| 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 | 230 | 2019 |
| Time extension factors in construction industry of Pakistan SSS Gardezi, IA Manarvi, SJS Gardezi Procedia Engineering 77, 196-204, 2014 | 153 | 2014 |
| 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 | 68 | 2020 |
| Fusion of Structural and Textural Features for Melanoma Recognition F Adjed, F Ababsa, I Faye, SJ Gardezi, SC Dass IET Computer Vision, 2017 | 57 | 2017 |
| Mammogram classification using deep learning features SJS Gardezi, M Awais, I Faye, F Meriaudeau 2017 IEEE International Conference on Signal and Image Processing …, 2017 | 48 | 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 | 38 | 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 | 37 | 2017 |
| 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 | 28* | 2019 |
| 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 | 28 | 2014 |
| 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), 2016 | 26 | 2016 |
| 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 | 23 | 2015 |
| 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 | 17 | 2018 |
| A method to reduce curvelet coefficients for mammogram classification MM Eltoukhy, SJS Gardezi, I Faye 2014 IEEE Region 10 Symposium, 663-666, 2014 | 13 | 2014 |
| 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 | 10 | 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 | 8 | 2017 |
| 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 | 5 | 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 | 5* | 2015 |
| 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 | 4 | 2020 |
| 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 | 4 | 2014 |
| Merlin: A Vision Language Foundation Model for 3D Computed Tomography L Blankemeier, JP Cohen, A Kumar, D Van Veen, SJS Gardezi, ... arXiv preprint arXiv:2406.06512, 2024 | 1 | 2024 |
Ibrahima FayeUniversiti Teknologi PETRONAS在 utp.edu.my 的电子邮件经过验证
