Mahmoudi, S. A., Belarbi, M. A., Adoui, M. E., Larhmam, M. A., & Lecron, F. (2018). “Real time web-based toolbox for computer vision”. Journal of Science and Technology of the Arts, 10(2), 3-13.

Sidi Ahmed Mahmoudi, Mohammed El Adoui, Mohammed Amin Belarbi, Mohammed Amine Larhmam, and Fabian Lecron. “Cloud-based platform for computer vision applications”. In Proceedings of the 2017 International Conference on Smart Digital Environment (ICSDE '17). Association for Computing Machinery, New York, NY, USA, 195–200.

Mahmoudi, S.A., Ammar, M., Joris, G.L., Abbou, A. “Real Time GPU-Based Segmentation and Tracking of the Left Ventricle on 2D Echocardiography”. In: Ortuño, F., Rojas, I. (eds) Bioinformatics and Biomedical Engineering. IWBBIO 2016. Lecture Notes in Computer Science(), vol 9656. Springer, Cham.

Larhmam Mohamed, Mahmoudi Sidi, Benjelloun Mohammed, Mahmoudi Said, Manneback Pierre, "A Portable Multi-CPU/Multi-GPU based Vertebra Localization in Sagittal MR Images" in Lecture Notes in Computer Science, 2014, 209-218, ICIAR 2014, Part II, LNCS 8815 (2014)

Mahmoudi Sidi, Lecron Fabian, Manneback Pierre, Benjelloun Mohammed, Mahmoudi Said, "Efficient Exploitation of Heterogeneous Platforms for Vertebra Detection in X-Ray Images" in "Biomedical Engineering International Conference, Biomeic" , Tlemcen, Algérie (2012)

Lecron Fabian, Mahmoudi Sidi, Benjelloun Mohammed, Mahmoudi Said, Manneback Pierre, "Heterogeneous Computing for Vertebra Detection and Segmentation in X-Ray Images" in International Journal of Biomedical Imaging, Volume 2011,, 10.1155/2011, 1-12, 10.1155/2011/640208 (2011)

Mahmoudi Sidi, Lecron Fabian, Manneback Pierre, Benjelloun Mohammed, Mahmoudi Said, "GPU-based segmentation of cervical vertebra in X-Ray images" in "IEEE International Conference on Cluster Computing" , Crete, Greece (2010)

Mahmoudi Sidi, Stassin Sédrick, Daho Mostafa El Habib, Lessage Xavier, Mahmoudi Said, "Explainable Deep Learning for Covid-19 Detection Using Chest X-ray and CT-Scan Images" in "Intelligent Healthcare Informatics for Fighting the COVID-19 and Other Pandemics and Epidemics" , Springer (2021)

El Habib Daho, M., Khouani, A., Lazouni, M.E.A., Mahmoudi, S.A. (2021). Explainable Deep Learning Model for COVID-19 Screening in Chest CT Images. In: Motahhir, S., Bossoufi, B. (eds) Digital Technologies and Applications. ICDTA 2021. Lecture Notes in Networks and Systems, vol 211. Springer, Cham. https://doi.org/10.1007/978-3-030-73882-2_89

X. Lessage, S. Mahmoudi, S. Mahmoudi, S. Laraba, O. Debauche, and M. A. Belarbi. "Deep Convolutional Neural Networks (CNN) for COVID-19 classification in chest X-ray images with Explainable Artificial Intelligence (XAI)." International Journal of Computer Assisted Radiology and Surgery, 16 (Suppl 1) - S1-S119, S1-S119 (21 June 2021): 64-65.

Debauche Olivier, Mahmoudi Said, Mahmoudi Sidi, Manneback Pierre, "A new Collaborative Platform for Covid-19, Benchmark Datasets" in "Intelligent Healthcare Informatics for Fighting the COVID-19 and Other Pandemics and Epidemics", Springer (2021)

Mahmoudi Said, Lessage Xavier, Giudice Fiona, Murgo Salvatore, Mahmoudi Sidi, "Breast cancer detection in digital mammography with convolutional neural network: retrospective study in Belgium" in International Journal of Computer Assisted Radiology and Surgery, 16 (Suppl 1) - S1–S119 , S1–S119 , 69-70 (2021)

Lessage Xavier, Nedoszytko Michal, Piussi Carlo, Mahmoudi Said, Mahmoudi Sidi, "Deep Convolutional Neural Networks (CNN) for classification of coronary arteries" in International Journal of Computer Assisted Radiology and Surgery (2020)

Khouani Amine, Daho Mostafa El Habib, Mahmoudi Sidi, Chikh Mohammed Amine, Benzineb Brahim, "Automated recognition of white blood cells using deep learning" in Biomedical Engineering Letters (2020)

Giudice Fiona, WEBER Terry, Lessage Xavier, Mahmoudi Said, Mahmoudi Sidi, Siebert Xavier, "Deep Convolutional Neural Networks (CNN) for mammographic abnormalities detection and segmentation" in International Journal of Computer Assisted Radiology and Surgery (2020)

El Adoui Mohammed, Mahmoudi Sidi, LARHMAM Mohamed Amine, Benjelloun Mohammed, "MRI Breast Tumor Segmentation Using Different Encoder and Decoder CNN Architectures" in Computers, 8, 3, 52-63,

Mahmoudi Said, Lecron Fabian, Wilmet Vincent, Mahmoudi Sidi, "Fusion based computer-aided biopsy for early diagnosis of liver cancer" in International Journal of Computer Assisted Radiology and Surgery, 2017

Mahmoudi Sidi, Ammar Mohammed, Luque Joris Guillaume, Abbou Amine, "Real Time GPU-Based Segmentation and Tracking of the Left Ventricle on 2D Echocardiography" in "International work-conference on bioinformatics and bimedical engineering", Springer, 978-84-16478-76-7