| 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 | 1581 | 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 | 1378 | 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 | 1239 | 2018 |
| Recurrent residual U-Net for medical image segmentation MZ Alom, C Yakopcic, M Hasan, TM Taha, VK Asari Journal of medical imaging 6 (1), 014006-014006, 2019 | 629 | 2019 |
| A memristor device model C Yakopcic, TM Taha, G Subramanyam, RE Pino, S Rogers IEEE electron device letters 32 (10), 1436-1438, 2011 | 359 | 2011 |
| Breast cancer classification from histopathological images with inception recurrent residual convolutional neural network MZ Alom, C Yakopcic, MS Nasrin, TM Taha, VK Asari Journal of digital imaging 32, 605-617, 2019 | 318 | 2019 |
| 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 | 251 | 2013 |
| 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 | 219 | 2018 |
| Improved inception-residual convolutional neural network for object recognition MZ Alom, M Hasan, C Yakopcic, TM Taha, VK Asari Neural Computing and Applications 32 (1), 279-293, 2020 | 133 | 2020 |
| Memristor crossbar deep network implementation based on a convolutional neural network C Yakopcic, MZ Alom, TM Taha 2016 International joint conference on neural networks (IJCNN), 963-970, 2016 | 126 | 2016 |
| Memristor SPICE model and crossbar simulation based on devices with nanosecond switching time C Yakopcic, TM Taha, G Subramanyam, RE Pino The 2013 International Joint Conference on Neural Networks (IJCNN), 1-7, 2013 | 119 | 2013 |
| Inception recurrent convolutional neural network for object recognition MZ Alom, M Hasan, C Yakopcic, TM Taha, VK Asari Machine Vision and Applications 32, 1-14, 2021 | 101 | 2021 |
| Memristor based neuromorphic circuit for ex-situ training of multi-layer neural network algorithms C Yakopcic, R Hasan, TM Taha 2015 International Joint Conference on Neural Networks (IJCNN), 1-7, 2015 | 97 | 2015 |
| On-chip training of memristor crossbar based multi-layer neural networks R Hasan, TM Taha, C Yakopcic Microelectronics journal 66, 31-40, 2017 | 96 | 2017 |
| Extremely parallel memristor crossbar architecture for convolutional neural network implementation C Yakopcic, MZ Alom, TM Taha 2017 International Joint Conference on Neural Networks (IJCNN), 1696-1703, 2017 | 95 | 2017 |
| Exploring the design space of specialized multicore neural processors TM Taha, R Hasan, C Yakopcic, MR McLean The 2013 International Joint Conference on Neural Networks (IJCNN), 1-8, 2013 | 71 | 2013 |
| Memristor SPICE modeling C Yakopcic, TM Taha, G Subramanyam, RE Pino Advances in neuromorphic Memristor science and applications, 211-244, 2012 | 62 | 2012 |
| Memristor crossbar based multicore neuromorphic processors TM Taha, R Hasan, C Yakopcic 2014 27th IEEE International System-on-Chip Conference (SOCC), 383-389, 2014 | 56 | 2014 |
| Analog neuromorphic circuits for dot-product operation implementing resistive memories C Yakopcic, TM Taha, MR Hasan US Patent 10,176,425, 2019 | 49 | 2019 |
| On-chip training of memristor based deep neural networks R Hasan, TM Taha, C Yakopcic 2017 International Joint Conference on Neural Networks (IJCNN), 3527-3534, 2017 | 49 | 2017 |
