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Mohammed Abdulraheem Fadhel
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2020 – today
- 2024
- [j17]Laith Alzubaidi, Mohammed A. Fadhel, Freek Hollman, Asma Salhi, José Santamaría, Ye Duan, Ashish Gupta, Kenneth Cutbush, Amin M. Abbosh, Yuantong Gu:
SSP: self-supervised pertaining technique for classification of shoulder implants in x-ray medical images: a broad experimental study. Artif. Intell. Rev. 57(9): 261 (2024) - [j16]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:
Navigating the metaverse: unraveling the impact of artificial intelligence - a comprehensive review and gap analysis. Artif. Intell. Rev. 57(9): 264 (2024) - [j15]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:
Comprehensive review of deep learning in orthopaedics: Applications, challenges, trustworthiness, and fusion. Artif. Intell. Medicine 155: 102935 (2024) - [j14]Laith Alzubaidi, Hussein Khalefa Chlaib, Mohammed A. Fadhel, Yubo Chen, Jinshuai Bai, Ahmed Shihab Albahri, Yuantong Gu:
Reliable deep learning framework for the ground penetrating radar data to locate the horizontal variation in levee soil compaction. Eng. Appl. Artif. Intell. 129: 107627 (2024) - [j13]Ahmed Saihood, Mustafa Asaad Hasan, Shafaa mahmood shnawa, Mohammed A. Fadhel, Laith Alzubaidi, Ashish Gupta, Yuantong Gu:
Multiside graph neural network-based attention for local co-occurrence features fusion in lung nodule classification. Expert Syst. Appl. 252: 124149 (2024) - [j12]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:
Comprehensive systematic review of information fusion methods in smart cities and urban environments. Inf. Fusion 107: 102317 (2024) - [j11]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:
MEFF - A model ensemble feature fusion approach for tackling adversarial attacks in medical imaging. Intell. Syst. Appl. 22: 200355 (2024) - [j10]Mohammed A. Fadhel, Laith Alzubaidi, Yuantong Gu, José Santamaría, Ye Duan:
Real-time diabetic foot ulcer classification based on deep learning & parallel hardware computational tools. Multim. Tools Appl. 83(27): 70369-70394 (2024) - [j9]Mokhaled N. A. Al-Hamadani, Mohammed A. Fadhel, Laith Alzubaidi, Balázs Harangi:
Reinforcement Learning Algorithms and Applications in Healthcare and Robotics: A Comprehensive and Systematic Review. Sensors 24(8): 2461 (2024) - 2023
- [j8]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:
Towards Risk-Free Trustworthy Artificial Intelligence: Significance and Requirements. Int. J. Intell. Syst. 2023: 1-41 (2023) - [j7]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:
A systematic review of trustworthy and explainable artificial intelligence in healthcare: Assessment of quality, bias risk, and data fusion. Inf. Fusion 96: 156-191 (2023) - [j6]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:
A survey on deep learning tools dealing with data scarcity: definitions, challenges, solutions, tips, and applications. J. Big Data 10(1): 46 (2023) - [c13]Laith Alzubaidi, Mohammed A. Fadhel, Ahmed Shihab Albahri, Asma Salhi, Ashish Gupta, Yuantong Gu:
Domain Adaptation and Feature Fusion for the Detection of Abnormalities in X-Ray Forearm Images. EMBC 2023: 1-5 - 2022
- [j5]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
- [j4]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) - [j3]Laith Farhan, Rasha Subhi Hameed, Asraa Safaa Ahmed, Ali Hussein Fadel, Waled Gheth, Laith Alzubaidi, Mohammed A. Fadhel, Muthana Al-Amidie:
Energy Efficiency for Green Internet of Things (IoT) Networks: A Survey. Network 1(3): 279-314 (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) - [c12]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 - [c11]Ahmed Samit Hatem, Muthanna J. Adulredhi, Ali M. Abdulrahman, Mohammed A. Fadhel:
Human Speaker Recognition Based Database Method. ISDA 2020: 1145-1154 - [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
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last updated on 2024-11-07 21:33 CET by the dblp team
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