| COVID-19 detection and disease progression visualization: Deep learning on chest X-rays for classification and coarse localization T Zebin, S Rezvy Applied Intelligence 51 (2), 1010-1021, 2021 | 187 | 2021 |
| Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy S Ali, M Dmitrieva, N Ghatwary, S Bano, G Polat, A Temizel, A Krenzer, ... Medical image analysis 70, 102002, 2021 | 109 | 2021 |
| An efficient deep learning model for intrusion classification and prediction in 5G and IoT networks S Rezvy, Y Luo, M Petridis, A Lasebae, T Zebin 2019 53rd Annual Conference on information sciences and systems (CISS), 1-6, 2019 | 89 | 2019 |
| An explainable AI-based intrusion detection system for DNS over HTTPS (DoH) attacks T Zebin, S Rezvy, Y Luo IEEE Transactions on Information Forensics and Security 17, 2339-2349, 2022 | 50 | 2022 |
| Intrusion detection and classification with autoencoded deep neural network S Rezvy, M Petridis, A Lasebae, T Zebin International Conference on Security for Information Technology and …, 2018 | 33 | 2018 |
| A deep learning approach for length of stay prediction in clinical settings from medical records T Zebin, S Rezvy, TJ Chaussalet 2019 IEEE Conference on Computational Intelligence in Bioinformatics and …, 2019 | 17 | 2019 |
| Transfer learning for Endoscopy disease detection and segmentation with mask-RCNN benchmark architecture S Rezvy, T Zebin, B Braden, W Pang, S Taylor, XW Gao CEUR Workshop Proceedings 2595, 68-72, 2020 | 16 | 2020 |
| A translational pathway of deep learning methods in gastrointestinal endoscopy S Ali, M Dmitrieva, N Ghatwary, S Bano, G Polat, A Temizel, A Krenzer, ... arXiv preprint arXiv:2010.06034 5 (6), 7, 2020 | 6 | 2020 |
| Instant channel allocation technique to improve system throughput in joint LTE cellular network S Rezvy, S Rahman, A Lasebae, J Loo 2014 28th International Conference on Advanced Information Networking and …, 2014 | 3 | 2014 |
| On demand-based frequency allocation to mitigate interference in Femto-Macro LTE cellular network S Rezvy, S Rahman, A Lasebae, J Loo Second International Conference on Future Generation Communication …, 2013 | 3 | 2013 |
| System capacity improvement by on request channel allocation in LTE cellular network S Rezvy, S Rahman, A Lasebae, J Loo 2014 48th Annual Conference on Information Sciences and Systems (CISS), 1-5, 2014 | 2 | 2014 |
| System capacity Improvement by on request channel allocation in LTE cellular network A Lasebae, S Rahman, S Rezvy The 15th IEEE International Conference on a World of Wireless, Mobile and …, 2014 | | 2014 |
| Downlink femto-macro ICI cancellation by on request channel allocation in LTE network S Rezvy, S Rahman, A Lasebae, J Loo 48th Annual Conference on Information Sciences and Systems (CISS-2014), 2014 | | 2014 |
| Available at https://clok. uclan. ac. uk/37165 S Ali, M Dmitrieva, N Ghatwary, S Bano, G Polat, A Temizel, A Krenzer, ... | | |
Tahmina ZebinSenior Lecturer, Brunel University LondonVerified email at brunel.ac.uk
