*Garbaz, A., Oukdach, Y., Charfi, S., El Ansari, M., Koutti, L. and Salihoun, M., 2024. MLFA-UNet: A Multi-Level Feature Assembly UNet for Medical Image Segmentation. Methods.

 *Charfi, S., EL Ansari, M., Koutti, L., ELjaafari, I. and ELLahyani, A., 2024. Feature Pyramid Network Based Spatial Attention and Cross‐Level Semantic Similarity for Diseases Segmentation From Capsule Endoscopy Images. International Journal of Imaging Systems and Technology, 34(6), p.e23194. 

*Garbaz, A., Oukdach, Y., Charfi, S., El Ansari, M., Koutti, L. and Salihoun, M., 2024, July. Bleeding Segmentation Based on a U-Formed Network with Separable Contextual Feature-Guided in Wireless Capsule Endoscopy Images. In 2024 11th International Conference on Wireless Networks and Mobile Communications (WINCOM) (pp. 1-6). IEEE.

*Charfi, S., El Ansari, M., Koutti, L., Ellahyani, A. and Eljaafari, I., 2024. Abnormalities detection from wireless capsule endoscopy images based on embedding learning with triplet loss. Multimedia Tools and Applications, pp.1-22. 

*Belabbes, M.A., Oukdach, Y., Souaidi, M., Koutti, L. and Charfi, S., 2024. Advancements in Polyp Detection: A Developed Single Shot Multibox Detector Approach. IEEE Access. 

*Charfi, S., Ansari, M.E., Koutti, L., Ellahyani, A. and Eljaafari, I., 2024. Modified residual attention network for abnormalities segmentation and detection in WCE images. Soft Computing, pp.1-14. 

*Garbaz, A., Charfi, S., El Ansari, M., Koutti, L. and Salihoun, M., 2023, November. Bleeding Segmentation Based on a Bleeding Feature Engagement Module in Wireless Capsule Endoscopy. In 2023 17th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) (pp. 294-298). IEEE. 

*Ellahyani, A., Jaafari, I.E., Charfi, S. and Ansari, M.E., 2023. Fine-tuned deep neural networks for polyp detection in colonoscopy images. Personal and Ubiquitous Computing, 27(2), pp.235-247. 

*Charfi, S., El Ansari, M., Ellahyani, A. and El Jaafari, I., 2022. Ulcer and red lesion detection in wireless capsule endoscopy images using CNN. In Convolutional Neural Networks for Medical Image Processing Applications (pp. 91-108). CRC Press. 

*Garbaz, A., Lafraxo, S., Charfi, S., El Ansari, M. and Koutti, L., 2022, August. Bleeding classification in wireless capsule endoscopy images based on inception-resnet-v2 and cnns. In 2022 IEEE conference on computational intelligence in bioinformatics and computational biology (CIBCB) (pp. 1-6). IEEE. 

*BELABBES, M.A., Koutti, L. and Charfi, S., 2022. Computer-aided diagnosis of polyps, ulcer and bleeding on wireless capsule endoscopy images using deep learning: a systematic review. 2022 IEEE Information Technologies & Smart Industrial Systems (ITSIS), pp.1-5. 

*Lafraxo, S., Ansari, M.E. and Charfi, S., 2022. MelaNet: an effective deep learning framework for melanoma detection using dermoscopic images. Multimedia Tools and Applications, 81(11), pp.16021-16045

. *Ellahyani, A., Jaafari, I.E., Charfi, S. and Ansari, M.E., 2021. Detection of abnormalities in wireless capsule endoscopy based on extreme learning machine. Signal, Image and Video Processing, 15(5), pp.877-884.

 *Charfi, S., El Ansari, M., Ellahyani, A. and El Jaafari, I., 2021. Prelimenary results of red lesion segmentation in WCE images. In E3S Web of Conferences (Vol. 297, p. 01060). EDP Sciences. 

*Ellahyani, A. and Charfi, S., 2021. Computer-aided diagnosis system for ulcer detection in wireless capsule endoscopy images. In Journal of Physics: Conference Series (Vol. 1743, No. 1, p. 012016). IOP Publishing. 

*Charfi, S. and El Ansari, M., 2020. A locally based feature descriptor for abnormalities detection. Soft Computing, 24(6), pp.4469-4481.

 *Charfi, S., El Ansari, M. and Balasingham, I., 2019. Computer‐aided diagnosis system for ulcer detection in wireless capsule endoscopy images. IET Image Processing, 13(6), pp.1023-1030. 

*Souaidi, M., Charfi, S., Abdelouahad, A.A. and El Ansari, M., 2018, April. New features for wireless capsule endoscopy polyp detection. In 2018 International Conference on Intelligent Systems and Computer Vision (ISCV) (pp. 1-6). IEEE. 

*Charfi, S. and Ansari, M.E., 2018. Computer-aided diagnosis system for colon abnormalities detection in wireless capsule endoscopy images. Multimedia Tools and Applications, 77(3), pp.4047-4064. 

*El Ansari, M. and Charfi, S., 2017, November. Computer-aided system for polyp detection in wireless capsule endoscopy images. In 2017 International Conference on Wireless Networks and Mobile Communications (WINCOM) (pp. 1-6). IEEE. 

*Charfi, S. and El Ansari, M., 2017, May. Computer-aided diagnosis system for ulcer detection in wireless capsule endoscopy videos. In 2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP) (pp. 1-5). IEEE. 

*Charfi, S. and Ansari, M.E., 2017, March. Gastrointestinal tract bleeding detection from wireless capsule endoscopy videos. In Proceedings of the second International Conference on Internet of things, Data and Cloud Computing (pp. 1-5).