Faculty: Presidency of university
Position: Head of Department
Title: Assistant professor
Qualifications: Ph. D.
Email: o.al_shamma@uoitc.edu.iq
| Title | Citation | Year |
|---|---|---|
| Review of deep learning: concepts, CNN architectures, challenges, applications, future directions L Alzubaidi, J Zhang, AJ Humaidi, A Al-Dujaili, Y Duan, O Al-Shamma, ... Journal of big Data 8 (1), 53, 2021 | 10031 | 2021 |
| Novel transfer learning approach for medical imaging with limited labeled data L Alzubaidi, M Al-Amidie, A Al-Asadi, AJ Humaidi, O Al-Shamma, ... Cancers 13 (7), 1590, 2021 | 344 | 2021 |
| Towards a better understanding of transfer learning for medical imaging: a case study L Alzubaidi, MA Fadhel, O Al-Shamma, J Zhang, J Santamaría, Y Duan, ... Applied Sciences 10 (13), 4523, 2020 | 325 | 2020 |
| DFU_QUTNet: diabetic foot ulcer classification using novel deep convolutional neural network L Alzubaidi, MA Fadhel, SR Oleiwi, O Al-Shamma, J Zhang Multimedia Tools and Applications 79 (21), 15655-15677, 2020 | 250 | 2020 |
| Deep learning models for classification of red blood cells in microscopy images to aid in sickle cell anemia diagnosis L Alzubaidi, MA Fadhel, O Al-Shamma, J Zhang, Y Duan Electronics 9 (3), 427, 2020 | 249 | 2020 |
| Optimizing the performance of breast cancer classification by employing the same domain transfer learning from hybrid deep convolutional neural network model L Alzubaidi, O Al-Shamma, MA Fadhel, L Farhan, J Zhang, Y Duan Electronics 9 (3), 445, 2020 | 196 | 2020 |
| Robust application of new deep learning tools: an experimental study in medical imaging L Alzubaidi, MA Fadhel, O Al-Shamma, J Zhang, J Santamaría, Y Duan Multimedia Tools and Applications 81 (10), 13289-13317, 2022 | 78 | 2022 |
| Classification of red blood cells in sickle cell anemia using deep convolutional neural network L Alzubaidi, O Al-Shamma, MA Fadhel, L Farhan, J Zhang International Conference on Intelligent Systems Design and Applications, 550-559, 2018 | 71 | 2018 |
| Deepening into the suitability of using pre-trained models of ImageNet against a lightweight convolutional neural network in medical imaging: An experimental study L Alzubaidi, Y Duan, A Al-Dujaili, IK Ibraheem, AH Alkenani, J Santamaría, ... PeerJ Computer Science 7, e715, 2021 | 65 | 2021 |
| Face recognition based on deep learning and FPGA for ethnicity identification AJA AlBdairi, Z Xiao, A Alkhayyat, AJ Humaidi, MA Fadhel, BH Taher, ... Applied Sciences 12 (5), 2605, 2022 | 48 | 2022 |
| MedNet: pre-trained convolutional neural network model for the medical imaging tasks L Alzubaidi, J Santamaría, M Manoufali, B Mohammed, MA Fadhel, ... arXiv preprint arXiv:2110.06512, 2021 | 46 | 2021 |
| Comparison of hybrid convolutional neural networks models for diabetic foot ulcer classification L Alzubaidi, AA Abbood, MA Fadhel, O Al-Shamma, J Zhang J. Eng. Sci. Technol 16 (3), 2001-2017, 2021 | 39 | 2021 |
| Human emotion classification based on respiration signal RA Hameed, MK Sabir, MA Fadhel, O Al-Shamma, L Alzubaidi Proceedings of the International Conference on Information and Communication …, 2019 | 35 | 2019 |
| Boosting convolutional neural networks performance based on FPGA accelerator O Al-Shamma, MA Fadhel, RA Hameed, L Alzubaidi, J Zhang International Conference on Intelligent Systems Design and Applications, 509-517, 2018 | 32 | 2018 |
| A comparative study of cost estimation models used for preliminary aircraft design O Al-Shamma, R Ali Global Journal of Researches in Engineering: B Automotive Engineering 14 (4), 2014 | 30 | 2014 |
| Real-time PCG diagnosis using FPGA MA Fadhel, O Al-Shamma, SR Oleiwi, BH Taher, L Alzubaidi International Conference on Intelligent Systems Design and Applications, 518-529, 2018 | 25 | 2018 |
| A deep convolutional neural network model for multi-class fruits classification L Alzubaidi, O Al-Shamma, MA Fadhel, ZM Arkah, FH Awad International Conference on Intelligent Systems Design and Applications, 90-99, 2019 | 18 | 2019 |
| Employment of multi-classifier and multi-domain features for PCG recognition O Alshamma, FH Awad, L Alzubaidi, MA Fadhel, ZM Arkah, L Farhan 2019 12th International Conference on Developments in eSystems Engineering …, 2019 | 18 | 2019 |
| Implementing a novel low complexity CNN model for brain tumor detection N Al-Ani, O Al-Shamma 2022 8th International Conference on Contemporary Information Technology and …, 2022 | 15 | 2022 |
| Aircraft weight estimation in interactive design process O Al-Shamma, R Ali | 13 | 2013 |
1980 - B.Sc. in Control and Systems Engineering, University of Technology, Baghdad, Iraq.
1984 - M.Sc. in Computer Engineering, University of Technology, Baghdad, Iraq.
2013 - Ph.D. in Computer Engineering, University of Hertfordshire, Hatfield, UK.
