Publications

2023
[15]	Self-Supervised Learning for Accurate Liver View Classification in Ultrasound Images With Minimal Labeled Data (Ali, Abder-Rahman, Samir, Anthony E and Guo, Peng), In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023. [bibtex]
[14]	Liver Segmentation in Ultrasound Images Using Self-Supervised Learning with Physics-inspired Augmentation and Global-Local Refinement (Ali, Abder-Rahman, Guo, Peng and Samir, Anthony E), In The 36th Canadian Conference on Artificial Intelligence, 2023. [bibtex]
2022
[13]	A fuzzy-enhanced deep learning approach for early detection of Covid-19 pneumonia from portable chest X-ray images (Ieracitano, Cosimo, Mammone, Nadia, Versaci, Mario, Varone, Giuseppe, Ali, Abder-Rahman, Armentano, Antonio, Calabrese, Grazia, Ferrarelli, Anna, Turano, Lorena, Tebala, Carmela and others), In Neurocomputing, Elsevier, volume 481, 2022. [bibtex]
2020
[12]	Towards the automatic detection of skin lesion shape asymmetry, color variegation and diameter in dermoscopic images (Ali, Abder-Rahman, Li, Jingpeng and O’Shea, Sally Jane), In Plos one, Public Library of Science San Francisco, CA USA, volume 15, 2020. [bibtex]
[11]	A novel fuzzy multilayer perceptron (F-MLP) for the detection of irregularity in skin lesion border using dermoscopic images (Ali, Abder-Rahman, Li, Jingpeng, Kanwal, Summrina, Yang, Guang, Hussain, Amir and Jane O'Shea, Sally), In Frontiers in medicine, Frontiers Media SA, volume 7, 2020. [bibtex]
[10]	A machine learning approach to automatic detection of irregularity in skin lesion border using dermoscopic images (Ali, Abder-Rahman, Li, Jingpeng, Yang, Guang and O’Shea, Sally Jane), In PeerJ Computer Science, PeerJ Inc., volume 6, 2020. [bibtex]
[9]	Automating the ABCD rule for melanoma detection: a survey (Ali, Abder-Rahman H, Li, Jingpeng and Yang, Guang), In IEEE Access, IEEE, volume 8, 2020. [bibtex]
2019
[8]	Supervised versus unsupervised deep learning based methods for skin lesion segmentation in dermoscopy images (Ali, Abder-Rahman, Li, Jingpeng and Trappenberg, Thomas), In Advances in Artificial Intelligence: 32nd Canadian Conference on Artificial Intelligence, Canadian AI 2019, Kingston, ON, Canada, May 28–31, 2019, Proceedings 32, 2019. [bibtex]
[7]	Are Neural Networks Effective in Detecting Melanoma Using Genomic Data? (Ali, Abder-Rahman, O'Shea, Sally Jane and Li, Jingpeng), In Advances in Artificial Intelligence: 32nd Canadian Conference on Artificial Intelligence, Canadian AI 2019, Kingston, ON, Canada, May 28–31, 2019, Proceedings 32, 2019. [bibtex]
[6]	A deep learning based approach to skin lesion border extraction with a novel edge detector in dermoscopy images (Ali, Abder-Rahman, Li, Jingpeng, O’Shea, Sally Jane, Yang, Guang, Trappenberg, Thomas and Ye, Xujiong), In 2019 International Joint Conference on Neural Networks (IJCNN), 2019. [bibtex]
2016
[5]	Fuzzy c-means based on minkowski distance for liver ct image segmentation (Ali, Abder-Rahman, Couceiro, Micael S, Hassanien, Aboul Ella and Hemanth, D Jude), In Intelligent Decision Technologies, IOS Press, volume 10, 2016. [bibtex]
2015
[4]	Smoothed shock filtered defuzzification with Zernike moments for liver tumor extraction in MR images (Vacavant, Antoine, Ali, Abder-Rahman, Grand-Brochier, Manuel, Albouy-Kissi, Adelaide, Alfidja, Agaicha, Chabrot, Pascal and Boire, Jean-Yves), In 2015 International Conference on Image Processing Theory, Tools and Applications (IPTA), 2015. [bibtex]
2014
[3]	A Novel Fuzzy C-Means Based Defuzzification Approach with an Adapted Minkowski Distance (Ali, Abder-Rahman, Albouy-Kissi, Adélaide, Vacavant, Antoine, Grand-brochier, Manuel and Boire, Jean-Yves), In 19th Computer Vision Winter Workshop Zuzana Kúkelová and Jan Heller (eds.) K\vrtiny, Czech Republic, 2014. [bibtex]
[2]	Evaluating an evolutionary particle swarm optimization for fast fuzzy c-means clustering on liver ct images (Ali, Abder-Rahman, Couceiro, Micael S, Anter, Ahmed M and Hassanian, Aboul Ella), Chapter in Computer Vision and Image Processing in Intelligent Systems and Multimedia Technologies, IGI Global, 2014. [bibtex]
2012
[1]	A systematic review of automated melanoma detection in dermatoscopic images and its ground truth data (Ali, Abder-Rahman A and Deserno, Thomas M), In Medical Imaging 2012: Image Perception, Observer Performance, and Technology Assessment, SPIE, volume 8318, 2012. [bibtex]