Collaborative Xmeans-EM clustering for automatic detection and segmentation of moving objects in video. - Hiba Ramadan; Hamid Tairi (AICCSA, 2015)

Moving object segmentation in video using spatiotemporal saliency and laplacian coordinates. - Hiba Ramadan; Hamid Tairi (AICCSA, 2016)

Robust segmentation of moving objects in video based on spatiotemporal visual saliency and active contour model. - Hiba Ramadan; Hamid Tairi (J. Electronic Imaging, 2016)

Boundary connectedness based video cut for moving object segmentation. - Hiba Ramadan; Hamid Tairi (ATSIP, 2017)

Pattern mining-based video saliency detection: Application to moving object segmentation. - Hiba Ramadan; Hamid Tairi (Comput. Electr. Eng., 2018)

Boundary connectedness-based salient video object segmentation. - Hiba Ramadan; Hamid Tairi (J. Electronic Imaging, 2018)

Saliency-guided automatic detection and segmentation of tumor in breast ultrasound images. - Hiba Ramadan; Chaymae Lachqar; Hamid Tairi (Biomed. Signal Process. Control., 2020)

A survey of recent interactive image segmentation methods. - Hiba Ramadan; Chaymae Lachqar; Hamid Tairi (Comput. Vis. Media, 2020)

A robust energy management approach in two-steps ahead using deep learning BiLSTM prediction model and type-2 fuzzy decision-making controller. - Dounia El Bourakadi; Hiba Ramadan; Ali Yahyaouy; Jaouad Boumhidi (Fuzzy Optim. Decis. Mak., 2023)

A novel MLP-Mixer and channel attention based network for medical image segmentation. - Jaouad Tagnamas; Hiba Ramadan; Ali Yahyaouy; Hamid Tairi (ISIVC, 2024)

Multi-task approach based on combined CNN-transformer for efficient segmentation and classification of breast tumors in ultrasound images. - Jaouad Tagnamas; Hiba Ramadan; Ali Yahyaouy; Hamid Tairi (Vis. Comput. Ind. Biomed. Art, 2024)

Correction: Multi-task approach based on combined CNN-transformer for efficient segmentation and classification of breast tumors in ultrasound images. - Jaouad Tagnamas; Hiba Ramadan; Ali Yahyaouy; Hamid Tairi (Vis. Comput. Ind. Biomed. Art, 2024)

SCA-InceptionUNeXt: A lightweight Spatial-Channel-Attention-based network for efficient medical image segmentation. - Jaouad Tagnamas; Hiba Ramadan; Ali Yahyaouy; Hamid Tairi (Knowl. Based Syst., 2025)