Boosting Convolutional Neural Networks Performance Based on FPGA Accelerator. - Omran Al-Shamma; Mohammed Abdulraheem Fadhel; Rabab Alaa Hameed; Laith Alzubaidi; Jinglan Zhang (ISDA (1), 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 (ISDA (1), 2018)

Robust and Efficient Approach to Diagnose Sickle Cell Anemia in Blood. - Laith Alzubaidi; Mohammed A. Fadhel; Omran Al-Shamma; Jinglan Zhang (ISDA (1), 2018)

Real-Time PCG Diagnosis Using FPGA. - Mohammed Abdulraheem Fadhel; Omran Al-Shamma; Sameer Razzaq Oleiwi; Bahaa Hussein Taher; Laith Alzubaidi (ISDA (1), 2018)

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 (DeSE, 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 (DeSE, 2019)

Solving Lorenz ODE System Based Hardware Booster. - Hassan Al-Yassin; Mohammed A. Fadhel; Omran Al-Shamma; Laith Alzubaidi (ISDA, 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 (ISDA, 2019)

Hardware Accelerator for Real-Time Holographic Projector. - Mohammed A. Fadhel; Omran Al-Shamma; Laith Alzubaidi (ISDA, 2019)

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 (ISDA, 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 (ISDA, 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)

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)

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)

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)

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)