Omran Al-Shamma

According to our database, Omran Al-Shamma authored at least 16 papers between 2018 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2022

Robust application of new deep learning tools: an experimental study in medical imaging.

Laith Alzubaidi, Mohammed A. Fadhel, Omran Al-Shamma, Jinglan Zhang, José Santamaría, Ye Duan

Multim. Tools Appl., 2022

2021

Deepening into the suitability of using pre-trained models of ImageNet against a lightweight convolutional neural network in medical imaging: an experimental study.

Laith Alzubaidi, Ye Duan, Ayad Q. Al-Dujaili, Ibraheem Kasim Ibraheem, Ahmed H. Alkenani, José Santamaría, Mohammed A. Fadhel, Omran Al-Shamma, Jinglan Zhang

PeerJ Comput. Sci., 2021

Review of deep learning: concepts, CNN architectures, challenges, applications, future directions.

Laith Alzubaidi, Jinglan Zhang, Amjad J. Humaidi, Ayad Q. Al-Dujaili, Ye Duan, Omran Al-Shamma, José Santamaría, Mohammed A. Fadhel, Muthana Al-Amidie, Laith Farhan

J. Big Data, 2021

MedNet: Pre-trained Convolutional Neural Network Model for the Medical Imaging Tasks.

Laith Alzubaidi, José Santamaría, Mohamed Manoufali, Beadaa J. Mohammed, Mohammed A. Fadhel, Jinglan Zhang, Ali H. Al-Timemy, Omran Al-Shamma, Ye Duan

CoRR, 2021

2020

DFU_QUTNet: diabetic foot ulcer classification using novel deep convolutional neural network.

Laith Alzubaidi, Mohammed A. Fadhel, Sameer Razzaq Oleiwi, Omran Al-Shamma, Jinglan Zhang

Multim. Tools Appl., 2020

Diagnosing Coronavirus (COVID-19) Using Various Deep Learning Models: A Comparative Study.

Omran Al-Shamma, Mohammed A. Fadhel, Laith Alzubaidi, Laith Farhan, Muthana Al-Amidie

Proceedings of the Intelligent Systems Design and Applications, 2020

Employment of Pre-trained Deep Learning Models for Date Classification: A Comparative Study.

Aiman Al-Sabaawi, Reem Ibrahim Hasan, Mohammed A. Fadhel, Omran Al-Shamma, Laith Alzubaidi

Proceedings of the Intelligent Systems Design and Applications, 2020

2019

Hardware Accelerator for Real-Time Holographic Projector.

Mohammed A. Fadhel, Omran Al-Shamma, Laith Alzubaidi

Proceedings of the Intelligent Systems Design and Applications, 2019

A Deep Convolutional Neural Network Model for Multi-class Fruits Classification.

Laith Alzubaidi, Omran Al-Shamma, Mohammed A. Fadhel, Zinah Mohsin Arkah, Fouad H. Awad

Proceedings of the Intelligent Systems Design and Applications, 2019

Solving Lorenz ODE System Based Hardware Booster.

Hassan Al-Yassin, Mohammed A. Fadhel, Omran Al-Shamma, Laith Alzubaidi

Proceedings of the Intelligent Systems Design and Applications, 2019

Multi-class Breast Cancer Classification by a Novel Two-Branch Deep Convolutional Neural Network Architecture.

Laith Alzubaidi, Reem Ibrahim Hasan, Fouad H. Awad, Mohammed A. Fadhel, Omran Al-Shamma, Jinglan Zhang

Proceedings of the 12th International Conference on Developments in eSystems Engineering, 2019

Employment of Multi-classifier and Multi-domain Features for PCG Recognition.

Omran Al-Shamma, Fouad H. Awad, Laith Alzubaidi, Mohammed A. Fadhel, Zinah Mohsin Arkah, Laith Farhan

Proceedings of the 12th International Conference on Developments in eSystems Engineering, 2019

2018

Real-Time PCG Diagnosis Using FPGA.

Mohammed Abdulraheem Fadhel, Omran Al-Shamma, Sameer Razzaq Oleiwi, Bahaa Hussein Taher, Laith Alzubaidi

Proceedings of the Intelligent Systems Design and Applications, 2018

Robust and Efficient Approach to Diagnose Sickle Cell Anemia in Blood.

Laith Alzubaidi, Mohammed A. Fadhel, Omran Al-Shamma, Jinglan Zhang

Proceedings of the Intelligent Systems Design and Applications, 2018

Classification of Red Blood Cells in Sickle Cell Anemia Using Deep Convolutional Neural Network.

Laith Alzubaidi, Omran Al-Shamma, Mohammed A. Fadhel, Laith Farhan, Jinglan Zhang

Proceedings of the Intelligent Systems Design and Applications, 2018

Boosting Convolutional Neural Networks Performance Based on FPGA Accelerator.

Omran Al-Shamma, Mohammed Abdulraheem Fadhel, Rabab Alaa Hameed, Laith Alzubaidi, Jinglan Zhang

Proceedings of the Intelligent Systems Design and Applications, 2018