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ORCIDS. S. Mohamed
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2010 – 2019
- 2011
[j3]Samar Samir Mohamed, J. M. Li, Magdy M. A. Salama, George H. Freeman, Hamid R. Tizhoosh
, Aaron Fenster, K. Rizkalla:
An Automated Neural-Fuzzy Approach to Malignant Tumor Localization in 2D Ultrasonic Images of the Prostate. J. Digit. Imaging 24(3): 411-423 (2011)
2000 – 2009
- 2009
- [j2]S. S. Mohamed, J. Li, Magdy M. A. Salama, George H. Freeman:
Prostate Tissue Texture Feature Extraction for Suspicious Regions Identification on TRUS Images. J. Digit. Imaging 22(5): 503-518 (2009) - [c9]Eric K. T. Hui, S. S. Mohamed, Magdy M. A. Salama, Aaron Fenster:
Prostate TRUS Image Region-Based Feature Extraction and Evaluation. ICIAR 2009: 759-771 - 2008
- [j1]S. S. Mohamed, Magdy M. A. Salama:
Prostate Cancer Spectral Multifeature Analysis Using TRUS Images. IEEE Trans. Medical Imaging 27(4): 548-556 (2008) - 2007
- [c8]J. Li, S. S. Mohamed, Magdy M. A. Salama, George H. Freeman:
Subband-Adaptive and Spatially-Adaptive Wavelet Thresholding for Denoising and Feature Preservation of Texture Images. ICIAR 2007: 24-37 - [c7]J. Li, S. S. Mohamed, Magdy M. A. Salama, George H. Freeman:
Prostate Tissue Texture Feature Extraction for Cancer Recognition in TRUS Images Using Wavelet Decomposition. ICIAR 2007: 993-1004 - 2006
- [c6]S. S. Mohamed, Amr M. Youssef, E. F. El-Saadany, Magdy M. A. Salama:
On the Use of Spectral Clustering for Prostate Tissue Characterization. CCECE 2006: 979-982 - [c5]S. S. Mohamed, Amr M. Youssef, E. F. El-Saadany, Magdy M. A. Salama:
Prostate Tissue Characterization Using TRUS Image Spectral Features. ICIAR (2) 2006: 589-601 - [c4]S. S. Mohamed, Amr M. Youssef, E. F. El-Saadany, M. M. A. Salama:
AIS TLS-ESPRIT feature selection for prostate tissue characterization. Medical Imaging: Image Processing 2006: 614451 - 2005
- [c3]S. S. Mohamed, Amr M. Youssef, E. F. El-Saadany, Magdy M. A. Salama:
Artificial Life Feature Selection Techniques for Prostrate Cancer Diagnosis Using TRUS Images. ICIAR 2005: 903-913 - [c2]Samar Samir Mohamed, Magdy M. A. Salama:
Computer-aided diagnosis for prostate cancer using support vector machine. Medical Imaging: Image-Guided Procedures 2005 - 2004
- [c1]S. S. Mohamed, Magdy M. A. Salama, Mohamed Kamel, K. Rizkalla:
Region of Interest Based Prostate Tissue Characterization Using Least Square Support Vector Machine LS-SVM. ICIAR (2) 2004: 51-58
Coauthor Index
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