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Computer Methods and Programs in Biomedicine|October 6, 2021
End-to-end multimodal clinical depression recognition using deep neural networks: A comparative analysisMuhammad Muzammel, Hanan Salam, Alice OthmaniComputer Methods and Programs in Biomedicine|October 2, 2022
A Model of Normality Inspired Deep Learning Framework for Depression Relapse Prediction Using Audiovisual DataAlice Othmani, Assaad-Oussama Zeghina, Muhammad MuzammelArtificial Intelligence in Medicine|February 23, 2025
Artificial Intelligence non-invasive methods for neonatal jaundice detection: A reviewFati Oiza Salami, Muhammad Muzammel, Youssef Mourchid, et al.Computer Methods and Programs in Biomedicine|March 3, 2021
EEG based Major Depressive disorder and Bipolar disorder detection using Neural Networks:A reviewSana Yasin, Syed Asad Hussain, Sinem Aslan, et al.Computer Methods and Programs in Biomedicine|September 28, 2024
Paying attention to uncertainty: A stochastic multimodal transformers for post-traumatic stress disorder detection using videoMamadou Dia, Ghazaleh Khodabandelou, Alice OthmaniFrontiers in Robotics and AI|December 30, 2024
Fostering children's creativity through LLM-driven storytelling with a social robotMaha Elgarf, Hanan Salam, Christopher PetersArtificial Intelligence in Medicine|October 2, 2023
A holistic AI-based approach for pharmacovigilance optimization from patients behavior on social mediaValentin Roche, Jean-Philippe Robert, Hanan SalamPlos One|August 18, 2025
Advancing medical question answering with a knowledge embedding transformerXiang Zhu, Mustaqeem Khan, Abdelmalik Taleb-Ahmed, et al.Computers in Biology and Medicine|April 27, 2023
Machine learning based approaches for clinical and non-clinical depression recognition and depression relapse prediction using audiovisual and EEG modalities: A comprehensive reviewSana Yasin, Alice Othmani, Imran Raza, et al.Pageof 3