PSilhOuette: Towards an Optimal Number of Clusters Using a Nested Particle Swarm Approach for Liver CT Image Segmentation. - Abder-Rahman Ali; Micael S. Couceiro; Aboul Ella Hassenian (AMLTA, 2014)

Melanoma detection using fuzzy C-means clustering coupled with mathematical morphology. - Abder-Rahman Ali; Micael S. Couceiro; Aboul Ella Hassenian (HIS, 2014)

Liver CT Image Segmentation with an Optimum Threshold Using Measure of Fuzziness. - Abder-Rahman Ali; Micael S. Couceiro; Ahmed M. Anter; Aboul Ella Hassanien; Mohamed F. Tolba 001; Václav Snásel (IBICA, 2014)

Fuzzy C-Means Based Liver CT Image Segmentation with Optimum Number of Clusters. - Abder-Rahman Ali; Micael S. Couceiro; Aboul Ella Hassanien; Mohamed F. Tolba 001; Václav Snásel (IBICA, 2014)

Smoothed shock filtered defuzzification with Zernike moments for liver tumor extraction in MR images. - Antoine Vacavant; Abder-Rahman Ali; Manuel Grand-Brochier; Adelaide Albouy-Kissi; Agaicha Alfidja; Pascal Chabrot; Jean-Yves Boire (IPTA, 2015)

A Novel Evolutionary Swarm Fuzzy Clustering Approach for Hyperspectral Imagery. - Pedram Ghamisi; Abder-Rahman Ali; Micael S. Couceiro; Jón Atli Benediktsson (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015)

Fuzzy C-Means based on Minkowski distance for liver CT image segmentation. - Abder-Rahman Ali; Micael S. Couceiro; Aboul Ella Hassanien; D. Jude Hemanth (Intell. Decis. Technol., 2016)

Particle Swarm Optimization Based Fast Fuzzy C-Means Clustering for Liver CT Segmentation. - Abder-Rahman Ali; Micael S. Couceiro; Ahmed M. Anter; Aboul Ella Hassanien (Applications of Intelligent Optimization in Biology and Medicine, 2016)

Supervised Versus Unsupervised Deep Learning Based Methods for Skin Lesion Segmentation in Dermoscopy Images. - Abder-Rahman Ali; Jingpeng Li 001; Thomas Trappenberg (Canadian AI, 2019)

A Deep Learning Based Approach to Skin Lesion Border Extraction With a Novel Edge Detector in Dermoscopy Images. - Abder-Rahman Ali; Jingpeng Li 001; Sally Jane O'Shea; Guang Yang 006; Thomas Trappenberg; Xujiong Ye (IJCNN, 2019)

Skin cancer detection based on deep learning and entropy to detect outlier samples. - André G. C. Pacheco; Abder-Rahman Ali; Thomas Trappenberg (CoRR, 2019)

Automating the ABCD Rule for Melanoma Detection: A Survey. - Abder-Rahman Ali; Jingpeng Li 001; Guang Yang 006 (IEEE Access, 2020)

A machine learning approach to automatic detection of irregularity in skin lesion border using dermoscopic images. - Abder-Rahman Ali; Jingpeng Li 001; Guang Yang 006; Sally Jane O'Shea (PeerJ Comput. Sci., 2020)

A fuzzy-enhanced deep learning approach for early detection of Covid-19 pneumonia from portable chest X-ray images. - Cosimo Ieracitano; Nadia Mammone; Mario Versaci; Giuseppe Varone; Abder-Rahman Ali; Antonio Armentano; Grazia Calabrese; Anna Ferrarelli; Lorena Turano; Carmela Tebala; Zain U. Hussain; Zakariya Sheikh; et al. (Neurocomputing, 2022)

Liver Segmentation in Ultrasound Images Using Self-Supervised Learning with Physics-inspired Augmentation and Global-Local Refinement. - Abder-Rahman Ali; Peng Guo; Anthony E. Samir (Canadian AI, 2023)

Self-Supervised Learning for Accurate Liver View Classification in Ultrasound Images with Minimal Labeled Data. - Abder-Rahman Ali; Anthony E. Samir; Peng Guo (CVPR Workshops, 2023)

Simple is More: Efficient Liver View Classification in Ultrasound Images Using Minimal Labeled Data and Simple Neural Network Architecture. - Abder-Rahman Ali; Anthony E. Samir (DEMI@MICCAI, 2024)

Prompt-driven Universal Model for View-Agnostic Echocardiography Analysis. - Sekeun Kim; Hui Ren 001; Peng Guo; Abder-Rahman Ali; Patrick Zhang; Kyungsang Kim; Xiang Li 001; Quanzheng Li (CoRR, 2024)