Jamal Gardezi
Cited by
Cited by
Breast cancer detection and diagnosis using mammographic data: Systematic review
SJS Gardezi, A Elazab, B Lei, T Wang
Journal of medical Internet research 21 (7), e14464, 2019
Time extension factors in construction industry of Pakistan
SSS Gardezi, IA Manarvi, SJS Gardezi
Procedia Engineering 77, 196-204, 2014
Fusion of Structural and Textural Features for Melanoma Recognition
F Adjed, F Ababsa, I Faye, SJ Gardezi, SC Dass
IET Computer Vision, 2017
GP-GAN: Brain tumor growth prediction using stacked 3D generative adversarial networks from longitudinal MR Images
A Elazab, C Wang, SJS Gardezi, H Bai, Q Hu, T Wang, C Chang, B Lei
Neural Networks 132, 321-332, 2020
Mammogram classification using deep learning features
SJS Gardezi, M Awais, I Faye, F Meriaudeau
2017 IEEE International Conference on Signal and Image Processing …, 2017
Mammogram classification using dynamic time warping
SJS Gardezi, I Faye, JMSB Bornot, N Kamel, M Hussain
Multimedia Tools and Applications 77 (3), 3941–3962, 2018
A review on segmentation and modeling of cerebral vasculature for surgical planning
A Ajam, AA Aziz, VS Asirvadam, AS Muda, I Faye, SJS Gardezi
IEEE Access 5, 15222-15240, 2017
Analysis of mammogram images based on texture features of curvelet Sub-bands
SJS Gardezi, I Faye, MM Eltoukhy
Fifth International Conference on Graphic and Image Processing (ICGIP 2013 …, 2014
Fusion of completed local binary pattern features with curvelet features for mammogram classification
SJS Gardezi, I Faye
Applied Mathematics & Information Sciences 9 (6), 3037, 2015
Classification of skin cancer images using local binary pattern and SVM classifier
F Adjed, I Faye, F Ababsa, SJ Gardezi, SC Dass
AIP Conference Proceedings 1787 (1), 080006, 2016
Longitudinal and Multi-modal Data Learning for Parkinson’s Disease Diagnosis via Stacked Sparse Auto-encoder
BL Shiqi Li, Haijun Lei, Feng Zhou, Jamal Gardezi
2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019
A method to reduce curvelet coefficients for mammogram classification
MM Eltoukhy, SJS Gardezi, I Faye
2014 IEEE Region 10 Symposium, 663-666, 2014
Segmentation of pectoral muscles using the adaptive gamma corrections
SJS Gardez, F Adjed, I Faye, N Kamel, MM Eltoukhy
Multimedia tools and applications 77 (3), 3919–3940, 2018
Mammogram classification using curvelet GLCM texture features and GIST features
SJS Gardezi, I Faye, F Adjed, N Kamel, MM Eltoukhy
Proceedings of the International Conference on Advanced Intelligent Systems …, 2017
Mammogram Classification Using Chi-Square Distribution on Local Binary Pattern Features
SJS Gardezi, I Faye, F Adjed, N Kamel, H Muhammad
Journal of Medical Imaging and Health Informatics 7 (1), 30-34, 2017
Mammogram Classification Based on Morphological Component Analysis (MCA) and Curvelet Decomposition
Ibrahima Faye ,Syed Jamal Safdar Gardezi
Neuroscience and Biomedical Engineering 3 (1), 27 - 33, 2015
Machine learning applications in Breast Cancer diagnosis
SJS Gardezi, MM Eltoukhy, I Faye
Handbook of Research on Machine Learning Innovations and Trends, 465-490, 2017
Performance analysis of morphological component analysis (MCA) method for mammograms using some statistical features
SJS Gardezi, I Faye, N Kamel, MM Eltoukhy, M Hussain
AIP Conference Proceedings 1621 (1), 416-421, 2014
Glioma Growth Prediction via Generative Adversarial Learning from Multi-Time Points Magnetic Resonance Images
A Elazab, C Wang, SJS Gardezi, H Bai, T Wang, B Lei, C Chang
2020 42nd Annual International Conference of the IEEE Engineering in …, 2020
Local discrete cosine transform (LDCT) and Curvelet transform for Mammogram Classification
SJS Gardezi, I Faye, N Kamel, F Adjed, MM Eltoukhy
Caspian Journal of Applied Sciences Research 5 (1), 7-14, 2016
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