Automatic segmentation and automatic seed point selection of nasopharyngeal carcinoma from microscopy images using region growing based approach. - Mazin Abed Mohammed; Mohd Khanapi Abd Ghani; Raed Ibraheem Hamed; Mohamad Khir Abdullah; Dheyaa Ahmed Ibrahim (J. Comput. Sci., 2017)

Analysis of an electronic methods for nasopharyngeal carcinoma: Prevalence, diagnosis, challenges and technologies. - Mazin Abed Mohammed; Mohd Khanapi Abd Ghani; Raed Ibraheem Hamed; Dheyaa Ahmed Ibrahim (J. Comput. Sci., 2017)

Review on Nasopharyngeal Carcinoma: Concepts, methods of analysis, segmentation, classification, prediction and impact: A review of the research literature. - Mazin Abed Mohammed; Mohd Khanapi Abd Ghani; Raed Ibraheem Hamed; Dheyaa Ahmed Ibrahim (J. Comput. Sci., 2017)

Artificial neural networks for automatic segmentation and identification of nasopharyngeal carcinoma. - Mazin Abed Mohammed; Mohd Khanapi Abd Ghani; Raed Ibraheem Hamed; Dheyaa Ahmed Ibrahim; Mohamad Khir Abdullah (J. Comput. Sci., 2017)

Solving vehicle routing problem by using improved genetic algorithm for optimal solution. - Mazin Abed Mohammed; Mohd Khanapi Abd Ghani; Raed Ibraheem Hamed; Salama A. Mostafa; Mohd Sharifuddin Ahmad; Dheyaa Ahmed Ibrahim (J. Comput. Sci., 2017)

Solving vehicle routing problem by using improved K-nearest neighbor algorithm for best solution. - Mazin Abed Mohammed; Mohd Khanapi Abd Ghani; Raed Ibraheem Hamed; Salama A. Mostafa; Dheyaa Ahmed Ibrahim; Humam Khaled Jameel; Ahmed Hamed Alallah (J. Comput. Sci., 2017)

A real time computer aided object detection of nasopharyngeal carcinoma using genetic algorithm and artificial neural network based on Haar feature fear. - Mazin Abed Mohammed; Mohd Khanapi Abd Ghani; Arunkumar N.; Raed Ibraheem Hamed; Mohamad Khir Abdullah; Burhanuddin Mohd Aboobaider (Future Gener. Comput. Syst., 2018)

The potential of nonparametric model in foundation bearing capacity prediction. - Saadya Fahad Jabbar; Raed Ibraheem Hamed; Asmaa Hussein Alwan (Neural Comput. Appl., 2018)

Examining multiple feature evaluation and classification methods for improving the diagnosis of Parkinson's disease. - Salama A. Mostafa; Aida Mustapha; Mazin Abed Mohammed; Raed Ibraheem Hamed; Arunkumar N.; Mohd Khanapi Abd Ghani; Mustafa Musa Jaber; Shihab Hamad Khaleefah (Cogn. Syst. Res., 2019)