Hair removal methods: A comparative study for dermoscopy images Q Abbas, ME Celebi, IF García Biomedical Signal Processing and Control 6 (4), 395-404, 2011 | 198 | 2011 |
Glaucoma-deep: detection of glaucoma eye disease on retinal fundus images using deep learning Q Abbas International Journal of Advanced Computer Science and Applications 8 (6), 2017 | 159 | 2017 |
Automatic recognition of severity level for diagnosis of diabetic retinopathy using deep visual features A Qaisar, F Irene, S Auxiliadora, J Soledad, A Pedro Medical & Biological Engineering & Computing 55 (11), 1959–1974, 2017 | 148 | 2017 |
Pattern classification of dermoscopy images: A perceptually uniform model Q Abbas, ME Celebi, C Serrano, IF Garcia, G Ma Pattern Recognition 46 (1), 86-97, 2013 | 147 | 2013 |
Unsupervised skin lesions border detection via two-dimensional image analysis Q Abbas, I Fondón, M Rashid Computer methods and programs in biomedicine 104 (3), e1-e15, 2011 | 143 | 2011 |
Diabetic retinopathy detection and stage classification in eye fundus images using active deep learning I Qureshi, J MA, Q Abbas Multimedia Tools and Applications 1 (1), 31, 2021 | 118 | 2021 |
Lesion border detection in dermoscopy images using dynamic programming Q Abbas, ME Celebi, I Fondón García, M Rashid Skin Research and Technology 17 (1), 91-100, 2011 | 111 | 2011 |
Recent Development on Detection Methods for the Diagnosis of Diabetic Retinopathy I Qureshi, J Ma, Q Abbas Symmetry 11 (6), 34, 2019 | 105 | 2019 |
A comprehensive review of recent advances on deep vision systems Q Abbas, MEA Ibrahim, MA Jaffar Artificial Intelligence Review 1 (1), 1-36, 2018 | 103 | 2018 |
Melanoma recognition framework based on expert definition of ABCD for dermoscopic images Q Abbas, M Emre Celebi, IF Garcia, W Ahmad Skin Research and Technology 19 (1), e93-e102, 2013 | 96 | 2013 |
A feature‐preserving hair removal algorithm for dermoscopy images Q Abbas, IF Garcia, M Emre Celebi, W Ahmad Skin Research and Technology 19 (1), e27-e36, 2013 | 94 | 2013 |
Medical Image Segmentation Using Deep Semantic-based Methods: A Review of Techniques, Applications and Emerging Trends Q Imran, Y Junhua, A Qaisar, S Kashif, BR Awais, W Abdul, ... Information Fusion 90, 316–352, 2023 | 80 | 2023 |
A perceptually oriented method for contrast enhancement and segmentation of dermoscopy images Q Abbas, IF Garcia, M Emre Celebi, W Ahmad, Q Mushtaq Skin Research and Technology 19 (1), e490-e497, 2013 | 75 | 2013 |
DermoDeep-A classification of melanoma-nevus skin lesions using multi-feature fusion of visual features and deep neural network Q Abbas, MC Emre Multimedia Tools and Applications, 30, 2019 | 68 | 2019 |
Video scene analysis: an overview and challenges on deep learning algorithms Q Abbas, MEA Ibrahim, MA Jaffar Multimedia Tools and Applications, 1-39, 2017 | 68 | 2017 |
Skin tumor area extraction using an improved dynamic programming approach Q Abbas, ME Celebi, IF García Skin Research and Technology 18 (2), 133-142, 2012 | 68 | 2012 |
DeepCAD: A Computer-Aided Diagnosis System for Mammographic Masses Using Deep Invariant Features Q Abbas Computers 5 (4), 2016 | 65 | 2016 |
Breast mass segmentation using region-based and edge-based methods in a 4-stage multiscale system Q Abbas, ME Celebi, IF Garcı́a Biomedical Signal Processing and Control 8 (2), 204-214, 2013 | 62 | 2013 |
Computer‐aided pattern classification system for dermoscopy images Q Abbas, M Emre Celebi, I Fondón Skin Research and Technology 18 (3), 278-289, 2012 | 54 | 2012 |
Driver Fatigue Detection Systems using Multi- sensors, Smartphone and Cloud-based Computing Platforms: A Comparative Analysis Q Abbas, S Abdullah Sensors 21 (1), 41, 2021 | 52 | 2021 |