Duan, Ye

Review of deep learning: concepts, CNN architectures, challenges, applications, future directions

Alzubaidi, L., Zhang, J., Humaidi, A. J., Al-Dujaili, A., Duan, Y., Al-Shamma, O., Santamaría, J., Fadhel, M. A., Al-Amidie, M., & Farhan, L. (2021) · Journal of Big Data

Advanced Neural Network ApplicationsNeural Networks and Applications

Cited by 7,906

Towards a Better Understanding of Transfer Learning for Medical Imaging: A Case Study

Alzubaidi, L., Fadhel, M. A., Al-Shamma, O., Zhang, J., Santamaría, J., Duan, Y., & R. Oleiwi, S. (2020) · Applied Sciences

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 258

Deep Learning Models for Classification of Red Blood Cells in Microscopy Images to Aid in Sickle Cell Anemia Diagnosis

Alzubaidi, L., Fadhel, M. A., Al-Shamma, O., Zhang, J., & Duan, Y. (2020) · Electronics

Digital Imaging for Blood DiseasesCell Image Analysis Techniques

Cited by 197

Optimizing the Performance of Breast Cancer Classification by Employing the Same Domain Transfer Learning from Hybrid Deep Convolutional Neural Network Model

Alzubaidi, L., Al-Shamma, O., Fadhel, M. A., Farhan, L., Zhang, J., & Duan, Y. (2020) · Electronics

AI in cancer detectionDigital Imaging for Blood Diseases

Cited by 143

Robust application of new deep learning tools: an experimental study in medical imaging

Alzubaidi, L., Fadhel, M. A., Al-Shamma, O., Zhang, J., Santamaría, J., & Duan, Y. (2022) · Multimedia Tools and Applications

AI in cancer detectionAdvanced Neural Network Applications

Cited by 68