A Multi-Task Convolutional Neural Network For Blind Stereoscopic Image Quality Assessment Using Naturalness Analysis. - Salima Bourbia; Ayoub Karine; Aladine Chetouani; Mohammed El Hassouni (ICIP, 2021)

No-reference Point Clouds Quality Assessment using Transformer and Visual Saliency. - Salima Bourbia; Ayoub Karine; Aladine Chetouani; Mohammed El Hassouni; Maher Jridi (QoEVMA @ ACM Multimedia, 2022)

Blind Projection-based 3D Point Cloud Quality Assessment Method using a Convolutional Neural Network. - Salima Bourbia; Ayoub Karine; Aladine Chetouani; Mohammed El Hassouni (VISIGRAPP (4: VISAPP), 2022)

Multi-stream Point-based model for Blind Geometric Point Cloud Quality Assessment. - Salima Bourbia; Ayoub Karine; Aladine Chetouani; Mohammed El Hassouni; Maher Jridi (CBMI, 2023)

No-Reference 3D Point Cloud Quality Assessment Using Multi-View Projection and Deep Convolutional Neural Network. - Salima Bourbia; Ayoub Karine; Aladine Chetouani; Mohammed El Hassouni; Maher Jridi (IEEE Access, 2023)

Blind Point Cloud Quality Assessment via 3D Visual Saliency and Point-Based Neural Network. - Salima Bourbia; Ayoub Karine; Aladine Chetouani; Mohammed El Hassouni; Maher Jridi (IPTA, 2024)

NSS-MDL: Natural Scene Statistics-guided multi-task deep learning for no-reference point cloud quality assessment. - Salima Bourbia; Ayoub Karine; Aladine Chetouani; Mohammed El Hassouni; Maher Jridi (Intell. Syst. Appl., 2025)