Abder-Rahman Ali

According to our database, Abder-Rahman Ali authored at least 18 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Prompt-driven Universal Model for View-Agnostic Echocardiography Analysis.

Sekeun Kim, Hui Ren, Peng Guo, Abder-Rahman Ali, Patrick Zhang, Kyungsang Kim, Xiang Li, Quanzheng Li

CoRR, 2024

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

Proceedings of the Data Engineering in Medical Imaging - Second MICCAI Workshop, 2024

2023

Self-Supervised Learning for Accurate Liver View Classification in Ultrasound Images with Minimal Labeled Data.

Abder-Rahman Ali, Anthony E. Samir, Peng Guo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

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

Proceedings of the 36th Canadian Conference on Artificial Intelligence, 2023

2022

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, Aziz Sheikh, Giuseppe Sceni, Amir Hussain, Francesco Carlo Morabito

Neurocomputing, 2022

2020

A machine learning approach to automatic detection of irregularity in skin lesion border using dermoscopic images.

Abder-Rahman Ali, Jingpeng Li, Guang Yang, Sally Jane O'Shea

PeerJ Comput. Sci., 2020

Automating the ABCD Rule for Melanoma Detection: A Survey.

Abder-Rahman Ali, Jingpeng Li, Guang Yang

IEEE Access, 2020

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

A Deep Learning Based Approach to Skin Lesion Border Extraction With a Novel Edge Detector in Dermoscopy Images.

Abder-Rahman Ali, Jingpeng Li, Sally Jane O'Shea, Guang Yang, Thomas Trappenberg, Xujiong Ye

Proceedings of the International Joint Conference on Neural Networks, 2019

Supervised Versus Unsupervised Deep Learning Based Methods for Skin Lesion Segmentation in Dermoscopy Images.

Abder-Rahman Ali, Jingpeng Li, Thomas Trappenberg

Proceedings of the Advances in Artificial Intelligence, 2019

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

Proceedings of the Applications of Intelligent Optimization in Biology and Medicine, 2016

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

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

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

Proceedings of the 2015 International Conference on Image Processing Theory, 2015

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, Václav Snásel

Proceedings of the Fifth International Conference on Innovations in Bio-Inspired Computing and Applications, 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, Václav Snásel

Proceedings of the Fifth International Conference on Innovations in Bio-Inspired Computing and Applications, 2014

Melanoma detection using fuzzy C-means clustering coupled with mathematical morphology.

Abder-Rahman Ali, Micael S. Couceiro, Aboul Ella Hassenian

Proceedings of the 14th International Conference on Hybrid Intelligent Systems, 2014

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

Proceedings of the Advanced Machine Learning Technologies and Applications, 2014