Machine Learning and Image Processing for Breast Cancer: A Systematic Map. - Hasnae Zerouaoui; Ali Idri; Khalid El Asnaoui (WorldCIST (3), 2020)

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

Reviewing Machine Learning and Image Processing Based Decision-Making Systems for Breast Cancer Imaging. - Hasnae Zerouaoui; Ali Idri (J. Medical Syst., 2021)

Histological breast cancer classification using CNN and MLP based ensembles. - Hasnae Zerouaoui; Ali Idri; Omar El Alaoui (AICCSA, 2022)

Classifying Breast Cytological Images using Deep Learning Architectures. - Hasnae Zerouaoui; Ali Idri (HEALTHINF, 2022)

Whole-slide Classification of H&E-stained Cervix Uteri Tissue using Deep Neural Networks. - Ferdaous Idlahcen; Pierjos Francis Colere Mboukou; Hasnae Zerouaoui; Ali Idri (KDIR, 2022)

Comparative Assessment of Deep End-To-End, Deep Hybrid and Deep Ensemble Learning Architectures for Breast Cancer Histological Classification. - Hasnae Zerouaoui; Ali Idri (IC3K, 2022)

Assessing the Impact of Deep End-to-End Architectures in Ensemble Learning for Histopathological Breast Cancer Classification. - Hasnae Zerouaoui; Ali Idri; Omar El Alaoui (KDIR, 2022)

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

Deep Stacked Ensemble for Breast Cancer Diagnosis. - Omar El Alaoui; Hasnae Zerouaoui; Ali Idri (WorldCIST (1), 2022)

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

Deep hybrid architectures for binary classification of medical breast cancer images. - Hasnae Zerouaoui; Ali Idri (Biomed. Signal Process. Control., 2022)

Integrating Autoencoder-Based Hybrid Models into Cervical Carcinoma Prediction from Liquid-Based Cytology. - Ferdaous Idlahcen; Ali Idri; Hasnae Zerouaoui (DATA, 2023)

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

Applied Deep Learning Architectures for Breast Cancer Screening Classification. - Asma Zizaan; Ali Idri; Hasnae Zerouaoui (ICAART (3), 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)

A new approach for histological classification of breast cancer using deep hybrid heterogenous ensemble. - Hasnae Zerouaoui; Ali Idri; Omar El Alaoui (Data Technol. Appl., 2023)

AMONuSeg: A Histological Dataset for African Multi-organ Nuclei Semantic Segmentation. - Hasnae Zerouaoui; Gbenga Peter Oderinde; Rida Lefdali; Karima Echihabi; Stephen Peter Akpulu; Nosereme Abel Agbon; Abraham Sunday Musa; Yousef Yeganeh; Azade Farshad; Nassir Navab (MICCAI (9), 2024)

New design strategies of deep heterogenous convolutional neural networks ensembles for breast cancer diagnosis. - Hasnae Zerouaoui; Omar El Alaoui; Ali Idri (Multim. Tools Appl., 2024)

DHHoE: Deep hybrid homogenous ensemble for digital histological breast cancer classification. - Hasnae Zerouaoui; Ali Idri; Omar El Alaoui (Expert Syst. J. Knowl. Eng., 2025)