Mohammed Abdulraheem Fadhel

According to our database, Mohammed Abdulraheem Fadhel authored at least 31 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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., September, 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., September, 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., August, 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, April, 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, Ahmed Shihab Albahri, José Santamaría, Ashish Gupta, Yuantong Gu

Intell. 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

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

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, Jinshuai Bai, Ahmed Shihab Albahri, Yuantong Gu

Eng. Appl. Artif. Intell., 2024

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, Marco Branni, Tristan Shuker, Kenneth Cutbush, José Santamaría, Catarina Moreira, Chun Ouyang, Ye Duan, Mohamed Manoufali, Mohammad Jomaa, Ashish Gupta, Amin M. Abbosh, Yuantong Gu

Artif. Intell. Medicine, 2024

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, Laith Farhan, Yi Lu, Ashish Gupta, Felix Albu, Amin M. Abbosh, Yuantong Gu

J. Big Data, December, 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, Ashish Gupta, Yuantong Gu, Muhammet Deveci

Inf. Fusion, August, 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, Jinglan Zhang, José Santamaría, Asma Salhi, Freek Hollman, Ashish Gupta, Ye Duan, Timon Rabczuk, Amin M. Abbosh, Yuantong Gu

Int. J. Intell. Syst., 2023

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

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022

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

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

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

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

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

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

Human Speaker Recognition Based Database Method.

Ahmed Samit Hatem, Muthanna J. Adulredhi, Ali M. Abdulrahman, Mohammed A. Fadhel

Proceedings of the Intelligent Systems Design and Applications, 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

Proceedings of the Intelligent Systems Design and Applications, 2020

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

Proceedings of the Intelligent Systems Design and Applications, 2020

2019

Hardware Accelerator for Real-Time Holographic Projector.

Mohammed A. Fadhel, Omran Al-Shamma, Laith Alzubaidi

Proceedings of the Intelligent Systems Design and Applications, 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

Proceedings of the Intelligent Systems Design and Applications, 2019

Solving Lorenz ODE System Based Hardware Booster.

Hassan Al-Yassin, Mohammed A. Fadhel, Omran Al-Shamma, Laith Alzubaidi

Proceedings of the Intelligent Systems Design and Applications, 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

Proceedings of the 12th International Conference on Developments in eSystems Engineering, 2019

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

Proceedings of the 12th International Conference on Developments in eSystems Engineering, 2019

2018

Real-Time PCG Diagnosis Using FPGA.

Mohammed Abdulraheem Fadhel, Omran Al-Shamma, Sameer Razzaq Oleiwi, Bahaa Hussein Taher, Laith Alzubaidi

Proceedings of the Intelligent Systems Design and Applications, 2018

Robust and Efficient Approach to Diagnose Sickle Cell Anemia in Blood.

Laith Alzubaidi, Mohammed A. Fadhel, Omran Al-Shamma, Jinglan Zhang

Proceedings of the Intelligent Systems Design and Applications, 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

Proceedings of the Intelligent Systems Design and Applications, 2018

Boosting Convolutional Neural Networks Performance Based on FPGA Accelerator.

Omran Al-Shamma, Mohammed Abdulraheem Fadhel, Rabab Alaa Hameed, Laith Alzubaidi, Jinglan Zhang

Proceedings of the Intelligent Systems Design and Applications, 2018