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Samira Sajed, Habib Rostami, Jorge Esparteiro Garcia, Ahmad Keshavarz, Andreia Teixeira

Shoujin Sun, Chi Zhou, Guixian Sun, Zhexun Lian

Aya Hage Chehade, Nassib Abdallah, Jean-Marie Marion, Mathieu Hatt, Mohamad Oueidat, Pierre Chauvet

Michael R. MILNE, Hassan K. AHMAD, Quinlan D. BUCHLAK, Nazanin ESMAILI, Cyril TANG, Jarrel SEAH, Nalan EKTAS, Peter BROTCHIE, Thomas H. MARWICK, Catherine M. JONES

K. Divya Reddy, Anitha Patil

Uswatun Hasanah, Jenq-Shiou Leu, Cries Avian, Ihsanul Azmi, Setya Widyawan Prakosa

Ghazaleh Mirzaee, Gianfranco Doretto, Donald Adjeroh

Yi Yang, Xing-yun Hou, Weiqing Ge, Xinye Wang, Yitian Xu, Wansheng Chen, Yaping Tian, Huafang Gao, Qian Chen

Uswatun Hasanah, Cries Avian, Jeremie Theddy Darmawan, Nabil Bachroin, Muhamad Faisal, Setya Widyawan Prakosa, Jenq-Shiou Leu, Chia-Ti Tsai

Hassan K. Ahmad, Michael R. Milne, Quinlan D. Buchlak, Nalan Ektas, Georgina Sanderson, Hadi Chamtie, Sajith Karunasena, Jason Chiang, Xavier Holt, Cyril H. M. Tang, Jarrel C. Y. Seah, Georgina Bottrell, Nazanin Esmaili, Peter Brotchie, Catherine Jones

Marriam Nawaz, Tahira Nazir, Jamel Baili, Muhammad Attique Khan, Ye Jin Kim, Jae-Hyuk Cha

Saleh Albahli, Tahira Nazir

2025	A Hybrid Deep Learning Approach for Enhanced Classification of Lung Pathologies From Chest X‐Ray International Journal of Imaging Systems and Technology Samira Sajed, Habib Rostami, Jorge Esparteiro Garcia, Ahmad Keshavarz, Andreia Teixeira
2025	Multimodal fusion of ECG and chest X-ray with deep learning and radiomics for cardiac diagnosis: A machine learning-based nomogram approach Journal of Radiation Research and Applied Sciences Shoujin Sun, Chi Zhou, Guixian Sun, Zhexun Lian
2025	Advancing chest X-ray diagnostics: A novel CycleGAN-based preprocessing approach for enhanced lung disease classification in ChestX-Ray14 Computer Methods and Programs in Biomedicine Aya Hage Chehade, Nassib Abdallah, Jean-Marie Marion, Mathieu Hatt, Mohamad Oueidat, Pierre Chauvet
2025	Applications and potential of machine, learning augmented chest X-ray interpretation in cardiology Minerva Cardiology and Angiology Michael R. MILNE, Hassan K. AHMAD, Quinlan D. BUCHLAK, Nazanin ESMAILI, Cyril TANG, Jarrel SEAH, Nalan EKTAS, Peter BROTCHIE, Thomas H. MARWICK, Catherine M. JONES
2025	CXR-MultiTaskNet a unified deep learning framework for joint disease localization and classification in chest radiographs Scientific Reports K. Divya Reddy, Anitha Patil
2024	A systematic review of multilabel chest X-ray classification using deep learning Multimedia Tools and Applications Uswatun Hasanah, Jenq-Shiou Leu, Cries Avian, Ihsanul Azmi, Setya Widyawan Prakosa
2024	2024 International Conference on Machine Learning and Applications (ICMLA) Ghazaleh Mirzaee, Gianfranco Doretto, Donald Adjeroh
2023	Machine-Learning Models Utilizing Cyp3A4*1G Show Improved Prediction of Hypoglycemic Medication in Type 2 Diabetes Personalized Medicine Yi Yang, Xing-yun Hou, Weiqing Ge, Xinye Wang, Yitian Xu, Wansheng Chen, Yaping Tian, Huafang Gao, Qian Chen
2023	CheXNet and feature pyramid network: a fusion deep learning architecture for multilabel chest X-Ray clinical diagnoses classification The International Journal of Cardiovascular Imaging Uswatun Hasanah, Cries Avian, Jeremie Theddy Darmawan, Nabil Bachroin, Muhamad Faisal, Setya Widyawan Prakosa, Jenq-Shiou Leu, Chia-Ti Tsai
2023	Machine Learning Augmented Interpretation of Chest X-rays: A Systematic Review Diagnostics Hassan K. Ahmad, Michael R. Milne, Quinlan D. Buchlak, Nalan Ektas, Georgina Sanderson, Hadi Chamtie, Sajith Karunasena, Jason Chiang, Xavier Holt, Cyril H. M. Tang, Jarrel C. Y. Seah, Georgina Bottrell, Nazanin Esmaili, Peter Brotchie, Catherine Jones
2023	CXray-EffDet: Chest Disease Detection and Classification from X-ray Images Using the EfficientDet Model Diagnostics Marriam Nawaz, Tahira Nazir, Jamel Baili, Muhammad Attique Khan, Ye Jin Kim, Jae-Hyuk Cha
2022	AI-CenterNet CXR: An artificial intelligence (AI) enabled system for localization and classification of chest X-ray disease Frontiers in Medicine Saleh Albahli, Tahira Nazir

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