Journal Articles

• Cheddi, F., Habbani, A., Nait-Charif, H., 2025. Enhancing Automated Medical Report Generation: A Method Based on Semantic-Guidance and Dual Stage Alignment. International Journal of Online and Biomedical Engineering, 21 (12), 42-62.
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• Cheddi, F., Habbani, A., Nait-Charif, H., 2025. Explainable Approach Using Semantic-Guided Alignment for Radiology Imaging Diagnosis. International Journal of Advanced Computer Science and Applications, 16 (7), 629-639.
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• Huang, J., Yu, H., Zhang, J., Nait-Charif, H., 2024. Point'n Move: Interactive scene object manipulation on Gaussian splatting radiance fields. Iet Image Processing, 18 (12), 3507-3517.
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• Marimón, E., Marsden, P.A., Nait-Charif, H., Diáz, O., 2021. A semi-empirical model for scatter field reduction in digital mammography. Physics in Medicine and Biology, 66 (4).
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• Arifoglu, D., Charif, H.N., Bouchachia, A., 2020. Detecting indicators of cognitive impairment via Graph Convolutional Networks. Engineering Applications of Artificial Intelligence, 89.
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• Guelzim, I., Amkoui, A., Nait-Charif, H., 2020. Part-Based Lumbar Vertebrae Tracking in Videofluoroscopy Using Particle Filter. Int. J. Comput. Vis. Image Process., 10, 29-44.
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• Poudel, R.P.K., Fonseca, J.A.S., Zhang, J.J., 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.
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• 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.
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• Taleb, T., Bottazzi, D., Guizani, M., Nait-Charif, H., 2009. ANGELAH: A Framework for Assisting Elders At Home. IEEE Journal on Selected Areas in Communications, 27, 480-494.
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• Xiao, Z., Nait-Charif, H., Zhang, J.J., 2009. Real time automatic skeleton and motion estimation for character animation. Computer Animation and Virtual Worlds, 20, 523-531.
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• McKenna, S.J., Nait-Charif, H., 2007. Tracking human motion using auxiliary particle filters and iterated likelihood weighting. Image and Vision Computing, 25, 852-862.
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• McKenna, S.J., Nait-Charif, H., 2006. Tracking the activity of participants in a meeting. Machine Vision and Applications, 17, 83-93.
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• McKenna, S.J., Nait-Charif, H., 2004. Summarising contextual activity and detecting unusual inactivity in a supportive home environment. Pattern Analysis and Applications, 7, 386-401.
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• Bhuiyan, I.H., Hasan, M.K., Nait-Charif, H., Yahagi, T., 2001. Image compression with neural networks using dynamic construction algorithm. Journal of Signal Processing, 5, 445-454.
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• Daoudi, E., Jaara, E.M., Nait-Charif, H., 2001. Parallelisation de la compression d'image (parallelization of neural network-based image compression). Reseaux et Systeme Repartis, 361-369.
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• Zouggar, S., Nait-Charif, H., Azizi, M., 2000. Neural control and transient analysis of the LCL-type resonant converter. The European Physical Journal - Applied Physics, 11, 21-27.
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• Nait-Charif, H., Ito, H., 1998. Improving the performance of feedforward neural networks by noise injection into hidden neurons. Journal of Intelligent and Robotic Systems, 21, 103-115.
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• Nait-Charif, H., Ohmameuda, T., Kaneko, K., Ito, H., 1998. Dynamic constructive fault tolerant algorithm for feedforward neural networks. IEICE Transactions on Information and Systems, E81-D, 115-123.
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• Nait-Charif, H., Ito, H., 1998. On the activation function and fault tolerance in feedforward neural networks. IEICE Transactions on Information and Systems, E81-D, 66-72.
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• Nait-Charif, H., Ito, H., 1997. A learning algorithm for fault tolerant feedforward neural networks. IEICE Transactions on Information and Systems, E80-D, 21-27.
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Chapters

• Poudel, R.P.K., Nait-Charif, H., Zhang, J.J., Liu, D., 2012. Region-based skin color detection. 301-306.
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• Xiao, Z., Nait-Charif, H., Zhang, J.J., 2008. Automatic Estimation of Skeletal Motion from Optical Motion Capture Data. Motion in Games - First International Workshop, MIG 2008, Revised Papers. Springer, 144-153.
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• Nait-Charif, H., McKenna, S.J., 2004. Activity summarisation and fall detection in a supportive home environment. In: Kittler, J., Petrou, M., Nixon, M., eds. Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004. Los Alamitos: IEEE Computer Society, 323-326.
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• McKenna, S.J., Nait-Charif, H., 2004. Learning spatial context from tracking using penalized likelihood estimation. In: Kittler, J., Petrou, M., Nixon, M., eds. Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004. Los Alamitos: IEEE Computer Society, 138-141.
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• Nait-Charif, H., McKenna, S.J., 2004. Tracking poorly modeled motion using particle filters with iterated likelihood weighting. In: Hong, K.-S., Zhang, Z., eds. ACCV 2004 : proceedings of the sixth Asian conference on computer vision. Seoul(?): Asian Federation of Computer Vision Societies, 156-161.
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• Nait-Charif, H., Salam, F., 2000. Neural networks-based image compression system. Proceedings of the 43rd IEEE Midwest Symposium on Circuits and Systems. Lansing, MI, USA: IEEE, 446-449.
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• Nait-Charif, H., Ohmameuda, T., Kaneko, K., Ito, H., 1997. Fault tolerant constructive algorithm for feedforward neural networks. Proceedings of the 1997 Pacific Rim International Symposium on Fault-Tolerant Systems. Washington, DC, USA: IEEE Computer Society, 215-220.
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• Nait-Charif, H., Nasir, A., Ito, H., 1997. Improving fault tolerance and generalization ability by noise injection into hidden neurons. Proceedings of the IEICE Spring Conference. IEICE (Institute of Electronics, Information and Communication Engineers), 238.
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• Nasir, A., Nait-Charif, H., Ito, H., 1997. Output smoothing: a learning algorithm for fault tolerant neural networks. Proceedings of the IEICE Spring Conference. IEICE (Institute of Electronics, Information and Communication Engineers), 239.
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• Nait-Charif, H., Ohmameuda, T., Kaneko, K., Ito, H., 1997. Dynamic construction of fault tolerant feedforward neural networks. IEICE Technical Report. IEICE (Institute of Electronics, Information and Communication Engineers), 31-38.
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• Nait-Charif, H., Ito, H., 1996. A new energy function for fault tolerant neural networks. Proceedings of IEICE Spring Conference. IEICE (Institute of Electronics, Information and Communication Engineers), 203.
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• Nait-Charif, H., 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.
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• Nait-Charif, H., Ohmameuda, T., Ito, H., 1995. Training method for fault tolerant feedforward neural networks. Proceedings of IEICE Fall Conference. IEICE (Institute of Electronics, Information and Communication Engineers).
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Conferences

• Du, S., Yang, H., Deng, Y., Xie, L., Kong, Y., Zhang, H., Nait-Charif, H., 2026. Summon Arcane: An AI-Driven Pixel Art Game with Interactive Narrative and Immersive Summoning Experience. Lecture Notes in Computer Science, 15915 LNCS, 230-247.
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• Cheddi, F., Habbani, A., Nait-charif, H., 2025. A Novel Method for Generating Ultrasound Report Generation Using a Multi-modal Feature Fusion. Lecture Notes in Networks and Systems, 1397 LNNS, 302-307.
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• Cheddi, F., Habbani, A., Nait-Charif, H., 2024. A Multi-Modal Feature Fusion-Based Approach for Chest X-Ray Report Generation. Proceedings 11th International Conference on Wireless Networks and Mobile Communications Wincom 2024.
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• Cheddi, F., Habbani, A., Nait-Charif, H., 2024. Improving the CXR Reports Generation with Multi-modal feature Alignment and Self-Refining strategy. 2024 3rd International Conference on Embedded Systems and Artificial Intelligence Esai 2024.
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• Demolder, A., Newman, A., Durrant, T., Nait-Charif, H., Adzhiev, V., Kaczorowski, A., 2021. Enabling Reflective & Refractive Depth Representation in Computer-Generated Holography. Special Interest Group on Computer Graphics and Interactive Techniques Conference Posters SIGGRAPH 2021.
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• Adhikari, K., Bouchachia, H., Nait-Charif, H., 2020. Long short-term memory networks based fall detection using unified pose estimation. Proceedings of SPIE the International Society for Optical Engineering, 11433.
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• Glynos, C.M., Glynos, M.C., Aina, O.O., Nait-Charif, H., 2019. Assessing the efficacy of the dynamic eye misalignment retroversion system (DEMRS) prototype with normal and strabismus subjects. ACM International Conference Proceeding Series, 39-46.
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• Ioannidis, I., Nait-Charif, H., 2019. Over Time RF Fitting for Jitter Free 3D Vertebra Reconstruction from Video Fluoroscopy. Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 11679 LNCS, 49-61.
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• Aguilera-Canon, M.C., Wainwright, T., Yang, X., Nait-Charif, H., 2019. Mixed Reality-Based Simulator for Training on Imageless Navigation Skills in Total Hip Replacement Procedures. Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 11462 LNCS, 30-34.
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• Glynos, C.M., Aina, O.O., Nait-Charif, H., 2017. Dynamic eye misalignment retroversion system (DEMRS). Proceedings Applied Imagery Pattern Recognition Workshop.
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• Adhikari, K., Bouchachia, H., Nait-Charif, H., 2017. Activity recognition for indoor fall detection using convolutional neural network. Proceedings of the 15th Iapr International Conference on Machine Vision Applications Mva 2017, 81-84.
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• Marimón, E., Nait-Charif, H., Khan, A., Marsden, P.A., Diaz, O., 2017. Scatter reduction for grid-less mammography using the convolution-based image post-processing technique. Progress in Biomedical Optics and Imaging Proceedings of SPIE, 10132.
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• Marimon, E., Nait-Charif, H., Khan, A., Marsden, P.A., Diaz, O., 2016. Detailed analysis of scatter contribution from different simulated geometries of X-ray detectors. Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 9699, 203-210.
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• Poudel, R.P.K., Fonseca, J.A.S., Zhang, J.J., Nait-Charif, H., 2013. A Unified Framework for 3D Hand Tracking. ADVANCES IN VISUAL COMPUTING, ISVC 2013, PT I, 8033, 129-139.
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• Nait-Charif, H., Breen, A., Thompson, P., 2012. Vertebrae Tracking in Lumbar Spinal Video-Fluoroscopy Using Particle Filters with Semi-automatic Initialisation. In: Bebis, G., Boyle, R., Parvin, B., Koracin, D., Fowlkes, C., Wang, S., Choi, M.-H., Mantler, S., Schulze, J.P., Acevedo, D., Mueller, K., Papka, M.E., eds. International Symposium on Visual Computing (ISVC) 16/07/2012 Crete, Greece. ISVC (2), 7432, 61-69 Springer.
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• Somasekharan, A., Nait-Charif, H., Zhang, J., 2012. Generating Real‐time Muscle Activations for Skeletal Hand Motion: An Evolutionary Approach. In: Computer Graphics International CGI 2012 12/06/2012 Poole.
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• Taleb, T., Bottazzi, D., Nait-Charif, H., 2009. An Advanced Home ElderCare Service. In: HEALTHINF 2009: International Conference on Health Informatics 14/01/2009 Porto, Portugal. , 30-37 NSTICC Press 2009.
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• Xiao, Z., Nait-Charif, H., Zhang, J.J., 2008. Automatic Estimation of Skeletal Motion from Optical Motion Capture Data. MIG, 5277, 144-153 Springer.
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• McKenna, S.J., Nait-Charif, H., Frank, T., 2005. Towards video understanding for laparoscopic surgery: instrument tracking. In: Image and Vision Computing New Zealand Conference 28/11/2005 Dunedin, New Zealand.
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• Aboutni, R., El Hitmy, M., Jaara, E.M., Nait-Charif, H., 2005. Impact of texture images compression using discrete cosine transform on the texture parameters. In: International Conference on Pattern Recognition and Information Processing 05/2005 Minsk, Belarus.
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• McKenna, S.J., Nait-Charif, H., Marquies-Faulkes, F., Newel, A., 2003. Activity monitoring for independent living using ceiling-mounted visual sensors. In: International Conference on Aging, Disability and Independence 12/2003 Virginia, USA.
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• Nait-Charif, H., McKenna, S.J., 2003. Head tracking and action recognition in a smart meeting room. In: IEEE Workshop on Performance Evaluation of Tracking and Surveillance (PETS-ICVS) 24/03/2003 Graz, Austria.
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• Nasri, M., Aboutni, R., El Hitmy, M., Nait-Charif, H., Jender, H., 2003. Cascade system genetic algorithm - multilayer neural network for a supervised classification of texture images. In: Third Workshop on Physics in Signal and Image Processing 29/01/2003 Grenoble, France.
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• Bhuiyan, I.H., Hasan, M.K., Haque, M.A., Nait-Charif, H., 2001. A robust method for image compression using dynamically constructive neural network. In: Boashash, B., Salleh, S.H.S., Abed Meraim, K., eds. Signal Processing and its Applications: Sixth International Symposium 13/08/2001 Kuala Lumpur, Malaysia. , 525-528 Malaysia: Universiti Teknologi Malaysia.
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• Daoudi, E., Jaara, E.M., Nait-Charif, H., 2000. Parallel methods for image compression using multilayer neural networks. In: International Conference on Artificial and Computational Intelligence for Decision, Control and Automation in Engineering and Industrial Applications (ACIDCA 2000) 22/03/2000 Monastir, Tunisia. , 15-20.
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• Zouggar, S., Nait-Charif, H., Azizi, M., 2000. Dynamic analysis and control design of the LCL type resonant convertor. In: International Conference on Artificial and Computational Intelligence for Decision, Control and Automation in Engineering and Industrial Applications (ACIDCA 2000) 22/03/2000 Monastir, Tunisia.
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• Ouriachi, H., Hamad, D., Nait-Charif, H., Barboucha, M., 1999. Unsupervised classification using evolutionary programming approach and Akaike criteria. In: 14th International Symposium on Computers and Information Sciences (ISCIS99) 18/10/1999 Izmir, Turkey.
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• Nait-Charif, H., Ito, H., 1997. Noise injection into hidden neurons: a learning technique for enhancing the performance of feedforward neural networks. In: International Conference on Neural Networks and their Applications (NEURAP97) 03/1997 Marseilles, France. , 245-251.
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• Nait-Charif, H., Ohmameuda, T., Kaneko, K., Ito, H., 1997. Fault tolerant learning technique for neural networks. In: The Institute of Electronics, Information and Communication Engineers (IEICE) Fall Conference 09/1997.
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• Nait-Charif, H., Ito, H., 1996. A fault tolerant learning algorithm for feedforward neural networks. In: International Workshop on Fault Tolerant Parallel Processing 04/1996 Hawaii.
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Posters

• Wu, M., Xiao, Z., Nait-Charif, H., 2021. Graph Representation Learning on Trajectory Encoded Volumetric Heatmaps for Human Motion Generation. In: 16th Women in Machine Learning Workshop (WiML 2021).
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Grants

• Handheld based point of sale system (InnovateUK, 01 Apr 2011). Awarded
• Handheld based point of sale system (InnovateUK, 01 Apr 2011). Awarded