Breast Fine Needle Cytological Classification Using Deep Hybrid Architectures. - Hasnae Zerouaoui; Ali Idri; Fatima Zahrae Nakach; Ranya El Hadri (ICCSA (2), 2021)

Random Forest Based Deep Hybrid Architecture for Histopathological Breast Cancer Images Classification. - Fatima Zahrae Nakach; Hasnae Zerouaoui; Ali Idri (ICCSA (2), 2022)

Deep Hybrid AdaBoost Ensembles for Histopathological Breast Cancer Classification. - Fatima Zahrae Nakach; Hasnae Zerouaoui; Ali Idri (WorldCIST (1), 2022)

A Novel Bagged Ensemble Approach for Accurate Histopathological Breast Cancer Classification Using Transfer Learning and Convolutional Neural Networks. - Fatima Zahrae Nakach; Ali Idri (ICAART (Revised Selected Paper), 2023)

Deep Hybrid Bagging Ensembles for Classifying Histopathological Breast Cancer Images. - Fatima Zahrae Nakach; Ali Idri; Hasnae Zerouaoui (ICAART (2), 2023)

Binary classification of multi-magnification histopathological breast cancer images using late fusion and transfer learning. - Fatima Zahrae Nakach; Hasnae Zerouaoui; Ali Idri (Data Technol. Appl., 2023)

Fusion of Real and Synthetic Subtracted Contrast-Enhanced Mammograms for Enhanced Tumor Detection. - Fatima Zahrae Nakach; Ali Idri; Apostolia Tsirikoglou (ICMLA, 2024)

Evaluation of Bagging Ensembles on Multimodal Data for Breast Cancer Diagnosis. - Abdulganiyu Jimoh; Fatima Zahrae Nakach; Ali Idri; Ikram Chairi (Deep-Breath@MICCAI, 2024)

A comprehensive investigation of multimodal deep learning fusion strategies for breast cancer classification. - Fatima Zahrae Nakach; Ali Idri; Evgin Göçeri (Artif. Intell. Rev., 2024)

Multimodal random subspace for breast cancer molecular subtypes prediction by integrating multi-dimensional data. - Fatima Zahrae Nakach; Ali Idri; Gbègninougbo Aurel Davy Tchokponhoue (Multim. Tools Appl., 2025)