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Prof. Qaisar Abbas, IEEE Member
Prof. Qaisar Abbas, IEEE Member
Imam Mohammad Ibn Saud Islamic University (IMSIU)
Geverifieerd e-mailadres voor imamu.edu.sa - Homepage
Titel
Geciteerd door
Geciteerd door
Jaar
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
2132011
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
1832017
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
1712023
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
1582021
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
1542017
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
1542013
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
1522011
A comprehensive review of recent advances on deep vision systems
Q Abbas, MEA Ibrahim, MA Jaffar
Artificial Intelligence Review 1 (1), 1-36, 2018
1192018
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
1182011
Recent Development on Detection Methods for the Diagnosis of Diabetic Retinopathy
I Qureshi, J Ma, Q Abbas
Symmetry 11 (6), 34, 2019
1162019
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
992013
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
982013
Video scene analysis: an overview and challenges on deep learning algorithms
Q Abbas, MEA Ibrahim, MA Jaffar
Multimedia Tools and Applications, 1-39, 2017
782017
A Systematic Review in Physiological-based Biometric Recognition System: Current and Future Trends
K Shaheed, M Aihua, I Qureshi, Q Abbas, I Ullah, X Zhang
Archives of Computational Methods in Engineering 1 (1), 50, 2021
772021
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
772019
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
752013
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
702021
DeepCAD: A Computer-Aided Diagnosis System for Mammographic Masses Using Deep Invariant Features
Q Abbas
Computers 5 (4), 2016
692016
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
692012
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
642013
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Artikelen 1–20