A systematic review of automated melanoma detection in dermatoscopic images and its ground truth data ARA Ali, TM Deserno SPIE Medical Imaging, 83181I-83181I-11, 2012 | 134 | 2012 |
A Fuzzy-enhanced Deep Learning Approach for Early Detection of Covid-19 Pneumonia from Portable Chest X-Ray Images C Ieracitano, N Mammone, M Versaci, G Varone, AR Ali, A Armentano, ... Neurocomputing, 2022 | 118 | 2022 |
Skin cancer detection based on deep learning and entropy to detect outlier samples AGC Pacheco, AR Ali, T Trappenberg arXiv preprint arXiv:1909.04525, 2019 | 61 | 2019 |
A machine learning approach to automatic detection of irregularity in skin lesion border using dermoscopic images AR Ali, J Li, G Yang, SJ O’Shea PeerJ Computer Science 6, e268, 2020 | 43 | 2020 |
Automating the ABCD Rule for Melanoma Detection: A Survey ARH Ali, J Li, G Yang IEEE Access 8, 83333-83346, 2020 | 41 | 2020 |
Towards the automatic detection of skin lesion shape asymmetry, color variegation and diameter in dermoscopic images AR Ali, J Li, SJ O’Shea PLOS ONE 15 (6), e0234352, 2020 | 38 | 2020 |
A novel fuzzy multilayer perceptron (F-MLP) for the detection of irregularity in skin lesion border using dermoscopic images AR Ali, J Li, S Kanwal, G Yang, A Hussain, S Jane O'Shea Frontiers in medicine 7, 297, 2020 | 22 | 2020 |
A Deep Learning Based Approach to Skin Lesion Border Extraction With a Novel Edge Detector in Dermoscopy Images AR Ali, J Li, SJ O’Shea, G Yang, T Trappenberg, X Ye IEEE International Joint Conference on Neural Networks (IJCNN), 2019 | 22 | 2019 |
Supervised Versus Unsupervised Deep Learning Based Methods for Skin Lesion Segmentation in Dermoscopy Images AR Ali, J Li, T Trappenberg 32nd Canadian Conference on Artificial Intelligence (CanadianAI 2019), 2019 | 17 | 2019 |
Evaluating an evolutionary particle swarm optimization for fast fuzzy c-means clustering on liver ct images AR Ali, MS Couceiro, AM Anter, AE Hassanian Computer Vision and Image Processing in Intelligent Systems and Multimedia …, 2014 | 11 | 2014 |
Fuzzy C-Means based on Minkowski distance for liver CT image segmentation AR Ali, MS Couceiro, AE Hassanien, DJ Hemanth Intelligent Decision Technologies 10 (4), 393-406, 2016 | 7 | 2016 |
Smoothed Shock Filtered Defuzzification with Zernike Moments for Liver Tumor Extraction in MR Images A Vacavant, AR Ali, M Grand-Brochier, A Albouy-Kissi, A Alfidja, ... IEEE IPTA 2015: Fifth International Conference on Image Processing Theory …, 2015 | 4 | 2015 |
Self-Supervised Learning for Accurate Liver View Classification in Ultrasound Images with Minimal Labeled Data AR Ali, AE Samir, P Guo Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 3 | 2023 |
A fuzzy approach to liver tumor segmentation with Zernike Moments AR Ali, A Vacavant, M Grand-Brochier, A Albouy-Kissi, JY Boire International Journal of Biomedical and Biological Engineering 9 (7), 559-564, 2015 | 2 | 2015 |
A Novel Fuzzy C-Means Based Defuzzification Approach with an Adapted Minkowski Distance AR Ali, A Albouy-Kissi, A Vacavant, M Grand-brochier, JY Boire 19th Computer Vision Winter Workshop Zuzana Kúkelová and Jan Heller (eds …, 2014 | 2 | 2014 |
Liver Segmentation in Ultrasound Images Using Self-Supervised Learning with Physics-inspired Augmentation and Global-Local Refinement AR Ali, P Guo, AE Samir Canadian AI, 2023 | 1 | 2023 |
A Deep Learning Approach to Deblurring Skin Cancer Images AR Ali, SJ O’Shea, J Li, L Roche British Association of Dermatologists, 99th Annual Meeting, Liverpool, UK, 2019 | 1 | 2019 |
Deep Learning Based Detection of Poor Probe Contact in Liver Ultrasound Images for Enhanced Shear Wave Elastography Acquisition AR Ali, AE Samir UltraCon, 2024 | | 2024 |
AI-SCD: A Deep Learning Approach for Skin-to-Liver Capsule Distance Measurement to Optimize Shear Wave Elastography Performance A Ali, S Hegde, TT Pierce, E Cheah, P Guo, E Lee, F Heidari, A Ozturk, ... Radiological Society of North America (RSNA), 2023 | | 2023 |
Self-Supervised Learning Meets Liver Ultrasound Imaging AR Ali, AE Samir Neural Information Processing Systems (NeurIPS), 2023 | | 2023 |