| A State-of-the-Art Survey on Deep Learning Theory and Architectures MZ Alom, TM Taha, C Yakopcic, S Westberg, P Sidike, MS Nasrin, ... Electronics 8 (3), 292, 2019 | 1869 | 2019 |
| The history began from alexnet: A comprehensive survey on deep learning approaches MZ Alom, TM Taha, C Yakopcic, S Westberg, P Sidike, MS Nasrin, ... arXiv preprint arXiv:1803.01164, 2018 | 1645 | 2018 |
| The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches M Zahangir Alom, TM Taha, C Yakopcic, S Westberg, P Sidike, ... arXiv preprint arXiv:1803.01164, 2018 | 1645 | 2018 |
| Recurrent Residual Convolutional Neural Network based on U-Net (R2U-Net) for Medical Image Segmentation MZ Alom, M Hasan, C Yakopcic, TM Taha, VK Asari arXiv preprint arXiv:1802.06955, 2018 | 1552 | 2018 |
| Recurrent Residual Convolutional Neural Network based on U-Net (R2U-Net) for Medical Image Segmentation M Zahangir Alom, M Hasan, C Yakopcic, TM Taha, VK Asari arXiv preprint arXiv:1802.06955, 2018 | 1552 | 2018 |
| Recurrent Residual Convolutional Neural Network based on U-Net (R2U-Net) for Medical Image Segmentation MZ Alom, M Hasan, C Yakopcic, TM Taha, VK Asari | 1552* | |
| Recurrent residual U-Net for medical image segmentation MZ Alom, C Yakopcic, M Hasan, TM Taha, VK Asari Journal of Medical Imaging 6 (1), 014006, 2019 | 778 | 2019 |
| A memristor device model C Yakopcic, TM Taha, G Subramanyam, RE Pino, S Rogers IEEE electron device letters 32 (10), 1436-1438, 2011 | 391 | 2011 |
| Breast Cancer Classification from Histopathological Images with Inception Recurrent Residual Convolutional Neural Network MZ Alom, C Yakopcic, TM Taha, VK Asari arXiv preprint arXiv:1811.04241, 2018 | 361 | 2018 |
| Breast Cancer Classification from Histopathological Images with Inception Recurrent Residual Convolutional Neural Network M Zahangir Alom, C Yakopcic, TM Taha, VK Asari arXiv preprint arXiv:1811.04241, 2018 | 361* | 2018 |
| Intrusion Detection Using Deep Belief Network and Extreme Learning Machine Z Alom, VR Bontupalli, TM Taha Artificial Intelligence: Concepts, Methodologies, Tools, and Applications …, 2016 | 331* | 2016 |
| Intrusion detection using deep belief networks MZ Alom, VR Bontupalli, TM Taha Aerospace and Electronics Conference (NAECON), 2015 National, 339-344, 2015 | 308 | 2015 |
| Nuclei Segmentation with Recurrent Residual Convolutional Neural Networks based U-Net (R2U-Net) MZ Alom, C Yakopcic, TM Taha, VK Asari NAECON 2018-IEEE National Aerospace and Electronics Conference, 228-233, 2018 | 275 | 2018 |
| Generalized memristive device SPICE model and its application in circuit design C Yakopcic, TM Taha, G Subramanyam, RE Pino IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2013 | 265 | 2013 |
| COVID_MTNet: COVID-19 Detection with Multi-Task Deep Learning Approaches MZ Alom, MM Rahman, MS Nasrin, TM Taha, VK Asari arXiv preprint arXiv:2004.03747, 2020 | 208 | 2020 |
| Advances in neuromorphic memristor science and applications R Kozma, RE Pino, GE Pazienza Springer Science & Business Media, 2012 | 198 | 2012 |
| Inception recurrent convolutional neural network for object recognition MZ Alom, M Hasan, C Yakopcic, TM Taha, VK Asari Machine Vision and Applications 32 (1), 1-14, 2021 | 156 | 2021 |
| Improved Inception-Residual Convolutional Neural Network for Object Recognition MZ Alom, M Hasan, C Yakopcic, TM Taha, VK Asari arXiv preprint arXiv:1712.09888, 2017 | 149 | 2017 |
| Improved Inception-Residual Convolutional Neural Network for Object Recognition M Zahangir Alom, M Hasan, C Yakopcic, TM Taha, VK Asari arXiv preprint arXiv:1712.09888, 2017 | 149* | 2017 |
| Network intrusion detection for cyber security using unsupervised deep learning approaches MZ Alom, TM Taha Aerospace and Electronics Conference (NAECON), 2017 IEEE National, 63-69, 2017 | 146 | 2017 |
