Publications
Journal articles
Marimón, E., Marsden, P.A., Nait-Charif, H. and Diáz, O., 2021. A semi-empirical model for scatter field reduction in digital mammography. Physics in Medicine and Biology, 66 (4).
Guelzim, I., Amkoui, A. and Nait-Charif, H., 2020. Part-Based Lumbar Vertebrae Tracking in Videofluoroscopy Using Particle Filter. Int. J. Comput. Vis. Image Process., 10, 29-44.
Arifoglu, D., Charif, H.N. and Bouchachia, A., 2020. Detecting indicators of cognitive impairment via Graph Convolutional Networks. Engineering Applications of Artificial Intelligence, 89.
Poudel, R.P.K., Fonseca, J.A.S., Zhang, J.J. and Nait-Charif, H., 2013. A unified framework for 3D hand tracking. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8033 LNCS (PART 1), 129-139.
Nait-Charif, H., 2010. Complex-valued neural networks fault tolerance in pattern classification applications. Proceedings - 2010 2nd WRI Global Congress on Intelligent Systems, GCIS 2010, 3, 154-157.
Chapters
Poudel, R.P.K., Nait-Charif, H., Zhang, J.J. and Liu, D., 2012. Region-based skin color detection. 301-306.
Xiao, Z., Nait-Charif, H. and Zhang, J.J., 2008. Automatic estimation of skeletal motion from optical motion capture data. 144-153.
Nait-Charif, H., Ohmameuda, T., Kaneko, K. and Ito, H., 1997. Dynamic construction of fault tolerant feedforward neural networks. IEICE Technical Report. IEICE (Institute of Electronics, Information and Communication Engineers), 31-38.
Nait-Charif, H. and Ito, H., 1996. A learning algorithm for fault tolerant feedforward neural networks. IEICE Technical Report. IEICE (Institute of Electronics, Information and Communication Engineers), 23-30.
Nait-Charif, H., Ohmameuda, T. and Ito, H., 1995. Training method for fault tolerant feedforward neural networks. Proceedings of IEICE Fall Conference. IEICE (Institute of Electronics, Information and Communication Engineers).
Conferences
Demolder, A., Newman, A., Durrant, T., Nait-Charif, H., Adzhiev, V. and Kaczorowski, A., 2021. Enabling Reflective & Refractive Depth Representation in Computer-Generated Holography. In:.
Adhikari, K., Bouchachia, H. and Nait-Charif, H., 2020. Long short-term memory networks based fall detection using unified pose estimation. In:.
Glynos, C.M., Glynos, M.C., Aina, O.O. and Nait-Charif, H., 2019. Assessing the efficacy of the dynamic eye misalignment retroversion system (DEMRS) prototype with normal and strabismus subjects. In:. 39-46.
Aguilera-Canon, M.C., Wainwright, T., Yang, X. and Nait-Charif, H., 2019. Mixed Reality-Based Simulator for Training on Imageless Navigation Skills in Total Hip Replacement Procedures. In:. 30-34.
Ioannidis, I. and Nait-Charif, H., 2019. Over Time RF Fitting for Jitter Free 3D Vertebra Reconstruction from Video Fluoroscopy. In:. 49-61.
Grants
Grants
- Handheld based point of sale system. (InnovateUK, 1 April 2011). Awarded
- Handheld based point of sale system. (InnovateUK, 1 April 2011). Awarded
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