Prediction of Hearing Loss Based on Auditory Perception: A Preliminary Study. - Muhammad Ilyas 006; Alice Othmani; Amine Naït-Ali (PRIME@MICCAI, 2018)

3D Geometric salient patterns analysis on 3D meshes. - Alice Othmani; Fakhri Torkhani; Jean-Marie Favreau (CoRR, 2019)

Clinical Depression and Affect Recognition with EmoAudioNet. - Emna Rejaibi; Daoud Kadoch; Kamil Bentounes; Romain Alfred; Mohamed Daoudi; Abdenour Hadid; Alice Othmani (CoRR, 2019)

Towards Robust Deep Neural Networks for Affect and Depression Recognition from Speech. - Alice Othmani; Daoud Kadoch; Kamil Bentounes; Emna Rejaibi; Romain Alfred; Abdenour Hadid (ICPR Workshops (2), 2020)

Deep Multi-Facial Patches Aggregation Network For Facial Expression Recognition. - Ahmed Rachid Hazourli; Amine Djeghri; Hanan Salam; Alice Othmani (CoRR, 2020)

Neural Networks based approaches for Major Depressive Disorder and Bipolar Disorder Diagnosis using EEG signals: A review. - Sana Yasin; Syed Asad Hussain; Sinem Aslan; Imran Raza; Muhammad Muzammel; Alice Othmani (CoRR, 2020)

AudVowelConsNet: A Phoneme-Level Based Deep CNN Architecture for Clinical Depression Diagnosis. - Muhammad Muzammel; Hanan Salam; Yann Hoffmann; Mohamed Chetouani; Alice Othmani (CoRR, 2020)

Age estimation from faces using deep learning: A comparative analysis. - Alice Othmani; Abdul Rahman Taleb; Hazem Abdelkawy; Abdenour Hadid (Comput. Vis. Image Underst., 2020)

Interdisciplinary Research in Artificial Intelligence: Challenges and Opportunities. - Remy Kusters; Dusan Misevic; Hugues Berry; Antoine Cully; Yann Le Cunff; Loic Dandoy; Natalia Díaz Rodríguez; Marion Ficher; Jonathan Grizou; Alice Othmani; Themis Palpanas; Matthieu Komorowski; et al. (Frontiers Big Data, 2020)

Computer-aided prediction of hearing loss based on auditory perception. - Muhammad Ilyas 006; Alice Othmani; Amine Naït-Ali (Multim. Tools Appl., 2020)

Auditory perception based system for age classification and estimation using dynamic frequency sound. - Muhammad Ilyas 006; Alice Othmani; Amine Naït-Ali (Multim. Tools Appl., 2020)

Identification of Signs of Depression Relapse using Audio-visual Cues: A Preliminary Study. - Muhammad Muzammel; Alice Othmani; Himadri Mukherjee; Hanan Salam (CBMS, 2021)

How Intense Are Your Words? Understanding Emotion Intensity from Speech. - Himadri Mukherjee; Hanan Salam; Alice Othmani; KC Santosh (ICCT, 2021)

Towards a General Deep Feature Extractor for Facial Expression Recognition. - Liam Schoneveld; Alice Othmani (ICIP, 2021)

End-to-end multimodal clinical depression recognition using deep neural networks: A comparative analysis. - Muhammad Muzammel; Hanan Salam; Alice Othmani (Comput. Methods Programs Biomed., 2021)

EEG based Major Depressive disorder and Bipolar disorder detection using Neural Networks: A review. - Sana Yasin; Syed Asad Hussain; Sinem Aslan; Imran Raza; Muhammad Muzammel; Alice Othmani (Comput. Methods Programs Biomed., 2021)

Multi-facial patches aggregation network for facial expression recognition and facial regions contributions to emotion display. - Ahmed Rachid Hazourli; Amine Djeghri; Hanan Salam; Alice Othmani (Multim. Tools Appl., 2021)

Leveraging recent advances in deep learning for audio-Visual emotion recognition. - Liam Schoneveld; Alice Othmani; Hazem Abdelkawy (Pattern Recognit. Lett., 2021)

A Mobile Monitoring Application for Post-traumatic Stress Disorder. - Sirine Chaari; Chaima El Ouni; Alice Othmani (MICAD, 2022)

BD-Transformer: A Transformer-Based Approach for Bipolar Disorder Classification Using Audio. - Mohamed Ramadan; Hazem Abdelkawy; Mustaqueem; Alice Othmani (MICAD, 2022)

Alzheimer's Disease Detection Using Ensemble Learning and Artificial Neural Networks. - Ahana Bandyopadhyay; Sourodip Ghosh; Moinak Bose; Arun Singh; Alice Othmani; KC Santosh (RTIP2R, 2022)

Significant CC400 Functional Brain Parcellations Based LeNet5 Convolutional Neural Network for Autism Spectrum Disorder Detection. - Alice Othmani; Thibaut Bizet; Tanguy Pellerin; Badr Hamdi; Marc-Antoine Bock; Soumyabrata Dev (RTIP2R, 2022)

Deep Learning-Based Approach for Continuous Affect Prediction From Facial Expression Images in Valence-Arousal Space. - Stephen Khor Wen Hwooi; Alice Othmani; Aznul Qalid Md Sabri (IEEE Access, 2022)

Comparing Learning Methodologies for Self-Supervised Audio-Visual Representation Learning. - Hacene Terbouche; Liam Schoneveld; Oisin Benson; Alice Othmani (IEEE Access, 2022)

MFCC-based Recurrent Neural Network for automatic clinical depression recognition and assessment from speech. - Emna Rejaibi; Ali Komaty; Fabrice Mériaudeau; Said Agrebi; Alice Othmani (Biomed. Signal Process. Control., 2022)

A Model of Normality Inspired Deep Learning Framework for Depression Relapse Prediction Using Audiovisual Data. - Alice Othmani; Assaad Oussama Zeghina; Muhammad Muzammel (Comput. Methods Programs Biomed., 2022)

Using U-Net Network for Efficient Brain Tumor Segmentation in MRI Images. - Jason Walsh; Alice Othmani; Mayank Jain; Soumyabrata Dev (CoRR, 2022)

Predicting Knee Osteoarthritis Pain Severity through A Deep Hybrid Learning Model: Data from the Osteoarthritis Initiative. - Yun Xin Teoh; Alice Othmani; Siew-Li Goh; Juliana Usman; Khin Wee Lai (BIBM, 2023)

A Novel Stochastic Transformer-based Approach for Post-Traumatic Stress Disorder Detection using Audio Recording of Clinical Interviews. - Mamadou Dia; Ghazaleh Khodabandelou; Alice Othmani (CBMS, 2023)

PD-Net: Multi-Stream Hybrid Healthcare System for Parkinson's Disease Detection using Multi Learning Trick Approach. - Mustaqeem Khan 001; Ufaq Khan; Alice Othmani (CBMS, 2023)

Multi-Annotation Attention Model for Video Summarization. - Hacene Terbouche; Maryan Morel; Mariano Rodriguez; Alice Othmani (CVPR Workshops, 2023)

Monitoring Application-driven Continuous Affect Recognition From Video Frames. - Stephen Khor Wen Hwooi; Alice Othmani; Aznul Qalid Md Sabri (IVSP, 2023)

An Ambient Intelligence-Based Approach for Longitudinal Monitoring of Verbal and Vocal Depression Symptoms. - Alice Othmani; Muhammad Muzammel (PRIME@MICCAI, 2023)

Kinship recognition from faces using deep learning with imbalanced data. - Alice Othmani; Duqing Han; Xin Gao; Runpeng Ye; Abdenour Hadid (Multim. Tools Appl., 2023)

Machine learning based approaches for clinical and non-clinical depression recognition and depression relapse prediction using audiovisual and EEG modalities: A comprehensive review. - Sana Yasin; Alice Othmani; Imran Raza; Syed Asad Hussain (Comput. Biol. Medicine, 2023)

EEG-based neural networks approaches for fatigue and drowsiness detection: A survey. - Alice Othmani; Aznul Qalid Md Sabri; Sinem Aslan; Faten Chaieb; Hala Rameh; Romain Alfred; Dayron Cohen (Neurocomputing, 2023)

Stratifying knee osteoarthritis features through multitask deep hybrid learning: Data from the osteoarthritis initiative. - Yun Xin Teoh; Alice Othmani; Khin Wee Lai; Siew-Li Goh; Juliana Usman (Comput. Methods Programs Biomed., 2023)

DWTSRNet: Discrete Wavelet Transform Super Resolution Network for medical single image super-resolution. - Pietro Cestola; Alice Othmani; Amine Lagzouli; Vittorio Sansalone; Luciano Teresi (BIBM, 2024)

Leveraging Auto-distillation and Generative Self-supervised Learning in Residual Graph Transformers for Enhanced Recommender Systems. - Eya Mhedhbi; Youssef Mourchid; Alice Othmani (CSoNet, 2024)

Dbahnet: Dual-Branch Attention-Based Hybrid Network for High-Resolution 3d Micro-Ct Bone Scan Segmentation. - Amine Lagzouli; Peter Pivonka; David Cooper; Vittorio Sansalone; Alice Othmani (ISBI, 2024)

HuBERT-CLAP: Contrastive Learning-Based Multimodal Emotion Recognition using Self-Alignment Approach. - Long H. Nguyen; Nhat Truong Pham; Mustaqeem Khan 001; Alice Othmani; Abdulmotaleb El-Saddik (MMAsia, 2024)

Harnessing Knowledge Distillation for Enhanced Text-to-Text Translation in Low-Resource Languages. - Manar Ouled Ahmed; Zuheng Ming; Alice Othmani (SPECOM (2), 2024)

A Systematic Review of Rare Events Detection Across Modalities Using Machine Learning and Deep Learning. - Yahaya Idris Abubakar; Alice Othmani; Patrick Siarry; Aznul Qalid Md Sabri (IEEE Access, 2024)

Deciphering Knee Osteoarthritis Diagnostic Features With Explainable Artificial Intelligence: A Systematic Review. - Yun Xin Teoh; Alice Othmani; Siew-Li Goh; Juliana Usman; Khin Wee Lai (IEEE Access, 2024)

Video-based continuous affect recognition of children with Autism Spectrum Disorder using deep learning. - Mamadou Dia; Ghazaleh Khodabandelou; Aznul Qalid Md Sabri; Alice Othmani (Biomed. Signal Process. Control., 2024)

Paying attention to uncertainty: A stochastic multimodal transformers for post-traumatic stress disorder detection using video. - Mamadou Dia; Ghazaleh Khodabandelou; Alice Othmani (Comput. Methods Programs Biomed., 2024)

Segmentation of Knee Bones for Osteoarthritis Assessment: A Comparative Analysis of Supervised, Few-Shot, and Zero-Shot Learning Approaches. - Yun Xin Teoh; Alice Othmani; Siew-Li Goh; Juliana Usman; Khin Wee Lai (CoRR, 2024)

Autism classification and monitoring from predicted categorical and dimensional emotions of video features. - Stephen Khor Wen Hwooi; Aznul Qalid Md Sabri; Alice Othmani (Signal Image Video Process., 2024)

PTSD in the wild: a video database for studying post-traumatic stress disorder recognition in unconstrained environments. - Moctar Abdoul Latif Sawadogo; Furkan Pala; Gurkirat Singh; Imen Selmi; Pauline Puteaux; Alice Othmani (Multim. Tools Appl., 2024)

Artificial Intelligence non-invasive methods for neonatal jaundice detection: A review. - Fati Oiza Salami; Muhammad Muzammel; Youssef Mourchid; Alice Othmani (Artif. Intell. Medicine, 2025)

Prediction and detection of terminal diseases using Internet of Medical Things: A review. - Akeem Temitope Otapo; Alice Othmani; Ghazaleh Khodabandelou; Zuheng Ming (Comput. Biol. Medicine, 2025)

Depression detection and subgrouping by using the active and passive EEG paradigms. - Sana Yasin; Alice Othmani; Bouibauan Mohamed; Imran Raza; Syed Asad Hussain (Multim. Tools Appl., 2025)