Review of deep learning: Concepts, CNN architectures, challenges, applications, future directions L Alzubaidi, J Zhang, AJ Humaidi, A Al-Dujaili, Y Duan, O Al-Shamma, ... Journal of big Data 8 (1), 1-74, 2021 | 1370 | 2021 |
Towards a better understanding of transfer learning for medical imaging: a case study L Alzubaidi, MA Fadhel, O Al-Shamma, J Zhang, J Santamaría, Y Duan, ... Applied Sciences 10 (13), 4523, 2020 | 112 | 2020 |
Novel transfer learning approach for medical imaging with limited labeled data L Alzubaidi, M Al-Amidie, A Al-Asadi, AJ Humaidi, O Al-Shamma, ... Cancers 13 (7), 1590, 2021 | 107 | 2021 |
Deep learning models for classification of red blood cells in microscopy images to aid in sickle cell anemia diagnosis L Alzubaidi, MA Fadhel, O Al-Shamma, J Zhang, Y Duan Electronics 9 (3), 427, 2020 | 100 | 2020 |
Optimizing the performance of breast cancer classification by employing the same domain transfer learning from hybrid deep convolutional neural network model L Alzubaidi, O Al-Shamma, MA Fadhel, L Farhan, J Zhang, Y Duan Electronics 9 (3), 445, 2020 | 99 | 2020 |
DFU_QUTNet: diabetic foot ulcer classification using novel deep convolutional neural network L Alzubaidi, MA Fadhel, SR Oleiwi, O Al-Shamma, J Zhang Multimedia Tools and Applications 79 (21-22), 15655-15677, 2020 | 92 | 2020 |
Review of the state of the art of deep learning for plant diseases: a broad analysis and discussion RI Hasan, SM Yusuf, L Alzubaidi Plants 9 (10), 1302, 2020 | 86 | 2020 |
Classification of red blood cells in sickle cell anemia using deep convolutional neural network L Alzubaidi, O Al-Shamma, MA Fadhel, L Farhan, J Zhang Intelligent Systems Design and Applications: 18th International Conference …, 2020 | 44 | 2020 |
An efficient data packet scheduling scheme for Internet of Things networks L Farhan, L Alzubaidi, M Abdulsalam, AJ Abboud, M Hammoudeh, ... 2018 1st International Scientific Conference of Engineering Sciences-3rd …, 2018 | 29 | 2018 |
Boosting convolutional neural networks performance based on FPGA accelerator O Al-Shamma, MA Fadhel, RA Hameed, L Alzubaidi, J Zhang Intelligent Systems Design and Applications: 18th International Conference …, 2020 | 25 | 2020 |
Toward Interference Aware IoT Framework: Energy and Geo-Location-Based-Modeling L Farhan, O Kaiwartya, L Alzubaidi, W Gheth, E Dimla, R Kharel IEEE Access 7, 56617-56630, 2019 | 25 | 2019 |
Real-time PCG diagnosis using FPGA MA Fadhel, O Al-Shamma, SR Oleiwi, BH Taher, L Alzubaidi Intelligent Systems Design and Applications: 18th International Conference …, 2020 | 22 | 2020 |
Human emotion classification based on respiration signal RA Hameed, MK Sabir, MA Fadhel, O Al-Shamma, L Alzubaidi Proceedings of the International Conference on Information and Communication …, 2019 | 21 | 2019 |
IoT and Cloud Computing in Health-Care: A New Wearable Device and Cloud-Based Deep Learning Algorithm for Monitoring of Diabetes AR Nasser, AM Hasan, AJ Humaidi, A Alkhayyat, L Alzubaidi, MA Fadhel, ... Electronics 10 (21), 2719, 2021 | 20 | 2021 |
Robust application of new deep learning tools: An experimental study in medical imaging L Alzubaidi, MA Fadhel, O Al-Shamma, J Zhang, J Santamaría, Y Duan Multimedia Tools and Applications, 1-29, 2022 | 17 | 2022 |
Amended convolutional neural network with global average pooling for image classification A Al-Sabaawi, HM Ibrahim, ZM Arkah, M Al-Amidie, L Alzubaidi Intelligent Systems Design and Applications: 20th International Conference …, 2021 | 17 | 2021 |
Nucleus detection in h&e images with fully convolutional regression networks L Alzubaidi, I Ersoy, D Shin, F Bunyak Proc. First International Workshop on Deep Learning for Pattern Recognition, 2016 | 12 | 2016 |
Energy Efficiency for Green Internet of Things (IoT) Networks: A Survey L Farhan, RS Hameed, AS Ahmed, AH Fadel, W Gheth, L Alzubaidi, ... Network 1 (3), 279-314, 2021 | 11 | 2021 |
Deep learning based nuclei detection for quantitative histopathology image analysis L Al-Zubaidi University of Missouri--Columbia, 2016 | 11 | 2016 |
A deep convolutional neural network model for multi-class fruits classification L Alzubaidi, O Al-Shamma, MA Fadhel, ZM Arkah, FH Awad Intelligent Systems Design and Applications: 19th International Conference …, 2021 | 10 | 2021 |