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 | 1936* | 2019 |
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 | 1609 | 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 | 1391 | 2018 |
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 | 320 | 2019 |
Intrusion detection using deep belief networks MZ Alom, VR Bontupalli, TM Taha 2015 National Aerospace and Electronics Conference (NAECON), 339-344, 2015 | 307 | 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 | 223 | 2018 |
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 | 191 | 2020 |
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 | 127 | 2016 |
Network intrusion detection for cyber security using unsupervised deep learning approaches MZ Alom, TM Taha 2017 IEEE national aerospace and electronics conference (NAECON), 63-69, 2017 | 126 | 2017 |
Handwritten bangla character recognition using the state-of-the-art deep convolutional neural networks MZ Alom, P Sidike, M Hasan, TM Taha, VK Asari Computational intelligence and neuroscience 2018, 2018 | 122 | 2018 |
Handwritten bangla digit recognition using deep learning MZ Alom, P Sidike, TM Taha, VK Asari arXiv preprint arXiv:1705.02680, 2017 | 116 | 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 | 96 | 2017 |
Recurrent residual convolutional neural network based on U-Net (R2U-Net) for medical image segmentation. arXiv MZ Alom, M Hasan, C Yakopcic, TM Taha, VK Asari arXiv preprint arXiv:1802.06955 10, 2018 | 89 | 2018 |
Advanced deep convolutional neural network approaches for digital pathology image analysis: A comprehensive evaluation with different use cases MZ Alom, T Aspiras, TM Taha, VK Asari, TJ Bowen, D Billiter, S Arkell arXiv preprint arXiv:1904.09075, 2019 | 48 | 2019 |
Skin cancer segmentation and classification with NABLA-N and inception recurrent residual convolutional networks MZ Alom, T Aspiras, TM Taha, VK Asari arXiv preprint arXiv:1904.11126, 2019 | 47 | 2019 |
Network intrusion detection for cyber security on neuromorphic computing system MZ Alom, TM Taha 2017 International Joint Conference on Neural Networks (IJCNN), 3830-3837, 2017 | 46 | 2017 |
Medical image denoising with recurrent residual u-net (r2u-net) base auto-encoder S Nasrin, MZ Alom, R Burada, TM Taha, VK Asari 2019 IEEE national aerospace and electronics conference (NAECON), 345-350, 2019 | 42 | 2019 |
Effective quantization approaches for recurrent neural networks MZ Alom, AT Moody, N Maruyama, BC Van Essen, TM Taha 2018 international joint conference on neural networks (IJCNN), 1-8, 2018 | 40 | 2018 |
Microscopic nuclei classification, segmentation, and detection with improved deep convolutional neural networks (DCNN) Z Alom, VK Asari, A Parwani, TM Taha Diagnostic Pathology 17 (1), 38, 2022 | 36 | 2022 |