1.Khaoula Belhaj Soulami, Naima Kaabouch, Mohamed Nabil Saidi, Breast cancer: Classification of suspicious regions in digital mammograms based on capsule network, Biomedical Signal Processing and Control,Volume 76,2022,103696,ISSN 1746-8094.

2.Soulami, KB, Kaabouch, N, Saidi, MN. Breast cancer: Three-class masses classification in mammograms using Apriori dynamic selection. Concurrency Computat Pract Exper. 2022; 34( 24):e7233. doi:10.1002/cpe.7233 

3.Khaoula Belhaj Soulami, Naima Kaabouch, Mohamed Nabil Saidi, Ahmed Tamtaoui, Breast cancer: Onestage automated detection, segmentation, and classification of digital mammograms using UNet model basedsemantic segmentation, Biomedical Signal Processing and Control, Volume 66, 2021, Journal 

4.Khaoula Belhaj Soulami, Naima Kaabouch, Mohamed Nabil Saidi, Ahmed Tamtaoui: An evaluation and ranking of evolutionary algorithms in segmenting abnormal masses in digital mammograms. Multim. Tools Appl. 79(27-28): 18941-18979 (2020) Journal 

5. Khaoula Belhaj Soulami, Mohamed Nabil Saidi, Bouchra Honnit, Chaimae Anibou, Ahmed Tamtaoui: Detection of breast abnormalities in digital mammograms using the electromagnetism-like algorithm. Multim. Tools Appl. 78(10): 12835-12863 (2019) Journal 

6.Khaoula Belhaj Soulami, Elias Ghribi, Mohamed Nabil Saidi, Ahmed Tamtaoui, Naima Kaabouch: Breast Cancer: Segmentation of Mammograms using Invasive Weed optimization and SUSAN algorithms. EIT 2019: 85-91, 2017. Conference 

7.Khaoula Belhaj Soulami, Elias Ghribi, Yassin Labyed, Mohamed Nabil Saidi, Ahmed Tamtaoui, Naima Kaabouch: Mixed-Reality Aided System for Glioblastoma Resection Surgery using Microsoft HoloLens. EIT 2019: 79-84. Conference 

8.Khaoula Belhaj Soulami, Mohamed Nabil Saidi, Ahmed Tamtaoui: A CAD system for the detection and classification of abnormalities in dense mammograms using an electromagnetism-like optimization algorithm. ATSIP 2017: 1-8, 2016. Conference

9.Khaoula Belhaj Soulami, Mohamed Nabil Saidi, Ahmed Tamtaoui: A CAD System for the Detection of Abnormalities in the Mammograms Using the Metaheuristic Algorithm Particle Swarm Optimization (PSO). UNet 2016: 505-517. Conference