Mohammed Abdulraheem Fadhel
Orcid: 0000-0001-9877-049X
According to our database1,
Mohammed Abdulraheem Fadhel
authored at least 21 papers
between 2018 and 2023.
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Bibliography
2023
A survey on deep learning tools dealing with data scarcity: definitions, challenges, solutions, tips, and applications.
J. Big Data, December, 2023
A systematic review of trustworthy and explainable artificial intelligence in healthcare: Assessment of quality, bias risk, and data fusion.
Inf. Fusion, August, 2023
Domain Adaptation and Feature Fusion for the Detection of Abnormalities in X-Ray Forearm Images.
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.
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.
PeerJ Comput. Sci., 2021
Network, 2021
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions.
J. Big Data, 2021
MedNet: Pre-trained Convolutional Neural Network Model for the Medical Imaging Tasks.
CoRR, 2021
2020
DFU_QUTNet: diabetic foot ulcer classification using novel deep convolutional neural network.
Multim. Tools Appl., 2020
Proceedings of the Intelligent Systems Design and Applications, 2020
Diagnosing Coronavirus (COVID-19) Using Various Deep Learning Models: A Comparative Study.
Proceedings of the Intelligent Systems Design and Applications, 2020
Employment of Pre-trained Deep Learning Models for Date Classification: A Comparative Study.
Proceedings of the Intelligent Systems Design and Applications, 2020
2019
Proceedings of the Intelligent Systems Design and Applications, 2019
Proceedings of the Intelligent Systems Design and Applications, 2019
Proceedings of the Intelligent Systems Design and Applications, 2019
Multi-class Breast Cancer Classification by a Novel Two-Branch Deep Convolutional Neural Network Architecture.
Proceedings of the 12th International Conference on Developments in eSystems Engineering, 2019
Proceedings of the 12th International Conference on Developments in eSystems Engineering, 2019
2018
Proceedings of the Intelligent Systems Design and Applications, 2018
Proceedings of the Intelligent Systems Design and Applications, 2018
Classification of Red Blood Cells in Sickle Cell Anemia Using Deep Convolutional Neural Network.
Proceedings of the Intelligent Systems Design and Applications, 2018
Proceedings of the Intelligent Systems Design and Applications, 2018