Omran Al-Shamma

Publication Activity (10 Years)

Years Active: 2018-2022
Publications (10 Years): 16

Top Topics

Convolutional Neural Network

Medical Imaging

Top Venues

Multim. Tools Appl.

Publications

Laith Alzubaidi, Mohammed A. Fadhel, Omran Al-Shamma, Jinglan Zhang, José Santamaría, Ye Duan
Robust application of new deep learning tools: an experimental study in medical imaging. Multim. Tools Appl. 81 (10) (2022)
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
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions. J. Big Data 8 (1) (2021)
Laith Alzubaidi, Ye Duan, Ayad Q. Al-Dujaili, Ibraheem Kasim Ibraheem, Ahmed H. Alkenani, José Santamaría, Mohammed A. Fadhel, Omran Al-Shamma, Jinglan Zhang
Deepening into the suitability of using pre-trained models of ImageNet against a lightweight convolutional neural network in medical imaging: an experimental study. PeerJ Comput. Sci. 7 (2021)
Laith Alzubaidi, José Santamaría, Mohamed Manoufali, Beadaa J. Mohammed, Mohammed A. Fadhel, Jinglan Zhang, Ali H. Al-Timemy, Omran Al-Shamma, Ye Duan
MedNet: Pre-trained Convolutional Neural Network Model for the Medical Imaging Tasks. CoRR (2021)
Laith Alzubaidi, Mohammed A. Fadhel, Sameer Razzaq Oleiwi, Omran Al-Shamma, Jinglan Zhang
DFU_QUTNet: diabetic foot ulcer classification using novel deep convolutional neural network. Multim. Tools Appl. 79 (21-22) (2020)
Aiman Al-Sabaawi, Reem Ibrahim Hasan, Mohammed A. Fadhel, Omran Al-Shamma, Laith Alzubaidi
Employment of Pre-trained Deep Learning Models for Date Classification: A Comparative Study. ISDA (2020)
Omran Al-Shamma, Mohammed A. Fadhel, Laith Alzubaidi, Laith Farhan, Muthana Al-Amidie
Diagnosing Coronavirus (COVID-19) Using Various Deep Learning Models: A Comparative Study. ISDA (2020)
Laith Alzubaidi, Reem Ibrahim Hasan, Fouad H. Awad, Mohammed A. Fadhel, Omran Al-Shamma, Jinglan Zhang
Multi-class Breast Cancer Classification by a Novel Two-Branch Deep Convolutional Neural Network Architecture. DeSE (2019)
Omran Al-Shamma, Fouad H. Awad, Laith Alzubaidi, Mohammed A. Fadhel, Zinah Mohsin Arkah, Laith Farhan
Employment of Multi-classifier and Multi-domain Features for PCG Recognition. DeSE (2019)
Laith Alzubaidi, Omran Al-Shamma, Mohammed A. Fadhel, Zinah Mohsin Arkah, Fouad H. Awad
A Deep Convolutional Neural Network Model for Multi-class Fruits Classification. ISDA (2019)
Mohammed A. Fadhel, Omran Al-Shamma, Laith Alzubaidi
Hardware Accelerator for Real-Time Holographic Projector. ISDA (2019)
Hassan Al-Yassin, Mohammed A. Fadhel, Omran Al-Shamma, Laith Alzubaidi
Solving Lorenz ODE System Based Hardware Booster. ISDA (2019)
Laith Alzubaidi, Mohammed A. Fadhel, Omran Al-Shamma, Jinglan Zhang
Robust and Efficient Approach to Diagnose Sickle Cell Anemia in Blood. ISDA (1) (2018)
Omran Al-Shamma, Mohammed Abdulraheem Fadhel, Rabab Alaa Hameed, Laith Alzubaidi, Jinglan Zhang
Boosting Convolutional Neural Networks Performance Based on FPGA Accelerator. ISDA (1) (2018)
Laith Alzubaidi, Omran Al-Shamma, Mohammed A. Fadhel, Laith Farhan, Jinglan Zhang
Classification of Red Blood Cells in Sickle Cell Anemia Using Deep Convolutional Neural Network. ISDA (1) (2018)
Mohammed Abdulraheem Fadhel, Omran Al-Shamma, Sameer Razzaq Oleiwi, Bahaa Hussein Taher, Laith Alzubaidi
Real-Time PCG Diagnosis Using FPGA. ISDA (1) (2018)