Hierarchical segmentation of digital mammography by agents competition. - Ahlem Melouah; Hayet Farida Merouani (ICDIM, 2008)

A Novel Region Growing Segmentation Algorithm for Mass Extraction in Mammograms. - Ahlem Melouah (Modeling Approaches and Algorithms for Advanced Computer Applications, 2013)

Comparison of Automatic Seed Generation Methods for Breast Tumor Detection Using Region Growing Technique. - Ahlem Melouah (CIIA, 2015)

A Novel Automatic Seed Placement Approach for Region Growing segmentation in Mammograms. - Ahlem Melouah; Soumaya Layachi (IPAC, 2015)

Overview of automatic seed selection methods for biomedical images segmentation. - Ahlem Melouah; Soumia Layachi (Int. Arab J. Inf. Technol., 2018)

Novel automatic seed selection approach for mass detection in mammograms. - Ahlem Melouah; Soumia Layachi (Int. J. Comput. Sci. Eng., 2019)

Improving mass discrimination in mammogram-CAD system using texture information and super-resolution reconstruction. - Sawsen Boudraa; Ahlem Melouah; Hayet Farida Merouani (Evol. Syst., 2020)

W-net and inception residual network for skin lesion segmentation and classification. - Khouloud Sahib; Ahlem Melouah; Fadel Touré; Amel Slimen (Appl. Intell., 2022)

Multi-agents system for breast tumour detection in mammography by deep learning pre-processing and watershed segmentation. - Hayet Saadi; Hayet Farida Merouani; Ahlem Melouah; Zahia Guessoum; Saida Lemnadjlia; Nacereddine Boukabach (Int. J. Comput. Vis. Robotics, 2022)

EA-GAN: enhanced attention generative adversarial network applied to hair removal in dermoscopy images. - Ghada Halladja; Akila Djebbar; Ahmed Boulemden; Ahlem Melouah; Yousra Mebarki (Signal Image Video Process., 2025)