Mohammed Al-Jumaily

Publication Activity (10 Years)

Years Active: 2011-2020
Publications (10 Years): 10

Top Topics

Supervised Machine Learning

Behavioural Patterns

Top Venues

Publications

Wasiq Khan, Abir Hussain, Sohail Ahmed Khan, Mohammed Al-Jumaily, Raheel Nawaz
Association Learning Between the COVID-19 Infections and Global Demographic Characteristics Using the Class Rule Mining and Pattern Matching. CoRR (2020)
Ala S. Al Kafri, Sud Sudirman, Abir Hussain, Dhiya Al-Jumeily, Friska Natalia, Hira Meidia, Nunik Afriliana, Wasfi Al-Rashdan, Mohammad Bashtawi, Mohammed Al-Jumaily
Boundary Delineation of MRI Images for Lumbar Spinal Stenosis Detection Through Semantic Segmentation Using Deep Neural Networks. IEEE Access 7 (2019)
Friska Natalia, Hira Meidia, Nunik Afriliana, Ala S. Al Kafri, Sud Sudirman, Andrew Simpson, Ali Sophian, Mohammed Al-Jumaily, Wasfi Al-Rashdan, Mohammad Bashtawi
Development of Ground Truth Data for Automatic Lumbar Spine MRI Image Segmentation. HPCC/SmartCity/DSS (2018)
Ala S. Al Kafri, Sud Sudirman, Abir Jaafar Hussain, Dhiya Al-Jumeily, Paul Fergus, Friska Natalia, Hira Meidia, Nunik Afriliana, Ali Sophian, Mohammed Al-Jumaily, Wasfi Al-Rashdan, Mohammad Bashtawi
Segmentation of Lumbar Spine MRI Images for Stenosis Detection Using Patch-Based Pixel Classification Neural Network. CEC (2018)
Ala S. Al Kafri, Sud Sudirman, Abir Jaafar Hussain, Paul Fergus, Dhiya Al-Jumeily, Hiba Al Smadi, Mohammed Khalaf, Mohammed Al-Jumaily, Wasfi Al-Rashdan, Mohammad Bashtawi, Jamila Mustafina
Lumbar Spine Discs Labeling Using Axial View MRI Based on the Pixels Coordinate and Gray Level Features. ICIC (3) (2017)
Ala S. Al Kafri, Sud Sudirman, Abir Jaafar Hussain, Paul Fergus, Dhiya Al-Jumeily, Hiba Al Smadi, Mohammed Khalaf, Mohammed Al-Jumaily, Wasfi Al-Rashdan, Mohammad Bashtawi
Detecting the Disc Herniation in Segmented Lumbar Spine MR Image Using Centroid Distance Function. DeSE (2017)
Ahmed J. Aljaaf, Dhiya Al-Jumeily, Abir Jaafar Hussain, Paul Fergus, Mohammed Al-Jumaily, Hani Hamdan
Partially Synthesised Dataset to Improve Prediction Accuracy. ICIC (1) (2016)
Ala S. Al Kafri, Sud Sudirman, Abir Jaafar Hussain, Paul Fergus, Dhiya Al-Jumeily, Mohammed Al-Jumaily, Haya Al-Askar
A Framework on a Computer Assisted and Systematic Methodology for Detection of Chronic Lower Back Pain Using Artificial Intelligence and Computer Graphics Technologies. ICIC (1) (2016)
Ahmed J. Aljaaf, Dhiya Al-Jumeily, Abir Jaafar Hussain, Paul Fergus, Mohammed Al-Jumaily, Naeem Radi
A Systematic Comparison and Evaluation of Supervised Machine Learning Classifiers Using Headache Dataset. ICIC (3) (2015)
Ahmed J. Aljaaf, Dhiya Al-Jumeily, Abir Jaafar Hussain, Paul Fergus, Mohammed Al-Jumaily, Naeem Radi
Applied machine learning classifiers for medical applications: Clarifying the behavioural patterns using a variety of datasets. IWSSIP (2015)
Ahmed J. Aljaaf, Dhiya Al-Jumeily, Abir Jaafar Hussain, David J. Lamb, Mohammed Al-Jumaily, Khaled Abdel-Aziz
A Study of Data Classification and Selection Techniques for Medical Decision Support Systems. ICIC (2) (2014)
Anthony Farrugia, Dhiya Al-Jumeily, Mohammed Al-Jumaily, Abir Hussain, David J. Lamb
Medical Diagnosis: Are Artificial Intelligence Systems Able to Diagnose the Underlying Causes of Specific Headaches? DeSE (2013)
Lina Momani, Waleed Al-Nuaimy, Mohammed Al-Jumaily, Conor Mallucci
A mechatronic valve in the management of hydrocephalus: methods and performance. Medical Biol. Eng. Comput. 49 (1) (2011)