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2025	2025 Eleventh International Conference on Bio Signals, Images, and Instrumentation (ICBSII) Narenthirakumar Appavu
2025	Deep Learning for Pneumonia Detection: A Combined CNN and YOLO Approach Human-Centric Intelligent Systems Rathnakannan Kailasam, Saranya Balasubramanian
2025	Hybrid Deep Learning Framework for Pneumonia Diagnosis: A CNN and YOLO-Based Approach International Journal of Advanced Research in Science, Communication and Technology Ms. Shilpa Bhandare
2025	Comparison of some CNN architectures for detecting cardiomegaly from chest X-ray images Mathematical Modeling and Computing H. Regragui, M. Ziani, N. Moussaid
2024	Foundation models matter: federated learning for multi-center tuberculosis diagnosis via adaptive regularization and model-contrastive learning World Wide Web Chang Liu, Yong Luo, Yongchao Xu, Bo Du
2024	A Deep Graph Convolution Network-Based Abnormity Detection Model for Largescale Behavioral Data IEEE Access Shaolin Liang, Kangjie Shao
2023	2023 Third International Conference on Secure Cyber Computing and Communication (ICSCCC) Lakshya Kumar Saini, Rajneesh Rani
2023	HPFL: hyper-network guided personalized federated learning for multi-center tuberculosis chest x-ray diagnosis Multimedia Tools and Applications Chang Liu, Yong Luo, Yongchao Xu, Bo Du
2023	Histogram Matched Chest X-Rays Based Tuberculosis Detection Using CNN Computer Systems Science and Engineering Joe Louis Paul Ignatius, Sasirekha Selvakumar, Kavin Gabriel Joe Louis Paul, Aadhithya B. Kailash, S. Keertivaas, S. A. J. Akarvin Raja Prajan
2023	Can deep adult lung segmentation models generalize to the pediatric population? Expert Systems with Applications Sivaramakrishnan Rajaraman, Feng Yang, Ghada Zamzmi, Zhiyun Xue, Sameer Antani
2023	Stacking Ensemble and ECA-EfficientNetV2 Convolutional Neural Networks on Classification of Multiple Chest Diseases Including COVID-19 Academic Radiology Mei-Ling Huang, Yu-Chieh Liao
2023	Review on chest pathogies detection systems using deep learning techniques Artificial Intelligence Review Arshia Rehman, Ahmad Khan, Gohar Fatima, Saeeda Naz, Imran Razzak
2023	A Portable Executable Clinical Decision Support Tool for Pneumonia Classification using Average Probability on an Ensemble Model Procedia Computer Science Lance Jansen C. Go, Ma. Sheila A. Magboo, Vincent Peter C. Magboo
2023	Deep Learning-Based Automated Detection of Cracks in Historical Masonry Structures Buildings Kemal Hacıefendioğlu, Ahmet Can Altunışık, Tuğba Abdioğlu
2022	Advances in Deep Learning for Tuberculosis Screening using Chest X-rays: The Last 5 Years Review Journal of Medical Systems KC Santosh, Siva Allu, Sivaramakrishnan Rajaraman, Sameer Antani
2022	CAM-K: a novel framework for automated estimating pixel area using K-Means algorithm integrated with deep learning based-CAM visualization techniques Neural Computing and Applications Kemal Hacıefendioğlu, Fatemeh Mostofi, Vedat Toğan, Hasan Basri Başağa
2022	2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI) Hoang Nguyen Ngoc, Vu Hoang, Trung H. Bui, Steven Q. H. Truong, Thanh Huynh Minh, Duong Nguyen Van, Trang Nguyen Thi Minh, Cong Cung Van
2022	Editorial on Special Issue “Artificial Intelligence in Image-Based Screening, Diagnostics, and Clinical Care of Cardiopulmonary Diseases” Diagnostics Sivaramakrishnan Rajaraman, Sameer Antani
2022	Deep Ensemble Learning for the Automatic Detection of Pneumoconiosis in Coal Worker’s Chest X-ray Radiography Journal of Clinical Medicine Liton Devnath, Suhuai Luo, Peter Summons, Dadong Wang, Kamran Shaukat, Ibrahim A. Hameed, Fatma S. Alrayes
2022	Deep Learning Approaches for Automatic Localization in Medical Images Computational Intelligence and Neuroscience H. Alaskar, A. Hussain, B. Almaslukh, T. Vaiyapuri, Z. Sbai, Arun Kumar Dubey
2022	Detecting Tuberculosis-Consistent Findings in Lateral Chest X-Rays Using an Ensemble of CNNs and Vision Transformers Frontiers in Genetics Sivaramakrishnan Rajaraman, Ghada Zamzmi, Les R. Folio, Sameer Antani
2021	Improved Semantic Segmentation of Tuberculosis—Consistent Findings in Chest X-rays Using Augmented Training of Modality-Specific U-Net Models with Weak Localizations Diagnostics Sivaramakrishnan Rajaraman, Les R. Folio, Jane Dimperio, Philip O. Alderson, Sameer K. Antani
2021	Quantifying the Impacts of Pre- and Post-Conception TSH Levels on Birth Outcomes: An Examination of Different Machine Learning Models Frontiers in Endocrinology Yuantong Sun, Weiwei Zheng, Ling Zhang, Huijuan Zhao, Xun Li, Chao Zhang, Wuren Ma, Dajun Tian, Kun-Hsing Yu, Shuo Xiao, Liping Jin, Jing Hua
2021	2021 IEEE Bombay Section Signature Conference (IBSSC) Aditya Singh, Mukta Sharma, Mahua Bhattacharya
2021	VGG19 Network Assisted Joint Segmentation and Classification of Lung Nodules in CT Images Diagnostics Muhammad Attique Khan, Venkatesan Rajinikanth, Suresh Chandra Satapathy, David Taniar, Jnyana Ranjan Mohanty, Usman Tariq, Robertas Damaševičius
2021	Novel loss functions for ensemble-based medical image classification PLOS ONE Sivaramakrishnan Rajaraman, Ghada Zamzmi, Sameer K. Antani
2021	Lecture Notes in Electrical Engineering Rahul Singh, Arnab Chakravarty, Biswajit Ghosh
2021	Deep learning for chest X-ray analysis: A survey Medical Image Analysis Erdi Çallı, Ecem Sogancioglu, Bram van Ginneken, Kicky G. van Leeuwen, Keelin Murphy
2021	Chest X-ray Bone Suppression for Improving Classification of Tuberculosis-Consistent Findings Diagnostics Sivaramakrishnan Rajaraman, Ghada Zamzmi, Les Folio, Philip Alderson, Sameer Antani
2020	2020 7th NAFOSTED Conference on Information and Computer Science (NICS) Bao Bui-Xuan, Bao-Minh Nguyen-Hoang, Cong-Anh Truong, Quang-Duy Nguyen-Tran
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