Unsupervised Learning Method for Exploring Students' Mental Stress in Medical Simulation Training. - Yujin Wu; Mohamed Daoudi; Ali Amad; Laurent Sparrow; Fabien D'Hondt (ICMI Companion, 2020)

Goupile: A New Paradigm for the Development and Implementation of Clinical Report Forms. - Niels Martignene; Ali Amad; Julie Bellet; Julien Tabareau; Fabien D'Hondt; Thomas Fovet; Antoine Lamer (MIE, 2022)

Fusion of Physiological and Behavioural Signals on SPD Manifolds with Application to Stress and Pain Detection. - Yujin Wu; Mohamed Daoudi; Ali Amad; Laurent Sparrow; Fabien D'Hondt (SMC, 2022)

Spatial-Temporal Graph Transformer for Surgical Skill Assessment in Simulation Sessions. - Kevin Feghoul; Deise Santana Maia; Mehdi El Amrani; Mohamed Daoudi; Ali Amad (CIARP, 2023)

MMGT: Multimodal Graph-Based Transformer for Pain Detection. - Kevin Feghoul; Deise Santana Maia; Mohamed Daoudi; Ali Amad (EUSIPCO, 2023)

MGRFormer: A Multimodal Transformer Approach for Surgical Gesture Recognition. - Kevin Feghoul; Deise Santana Maia; Mehdi El Amrani; Mohamed Daoudi; Ali Amad (FG, 2024)

Transformer-Based Self-Supervised Multimodal Representation Learning for Wearable Emotion Recognition. - Yujin Wu; Mohamed Daoudi; Ali Amad (IEEE Trans. Affect. Comput., 2024)

Measuring Anxiety Levels with Head Motion Patterns in Severe Depression Population. - Fouad Boutaleb; Emery Pierson; Nicolas Doudeau; Clémence Nineuil; Ali Amad; Mohamed Daoudi (CoRR, 2025)

Wearable-Derived Behavioral and Physiological Biomarkers for Classifying Unipolar and Bipolar Depression Severity. - Yassine Ouzar; Clémence Nineuil; Fouad Boutaleb; Emery Pierson; Ali Amad; Mohamed Daoudi (CoRR, 2025)