Omran Al-Shamma

16 papers C 7Journal 5Unranked 4
YearRankTypeTitle / Venue / Authors
2022 J jnl
Robust application of new deep learning tools: an experimental study in medical imaging.
Multim. Tools Appl.
Laith Alzubaidi, Mohammed A. Fadhel, Omran Al-Shamma, Jinglan Zhang, José Santamaría, Ye Duan
2021 J jnl
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.
Laith Alzubaidi, Ye Duan, Ayad Q. Al-Dujaili, Ibraheem Kasim Ibraheem, Ahmed H. Alkenani, José Santamaría, Mohammed A. Fadhel, Omran Al-Shamma, Jinglan Zhang
2021 J jnl
MedNet: Pre-trained Convolutional Neural Network Model for the Medical Imaging Tasks.
CoRR
Laith Alzubaidi, José Santamaría, Mohamed Manoufali, Beadaa J. Mohammed, Mohammed A. Fadhel, Jinglan Zhang, Ali H. Al-Timemy, Omran Al-Shamma, Ye Duan
2021 J jnl
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions.
J. Big Data
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
2020 J jnl
DFU_QUTNet: diabetic foot ulcer classification using novel deep convolutional neural network.
Multim. Tools Appl.
Laith Alzubaidi, Mohammed A. Fadhel, Sameer Razzaq Oleiwi, Omran Al-Shamma, Jinglan Zhang
2020 C conf
Diagnosing Coronavirus (COVID-19) Using Various Deep Learning Models: A Comparative Study.
ISDA
Omran Al-Shamma, Mohammed A. Fadhel, Laith Alzubaidi, Laith Farhan, Muthana Al-Amidie
2020 C conf
Employment of Pre-trained Deep Learning Models for Date Classification: A Comparative Study.
ISDA
Aiman Al-Sabaawi, Reem Ibrahim Hasan, Mohammed A. Fadhel, Omran Al-Shamma, Laith Alzubaidi
2019 C conf
A Deep Convolutional Neural Network Model for Multi-class Fruits Classification.
ISDA
Laith Alzubaidi, Omran Al-Shamma, Mohammed A. Fadhel, Zinah Mohsin Arkah, Fouad H. Awad
2019 C conf
Employment of Multi-classifier and Multi-domain Features for PCG Recognition.
DeSE
Omran Al-Shamma, Fouad H. Awad, Laith Alzubaidi, Mohammed A. Fadhel, Zinah Mohsin Arkah, Laith Farhan
2019 C conf
Hardware Accelerator for Real-Time Holographic Projector.
ISDA
Mohammed A. Fadhel, Omran Al-Shamma, Laith Alzubaidi
2019 C conf
Multi-class Breast Cancer Classification by a Novel Two-Branch Deep Convolutional Neural Network Architecture.
DeSE
Laith Alzubaidi, Reem Ibrahim Hasan, Fouad H. Awad, Mohammed A. Fadhel, Omran Al-Shamma, Jinglan Zhang
2019 C conf
Solving Lorenz ODE System Based Hardware Booster.
ISDA
Hassan Al-Yassin, Mohammed A. Fadhel, Omran Al-Shamma, Laith Alzubaidi
2018 — conf
Boosting Convolutional Neural Networks Performance Based on FPGA Accelerator.
ISDA (1)
Omran Al-Shamma, Mohammed Abdulraheem Fadhel, Rabab Alaa Hameed, Laith Alzubaidi, Jinglan Zhang
2018 — conf
Classification of Red Blood Cells in Sickle Cell Anemia Using Deep Convolutional Neural Network.
ISDA (1)
Laith Alzubaidi, Omran Al-Shamma, Mohammed A. Fadhel, Laith Farhan, Jinglan Zhang
2018 — conf
Real-Time PCG Diagnosis Using FPGA.
ISDA (1)
Mohammed Abdulraheem Fadhel, Omran Al-Shamma, Sameer Razzaq Oleiwi, Bahaa Hussein Taher, Laith Alzubaidi
2018 — conf
Robust and Efficient Approach to Diagnose Sickle Cell Anemia in Blood.
ISDA (1)
Laith Alzubaidi, Mohammed A. Fadhel, Omran Al-Shamma, Jinglan Zhang