| 2024 | WINCOM | A Multi-Modal Feature Fusion-Based Approach for Chest X-Ray Report Generation. | Fatima Cheddi, Ahmed Habbani, Hammadi Nait-Charif |
| 2021 | SIGGRAPH | Enabling Reflective & Refractive Depth Representation in Computer-Generated Holography. | Aaron Demolder, Alfred Newman, Tom Durrant, Hammadi Nait-Charif, Valery Adzhiev, Andrzej Kaczorowski |
| 2019 | CAIP | Over Time RF Fitting for Jitter Free 3D Vertebra Reconstruction from Video Fluoroscopy. | Ioannis Ioannidis, Hammadi Nait-Charif |
| 2019 | ICMV | Long short-term memory networks based fall detection using unified pose estimation. | Kripesh Adhikari, Hamid Bouchachia, Hammadi Nait-Charif |
| 2017 | MVA | Activity recognition for indoor fall detection using convolutional neural network. | Kripesh Adhikari, Hamid Bouchachia, Hammadi Nait-Charif |
| 2013 | ISVC | A Unified Framework for 3D Hand Tracking. | Rudra P. K. Poudel, Jose A. S. Fonseca, Jian J. Zhang, Hammadi Nait-Charif |
| 2012 | ISVC | Vertebrae Tracking in Lumbar Spinal Video-Fluoroscopy Using Particle Filters with Semi-automatic Initialisation. | Hammadi Nait-Charif, Allen Breen, Paul Thompson |
| 2008 | MIG | Automatic Estimation of Skeletal Motion from Optical Motion Capture Data. | ZhiDong Xiao, Hammadi Nait-Charif, Jian J. Zhang |
| 2004 | ICPR | Learning Spatial Context from Tracking using Penalised Likelihoods. | Stephen J. McKenna, Hammadi Nait-Charif |
| 2004 | ICPR | Activity Summarisation and Fall Detection in a Supportive Home Environment. | Hammadi Nait-Charif, Stephen J. McKenna |