Dr Hanem Ellethy
Associate Lecturer
School of Electrical Engineering and Computer Science
Journal Articles
Zaazouee, Mohamed Sayed, Nada, Eman Ayman, Al-kafarna, Mohammed, Shaheen, Ahmed, Ramu, Shivabalan Kathavarayan, Hafez, Abdelrahman H., Matar, Sajeda Ghassan, Assar, Ahmed, Elshennawy, Mohamed, Abu El-Enien, Hazem, Redwan, Hala Jamal, Elsayed, Sarah Makram, Omran, Maha Jabir, Salloum, Omar Hammam, Almadhoon, Hossam, Mamdouh, Mohamed, Wahsh, Engy A., Nourelden, Anas Zakarya, Elshanbary, Alaa Ahmed, Abdel-Aziz, Walid, Rashid, Hivan Haji, Basheti, Iman, Ragab, Khaled Mohamed, Masoud, Ahmed Taher, Abushouk, Abdelrahman I., Onyango, Mohamed, Al-Khadher, Aiman, Alsoufi, Abdullah Mohamed, Yousef, Nagwan Mansoor ... Saleh, Aya Abdalhady (2025). A multinational cross-sectional study on the prevalence and predictors of long COVID across 33 countries. Scientific Reports, 15 (1) 28299, 1-13. doi: 10.1038/s41598-025-10120-z
Ellethy, Hanem, Chandra, Shekhar S. and Nasrallah, Fatima A. (2022). Deep neural networks predict the need for CT in pediatric mild traumatic brain injury: a corroboration of the PECARN rule. Journal of the American College of Radiology, 19 (6), 769-778. doi: 10.1016/j.jacr.2022.02.024
Alshayeji, Mohammad H., Ellethy, Hanem, Abed, Sa'ed and Gupta, Renu (2022). Computer-aided detection of breast cancer on the Wisconsin dataset: an artificial neural networks approach. Biomedical Signal Processing and Control, 71 (Part A) 103141, 103141. doi: 10.1016/j.bspc.2021.103141
Ellethy, Hanem, Chandra, Shekhar S. and Nasrallah, Fatima A. (2021). The detection of mild traumatic brain injury in paediatrics using artificial neural networks. Computers in Biology and Medicine, 135 104614, 1-9. doi: 10.1016/j.compbiomed.2021.104614
Alshayeji, Mohammad H., Al-Rousan, Mohammad A., Ellethy, Hanem and Abed, Sa'ed (2018). An efficient multiple sclerosis segmentation and detection system using neural networks. Computers and Electrical Engineering, 71, 191-205. doi: 10.1016/j.compeleceng.2018.07.020
Alshayeji, Mohammad H., Al-Rousan, Mohammad, Yossef, Eman and Ellethy, Hanem (2018). A study on fault tolerance mechanisms in cloud computing. International Journal of Computer and Electrical Engineering, 10 (1), 62-71. doi: 10.17706/ijcee.2018.10.1.62-71
Conference Papers
Ellethy, Hanem, Chandra, Shekhar S. and Vegh, Viktor (2025). TripletResNet: a deep metric learning approach for mTBI diagnosis from 3D CT. 38th Australasian Joint Conference on Artificial Intelligence, AI 2025, Canberra, ACT, Australia, 1–5 December 2025. Singapore, Singapore: Springer Nature Singapore. doi: 10.1007/978-981-95-4972-6_23
Ellethy, Hanem, Vegh, Viktor and Chandra, Shekhar S. (2024). Interpretable 3D multi-modal residual convolutional neural network for mild traumatic brain injury diagnosis. 36th Australasian Joint Conference on Artificial Intelligence, AI 2023, Brisbane, QLD, Australia, 28 November – 1 December 2023. Singapore, Singapore: Springer Nature Singapore. doi: 10.1007/978-981-99-8388-9_39
Abed, Sa’ed, Ellethy, Hanem and AlShayeji, Mohammad (2017). Continuous formal Arabic speech recognition system based on hidden Markov model. 3rd International Conference On Computer Science Networks and Information Technology (ICCSNIT’17), Montreal, Canada, 26-27 August 2017. Delhi, India: IRP Publication.
Thesis
Ellethy, Hanem (2024). Deep learning strategies for enhanced mTBI diagnosis using clinical and CT data. PhD Thesis, School of Electrical Engineering and Computer Science, The University of Queensland. doi: 10.14264/845e7b4