Comprehensive Review SN Computer Science Asifuzzaman Lasker, Sk Md Obaidullah, Chandan Chakraborty, Kaushik Roy
2022	Machine learning for detecting COVID-19 from cough sounds: An ensemble-based MCDM method Computers in Biology and Medicine Nihad Karim Chowdhury, Muhammad Ashad Kabir, Md. Muhtadir Rahman, Sheikh Mohammed Shariful Islam
2022	Efficient and visualizable convolutional neural networks for COVID-19 classification using Chest CT Expert Systems with Applications Aksh Garg, Sana Salehi, Marianna La Rocca, Rachael Garner, Dominique Duncan
2021	Ensembled Deep Neural Network for Intracranial Hemorrhage Detection and Subtype Classification on Noncontrast CT Images Journal of Artificial Intelligence for Medical Sciences Yunan Wu, Mark P. Supanich, Jie Deng
2021	Identification of Specific Substances in the FAIMS Spectra of Complex Mixtures Using Deep Learning Sensors Hua Li, Jiakai Pan, Hongda Zeng, Zhencheng Chen, Xiaoxia Du, Wenxiang Xiao
	Additional cited-by details will be shown when available from Crossref