Multi-level Trainable Segmentation for Measuring Gestational and Yolk Sacs from Ultrasound Images. - Dheyaa Ahmed Ibrahim; Hisham Al-Assam; Sabah Jassim; Hongbo Du (MIUA, 2017)

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)

Neural network and multi-fractal dimension features for breast cancer classification from ultrasound images. - Mazin Abed Mohammed; Belal Al-Khateeb; Ahmed Noori Rashid; Dheyaa Ahmed Ibrahim; Mohd Khanapi Abd Ghani; Salama A. Mostafa (Comput. Electr. Eng., 2018)

Genetic case-based reasoning for improved mobile phone faults diagnosis. - Mazin Abed Mohammed; Mohd Khanapi Abd Ghani; Arunkumar N.; Omar Ibrahim Obaid; Salama A. Mostafa; Mustafa Musa Jaber; Burhanuddin Mohd Aboobaider; Bilal Mohammed Matar; Saif khalid abdullatif; Dheyaa Ahmed Ibrahim (Comput. Electr. Eng., 2018)

Computer Aided Solution for Automatic Segmenting and Measurements of Blood Leucocytes Using Static Microscope Images. - Enas W. Abdulhay; Mazin Abed Mohammed; Dheyaa Ahmed Ibrahim; Arunkumar N.; Venkatraman V. (J. Medical Syst., 2018)

A Review of Fog Computing and Machine Learning: Concepts, Applications, Challenges, and Open Issues. - Karrar Hameed Abdulkareem; Mazin Abed Mohammed; Saraswathy Shamini Gunasekaran; Mohammed Nasser Al-Mhiqani; Ammar Awad Mutlag; Salama A. Mostafa; Nabeel Salih Ali; Dheyaa Ahmed Ibrahim (IEEE Access, 2019)

K-Means clustering and neural network for object detecting and identifying abnormality of brain tumor. - Arunkumar N.; Mazin Abed Mohammed; Mohd Khanapi Abd Ghani; Dheyaa Ahmed Ibrahim; Enas W. Abdulhay; Gustavo Ramírez-González 001; Victor Hugo C. de Albuquerque (Soft Comput., 2019)

Fully automatic model-based segmentation and classification approach for MRI brain tumor using artificial neural networks. - Arunkumar N.; Mazin Abed Mohammed; Salama A. Mostafa; Dheyaa Ahmed Ibrahim; Joel J. P. C. Rodrigues; Victor Hugo C. de Albuquerque (Concurr. Comput. Pract. Exp., 2020)

Facial Expression Recognition Using Aggregated Handcrafted Descriptors based Appearance Method. - Dheyaa Ahmed Ibrahim; Dilovan Asaad Zebari; Falah Y. H. Ahmed; Diyar Qader Zeebaree (ICSET, 2021)

Analysis of Dense Descriptors in 3D Face Recognition. - Dilovan Asaad Zebari; Araz Rajab Abrahim; Dheyaa Ahmed Ibrahim; Gheyath M. Othman; Falah Y. H. Ahmed (ICSET, 2021)

Systematic Review of Computing Approaches for Breast Cancer Detection Based Computer Aided Diagnosis Using Mammogram Images. - Dilovan Asaad Zebari; Dheyaa Ahmed Ibrahim; Diyar Qader Zeebaree; Habibollah Haron; Merdin Shamal Salih; Robertas Damasevicius; Mazin Abed Mohammed (Appl. Artif. Intell., 2021)

Adaptive intelligent learning approach based on visual anti-spam email model for multi-natural language. - Mazin Abed Mohammed; Dheyaa Ahmed Ibrahim; Akbal Omran Salman (J. Intell. Syst., 2021)

Effective hybrid deep learning model for COVID-19 patterns identification using CT images. - Dheyaa Ahmed Ibrahim; Dilovan Asaad Zebari; Hussam J. Mohammed; Mazin Abed Mohammed (Expert Syst. J. Knowl. Eng., 2022)

Identifying defective solar cells in electroluminescence images using deep feature representations. - Alaa S. Al-Waisy; Dheyaa Ahmed Ibrahim; Dilovan Asaad Zebari; Shumoos Hammadi; Hussam J. Mohammed; Mazin Abed Mohammed; Robertas Damasevicius (PeerJ Comput. Sci., 2022)

Bio-inspired robotics enabled schemes in blockchain-fog-cloud assisted IoMT environment. - Abdullah Lakhan; Mazin Abed Mohammed; Dheyaa Ahmed Ibrahim; Karrar Hameed Abdulkareem (J. King Saud Univ. Comput. Inf. Sci., 2023)

ITS Based on Deep Graph Convolutional Fraud Detection Network Blockchain-Enabled Fog-Cloud. - Abdullah Lakhan; Mazin Abed Mohammed; Dheyaa Ahmed Ibrahim; Seifedine Nimer Kadry; Karrar Hameed Abdulkareem (IEEE Trans. Intell. Transp. Syst., 2023)