Omran Mousa Hammodi

Faculty: Presidency of university
Position: Head of Department
Title: Assistant professor
Qualifications: Ph. D.
Email: [email protected]

   


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, 1-74, 2021
43982021
Towards a better understanding of transfer learning for medical imaging: a case study
L Alzubaidi, MA Fadhel, O Al-Shamma, J Zhang, J Santamar�a, Y Duan, ...
Applied Sciences 10 (13), 4523, 2020
2112020
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
1962021
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
1612020
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
1512020
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
1492020
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
Intelligent Systems Design and Applications: 18th International Conference�…, 2020
592020
Robust application of new deep learning tools: an experimental study in medical imaging
L Alzubaidi, MA Fadhel, O Al-Shamma, J Zhang, J Santamar�a, Y Duan
Multimedia Tools and Applications 81 (10), 13289-13317, 2022
402022
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 Santamar�a, ...
PeerJ Computer Science 7, e715, 2021
352021
Boosting convolutional neural networks performance based on FPGA accelerator
O Al-Shamma, MA Fadhel, RA Hameed, L Alzubaidi, J Zhang
Intelligent Systems Design and Applications: 18th International Conference�…, 2020
282020
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
252022
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
252019
MedNet: pre-trained convolutional neural network model for the medical imaging tasks
L Alzubaidi, J Santamar�a, M Manoufali, B Mohammed, MA Fadhel, ...
arXiv preprint arXiv:2110.06512, 2021
242021
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
232018
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
212014
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
162021
A deep convolutional neural network model for multi-class fruits classification
L Alzubaidi, O Al-Shamma, MA Fadhel, ZM Arkah, FH Awad
Intelligent Systems Design and Applications: 19th International Conference�…, 2021
162021
Robust and efficient approach to diagnose sickle cell anemia in blood
L Alzubaidi, MA Fadhel, O Al-Shamma, J Zhang
Intelligent Systems Design and Applications: 18th International Conference�…, 2020
102020
Multi-class breast cancer classification by a novel two-branch deep convolutional neural network architecture
L Alzubaidi, RI Hasan, FH Awad, MA Fadhel, O Alshamma, J Zhang
2019 12th International Conference on Developments in eSystems Engineering�…, 2019
92019
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
92019

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.