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)

Human Speaker Recognition Based Database Method. - Ahmed Samit Hatem; Muthanna J. Adulredhi; Ali M. Abdulrahman; Mohammed A. Fadhel (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)

Energy Efficiency for Green Internet of Things (IoT) Networks: A Survey. - Laith Farhan; Rasha Subhi Hameed; Asraa Safaa Ahmed; Ali Hussein Fadel; Waled Gheth; Laith Alzubaidi; Mohammed A. Fadhel; Muthana Al-Amidie (Network, 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)

Domain Adaptation and Feature Fusion for the Detection of Abnormalities in X-Ray Forearm Images. - Laith Alzubaidi; Mohammed A. Fadhel; Ahmed Shihab Albahri; Asma Salhi; Ashish Gupta; Yuantong Gu (EMBC, 2023)

Towards Risk-Free Trustworthy Artificial Intelligence: Significance and Requirements. - Laith Alzubaidi; Aiman Al-Sabaawi; Jinshuai Bai; Ammar Dukhan; Ahmed H. Alkenani; Ahmed Al-Asadi; Haider A. Alwzwazy; Mohamed Manoufali; Mohammed A. Fadhel; Ahmed Shihab Albahri; Catarina Moreira; Chun Ouyang 001; et al. (Int. J. Intell. Syst., 2023)

A systematic review of trustworthy and explainable artificial intelligence in healthcare: Assessment of quality, bias risk, and data fusion. - Ahmed Shihab Albahri; Ali Mohammed; Mohammed A. Fadhel; Alhamzah Alnoor; Noor S. Baqer; Laith Alzubaidi; Osamah Shihab Albahri; Abdullah Hussein Alamoodi; Jinshuai Bai; Asma Salhi; José Santamaría; Chun Ouyang 001; et al. (Inf. Fusion, 2023)

A survey on deep learning tools dealing with data scarcity: definitions, challenges, solutions, tips, and applications. - Laith Alzubaidi; Jinshuai Bai; Aiman Al-Sabaawi; José Santamaría; Ahmed Shihab Albahri; Bashar Sami Nayyef Al-dabbagh; Mohammed A. Fadhel; Mohamed Manoufali; Jinglan Zhang; Ali H. Al-Timemy; Ye Duan; Amjed Abdullah; et al. (J. Big Data, 2023)

Comprehensive review of deep learning in orthopaedics: Applications, challenges, trustworthiness, and fusion. - Laith Alzubaidi; Khamael Al-Dulaimi; Asma Salhi; Zaenab Alammar; Mohammed A. Fadhel; Ahmed Shihab Albahri; Abdullah Hussein Alamoodi; Osamah Shihab Albahri; Amjad F. Hasan; Jinshuai Bai; Luke Gilliland; Jing Peng 005; et al. (Artif. Intell. Medicine, 2024)

Reliable deep learning framework for the ground penetrating radar data to locate the horizontal variation in levee soil compaction. - Laith Alzubaidi; Hussein Khalefa Chlaib; Mohammed A. Fadhel; Yubo Chen 006; Jinshuai Bai; Ahmed Shihab Albahri; Yuantong Gu (Eng. Appl. Artif. Intell., 2024)

Multiside graph neural network-based attention for local co-occurrence features fusion in lung nodule classification. - Ahmed Saihood; Mustafa Asaad Hasan; Shafaa mahmood shnawa; Mohammed A. Fadhel; Laith Alzubaidi; Ashish Gupta; Yuantong Gu (Expert Syst. Appl., 2024)

Comprehensive systematic review of information fusion methods in smart cities and urban environments. - Mohammed A. Fadhel; Ali M. Duhaim; Ahmed Saihood; Ahmed Sewify; Mokhaled N. A. Al-Hamadani; Ahmed Shihab Albahri; Laith Alzubaidi; Ashish Gupta; Seyedali Mirjalili; Yuantong Gu (Inf. Fusion, 2024)

MEFF - A model ensemble feature fusion approach for tackling adversarial attacks in medical imaging. - Laith Alzubaidi; Khamael Al-Dulaimi; Huda Abdul-Hussain Obeed; Ahmed Saihood; Mohammed A. Fadhel; Sabah Abdulazeez Jebur; Yubo Chen 006; Ahmed Shihab Albahri; José Santamaría; Ashish Gupta; Yuantong Gu (Intell. Syst. Appl., 2024)

Reinforcement Learning Algorithms and Applications in Healthcare and Robotics: A Comprehensive and Systematic Review. - Mokhaled N. A. Al-Hamadani; Mohammed A. Fadhel; Laith Alzubaidi; Balázs Harangi (Sensors, 2024)

Real-time diabetic foot ulcer classification based on deep learning & parallel hardware computational tools. - Mohammed A. Fadhel; Laith Alzubaidi; Yuantong Gu; José Santamaría; Ye Duan (Multim. Tools Appl., 2024)

SSP: self-supervised pertaining technique for classification of shoulder implants in x-ray medical images: a broad experimental study. - Laith Alzubaidi; Mohammed A. Fadhel; Freek Hollman; Asma Salhi; José Santamaría; Ye Duan; Ashish Gupta; Kenneth Cutbush; Amin M. Abbosh; Yuantong Gu (Artif. Intell. Rev., 2024)

Navigating the metaverse: unraveling the impact of artificial intelligence - a comprehensive review and gap analysis. - Mohammed A. Fadhel; Ali M. Duhaim; Ahmed Shihab Albahri; Z. T. Al-qaysi; Mohamed Aktham Ahmed; Mohammed A. Chyad; Wael Abd-Alaziz; Osamah Shihab Albahri; Abdullah Hussein Alamoodi; Laith Alzubaidi; Ashish Gupta; Yuantong Gu (Artif. Intell. Rev., 2024)

Towards unbiased skin cancer classification using deep feature fusion. - Ali Atshan Abdulredah; Mohammed A. Fadhel; Laith Alzubaidi; Ye Duan; Monji Kherallah; Faiza Charfi (BMC Medical Informatics Decis. Mak., 2025)