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Abder-Rahman Ali
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2020 – today
- 2024
- [c10]Abder-Rahman Ali, Anthony E. Samir:
Simple is More: Efficient Liver View Classification in Ultrasound Images Using Minimal Labeled Data and Simple Neural Network Architecture. DEMI@MICCAI 2024: 105-114 - [i2]Sekeun Kim, Hui Ren, Peng Guo, Abder-Rahman Ali, Patrick Zhang, Kyungsang Kim, Xiang Li, Quanzheng Li:
Prompt-driven Universal Model for View-Agnostic Echocardiography Analysis. CoRR abs/2404.05916 (2024) - 2023
- [c9]Abder-Rahman Ali, Peng Guo, Anthony E. Samir:
Liver Segmentation in Ultrasound Images Using Self-Supervised Learning with Physics-inspired Augmentation and Global-Local Refinement. Canadian AI 2023 - [c8]Abder-Rahman Ali, Anthony E. Samir, Peng Guo:
Self-Supervised Learning for Accurate Liver View Classification in Ultrasound Images with Minimal Labeled Data. CVPR Workshops 2023: 3087-3093 - 2022
- [j5]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
A fuzzy-enhanced deep learning approach for early detection of Covid-19 pneumonia from portable chest X-ray images. Neurocomputing 481: 202-215 (2022) - 2020
- [j4]Abder-Rahman Ali
Automating the ABCD Rule for Melanoma Detection: A Survey. IEEE Access 8: 83333-83346 (2020) - [j3]Abder-Rahman Ali, Jingpeng Li, Guang Yang
A machine learning approach to automatic detection of irregularity in skin lesion border using dermoscopic images. PeerJ Comput. Sci. 6: e268 (2020)
2010 – 2019
- 2019
- [c7]Abder-Rahman Ali, Jingpeng Li
Supervised Versus Unsupervised Deep Learning Based Methods for Skin Lesion Segmentation in Dermoscopy Images. Canadian AI 2019: 373-379 - [c6]Abder-Rahman Ali, Jingpeng Li, Sally Jane O'Shea
A Deep Learning Based Approach to Skin Lesion Border Extraction With a Novel Edge Detector in Dermoscopy Images. IJCNN 2019: 1-7 - [i1]André G. C. Pacheco, Abder-Rahman Ali, Thomas Trappenberg:
Skin cancer detection based on deep learning and entropy to detect outlier samples. CoRR abs/1909.04525 (2019) - 2016
- [j2]Abder-Rahman Ali, Micael S. Couceiro
Fuzzy C-Means based on Minkowski distance for liver CT image segmentation. Intell. Decis. Technol. 10(4): 393-406 (2016) - [p1]Abder-Rahman Ali, Micael S. Couceiro
Particle Swarm Optimization Based Fast Fuzzy C-Means Clustering for Liver CT Segmentation. Applications of Intelligent Optimization in Biology and Medicine 2016: 233-250 - 2015
- [j1]Pedram Ghamisi, Abder-Rahman Ali, Micael S. Couceiro
A Novel Evolutionary Swarm Fuzzy Clustering Approach for Hyperspectral Imagery. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8(6): 2447-2456 (2015) - [c5]Antoine Vacavant, Abder-Rahman Ali, Manuel Grand-Brochier, Adelaide Albouy-Kissi, Agaicha Alfidja, Pascal Chabrot, Jean-Yves Boire:
Smoothed shock filtered defuzzification with Zernike moments for liver tumor extraction in MR images. IPTA 2015: 17-22 - 2014
- [c4]Abder-Rahman Ali, Micael S. Couceiro
PSilhOuette: Towards an Optimal Number of Clusters Using a Nested Particle Swarm Approach for Liver CT Image Segmentation. AMLTA 2014: 331-343 - [c3]Abder-Rahman Ali, Micael S. Couceiro
Melanoma detection using fuzzy C-means clustering coupled with mathematical morphology. HIS 2014: 73-78 - [c2]Abder-Rahman Ali, Micael S. Couceiro
Liver CT Image Segmentation with an Optimum Threshold Using Measure of Fuzziness. IBICA 2014: 83-92 - [c1]Abder-Rahman Ali, Micael S. Couceiro
Fuzzy C-Means Based Liver CT Image Segmentation with Optimum Number of Clusters. IBICA 2014: 131-139
Coauthor Index
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