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A Framework on a Computer Assisted and Systematic Methodology for Detection of Chronic Lower Back Pain Using Artificial Intelligence and Computer Graphics Technologies.

A. Kafri, S. Sudirman, A. Hussain, P. Fergus, D. Al-Jumeily, M. Al-Jumaily, and H. Al-Askar. ICIC (1), volume 9771 of Lecture Notes in Computer Science, page 843-854. Springer, (2016)

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Oussama Alaya University of Stuttgart

Hon. -Prof. Dr. Ali Alavi University of Stuttgart

Dr. rer. nat. Seyed Khalil Alavi University of Stuttgart

S. Schumann

S. Seemann

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Boundary Delineation of MRI Images for Lumbar Spinal Stenosis Detection Through Semantic Segmentation Using Deep Neural Networks.A. Kafri, S. Sudirman, A. Hussain, D. Al-Jumeily, F. Natalia, H. Meidia, N. Afriliana, W. Al-Rashdan, M. Bashtawi, and M. Al-Jumaily. IEEE Access, (2019)A Framework on a Computer Assisted and Systematic Methodology for Detection of Chronic Lower Back Pain Using Artificial Intelligence and Computer Graphics Technologies.A. Kafri, S. Sudirman, A. Hussain, P. Fergus, D. Al-Jumeily, M. Al-Jumaily, and H. Al-Askar. ICIC (1), volume 9771 of Lecture Notes in Computer Science, page 843-854. Springer, (2016)Development of Ground Truth Data for Automatic Lumbar Spine MRI Image Segmentation.F. Natalia, H. Meidia, N. Afriliana, A. Kafri, S. Sudirman, A. Simpson, A. Sophian, M. Al-Jumaily, W. Al-Rashdan, and M. Bashtawi. HPCC/SmartCity/DSS, page 1449-1454. IEEE, (2018)A Data Science Methodology Based on Machine Learning Algorithms for Flood Severity Prediction.M. Khalaf, A. Hussain, D. Al-Jumeily, T. Baker, R. Keight, P. Lisboa, P. Fergus, and A. Kafri. CEC, page 1-8. IEEE, (2018)A Performance Evaluation of Systematic Analysis for Combining Multi-class Models for Sickle Cell Disorder Data Sets.M. Khalaf, A. Hussain, D. Al-Jumeily, R. Keight, R. Keenan, A. Kafri, C. Chalmers, P. Fergus, and I. Idowu. ICIC (2), volume 10362 of Lecture Notes in Computer Science, page 115-121. Springer, (2017)Lumbar Spine Discs Labeling Using Axial View MRI Based on the Pixels Coordinate and Gray Level Features.A. Kafri, S. Sudirman, A. Hussain, P. Fergus, D. Al-Jumeily, H. Smadi, M. Khalaf, M. Al-Jumaily, W. Al-Rashdan, M. Bashtawi and 1 other author(s). ICIC (3), volume 10363 of Lecture Notes in Computer Science, page 107-116. Springer, (2017)Segmentation of Lumbar Spine MRI Images for Stenosis Detection Using Patch-Based Pixel Classification Neural Network.A. Kafri, S. Sudirman, A. Hussain, D. Al-Jumeily, P. Fergus, F. Natalia, H. Meidia, N. Afriliana, A. Sophian, M. Al-Jumaily and 2 other author(s). CEC, page 1-8. IEEE, (2018)A machine learning and computer assisted methodology for diagnosing chronic lower back pain on lumbar spine magnetic resonance images.A. Al-Kafri. Liverpool John Moores University, UK, (2019)British Library, EThOS.