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2020 – today
- 2022
[j4]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): 13289-13317 (2022)- 2021
- [j3]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): 53 (2021) - [j2]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: e715 (2021) - [i1]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 abs/2110.06512 (2021) - 2020
- [j1]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): 15655-15677 (2020) - [c11]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: 181-189 - [c10]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: 1188-1197
2010 – 2019
- 2019
- [c9]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: 268-273 - [c8]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: 321-325 - [c7]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: 90-99 - [c6]Mohammed A. Fadhel, Omran Al-Shamma, Laith Alzubaidi:
Hardware Accelerator for Real-Time Holographic Projector. ISDA 2019: 132-139 - [c5]Hassan Al-Yassin, Mohammed A. Fadhel, Omran Al-Shamma, Laith Alzubaidi:
Solving Lorenz ODE System Based Hardware Booster. ISDA 2019: 245-254 - 2018
- [c4]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: 509-517 - [c3]Mohammed Abdulraheem Fadhel, Omran Al-Shamma, Sameer Razzaq Oleiwi, Bahaa Hussein Taher, Laith Alzubaidi:
Real-Time PCG Diagnosis Using FPGA. ISDA (1) 2018: 518-529 - [c2]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: 550-559 - [c1]Laith Alzubaidi, Mohammed A. Fadhel, Omran Al-Shamma, Jinglan Zhang:
Robust and Efficient Approach to Diagnose Sickle Cell Anemia in Blood. ISDA (1) 2018: 560-570
Coauthor Index
aka: Mohammed A. Fadhel
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