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Ye Duan
Publications
- 2023
- [j37]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) - 2022
- [j33]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
- [j32]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) - [j31]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) - [i4]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)
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