Browse by Aston Author

Article

Fouad, Shereen, Usman, Muhammad, Rajasekaran, Arvind, Morlese, John, Nagori, Pankaj and Kabir, Ra’eesa (2025). Explained deep learning framework for COVID-19 detection in volumetric CT images aligned with the British Society of Thoracic Imaging reporting guidance: A pilot study. Journal of Imaging Informatics in Medicine ,

E. Ihongbe, Izegbua, Fouad, Shereen, F. Mahmoud, Taha, Rajasekaran, Arvind and Bhatia, Bahadar (2024). Evaluating Explainable Artificial Intelligence (XAI) Techniques in Chest Radiology Imaging Through a Human-centered Lens. PLoS ONE, 19 (10),

Ramachandran Menon, Raveen, Bigdeli, Ali, Adem, Anwar, Schroeder, Andreas, Awais, Mustabsar, Baines, Tim, Battisti, Giuliana, Driffield, Nigel, Fouad, Shereen and Röder, Mirjam (2024). Unpacking the Triple Nexus: Environmental Performance, Economic Performance and Servitization – A Systematic Review and Theoretical Reflections. Journal of Cleaner Production, 457 ,

Shah, Shariq, Ghomeshi, Hossein, Vakaj, Edlira, Cooper, Emmett and Fouad, Shereen (2023). A review of natural language processing in contact centre automation. Pattern Analysis and Applications, 26 (3), pp. 823-846.

Book Section

Barzas, Konstantinos, Fouad, Shereen, Jasa, Gainer and Landini, Gabriel (2025). An Explainable Deep Learning Framework for Mandibular Canal Segmentation from Cone Beam Computed Tomography Volumes. IN: Computational Advances in Bio and Medical Sciences - 12th International Conference, ICCABS 2023, Revised Selected Papers. Bansal, Mukul S.; Chen, Wei; Khudyakov, Yury; Măndoiu, Ion I.; Moussa, Marmar R.; Patterson, Murray; Rajasekaran, Sanguthevar; Skums, Pavel; Thankachan, Sharma V. and Zelikovsky, Alexander (eds) Lecture Notes in Computer Science: ICCABS proceedings . USA: Springer.

Atim, Paula, Fouad, Shereen, Tiffany Yu, Sinling, Fratini, Antonio, Rajasekaran, Arvind, Nagori, Pankaj, Morlese, John and Bhatia, Bahadar (2024). Explainable Deep Learning Framework for ground glass opacity (GGO) Segmentation from Chest CT scans. IN: Proceedings of 5th International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2024). GBR: Springer.

Fouad, Shereen, Hakobyan, Lilit, Kavakli, Manolya, Atkins, Sarah, Bhatia, Bahadar, Rajasekaran, Arvind, Nagori, Pankaj, Morlese, John, Fratini, Antonio and E. Ihongbe, Izegbua (2024). CHERIE: User-Centred Development of an XAI System for Chest Radiology through Co-Design. IN: 37th International BCS Human-Computer Interaction Conference. ACM.

Fouad, Shereen and Alkooheji, Ezzaldin (2023). Sentiment Analysis for Women in STEM using Twitter and Transfer Learning Models. IN: Proceedings - 17th IEEE International Conference on Semantic Computing, ICSC 2023. Proceedings - 17th IEEE International Conference on Semantic Computing, ICSC 2023 . USA: IEEE.

Conference or Workshop Item

Fouad, Shereen, Atim, Paula, Rajasekaran, Arvind, Nagori, Pankaj, Morlese, John and Bhatia, Bahadar (2025). Explainability in Automated Ground Glass Opacity (GGO) Segmentation Using Chest CT Scans. IN: International Symposium on Biomedical Imaging. Hyatt Regency, 2025-04-14 - 2025-04-17. (In Press)

Fouad, Shereen, Jamil, Danial and Fay, Nathan (2024). AI-driven sentiment analysis on servitization business model: A Twitter Based Study. IN: SEVENTH INTERNATIONAL CONFERENCE ON EMERGING RESEARCH PARADIGMS IN BUSINESS AND SOCIAL SCIENCES (ERPBSS 2024). United Arab Emirates, 2024-05-13 - 2024-05-16.