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Tarek M. Taha

COVID_MTNet: COVID-19 Detection with Multi-Task Deep Learning Approaches



Md Zahangir Alom , M M Shaifur Rahman , Mst Shamima Nasrin , Tarek M. Taha , Vijayan K. Asari

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* 11 pages, 15 figures 
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High Speed Cognitive Domain Ontologies for Asset Allocation Using Loihi Spiking Neurons



Chris Yakopcic , Nayim Rahman , Tanvir Atahary , Tarek M. Taha , Alex Beigh , Scott Douglass

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* Accepted and to appear in the proceedings of the 2019 IEEE-INNS International Joint Conference on Neural Networks. Citation: C. Yakopcic, T. Atahary, N. Rahman, T. M. Taha, A. Beigh, and S. Douglass, High Speed Approximate Cognitive Domain Ontologies for Asset Allocation Using Loihi Spiking Neurons, IEEE-INNS International Joint Conference on Neural Networks, Budapest, Hungary, July, 2019 
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Skin Cancer Segmentation and Classification with NABLA-N and Inception Recurrent Residual Convolutional Networks



Md Zahangir Alom , Theus Aspiras , Tarek M. Taha , Vijayan K. Asari

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* 7 pages, 7 figures, 2 Tables 
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Advanced Deep Convolutional Neural Network Approaches for Digital Pathology Image Analysis: a comprehensive evaluation with different use cases



Md Zahangir Alom , Theus Aspiras , Tarek M. Taha , Vijayan K. Asari , TJ Bowen , Dave Billiter , Simon Arkell

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* 25 pages, 28 figures, 9 tables 
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Breast Cancer Classification from Histopathological Images with Inception Recurrent Residual Convolutional Neural Network



Md Zahangir Alom , Chris Yakopcic , Tarek M. Taha , Vijayan K. Asari

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* 15 pages, 9 figures, 9 tables 
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Microscopic Nuclei Classification, Segmentation and Detection with improved Deep Convolutional Neural Network (DCNN) Approaches



Md Zahangir Alom , Chris Yakopcic , Tarek M. Taha , Vijayan K. Asari

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* 18 pages, 16 figures, 3 Tables 
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The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches



Md Zahangir Alom , Tarek M. Taha , Christopher Yakopcic , Stefan Westberg , Paheding Sidike , Mst Shamima Nasrin , Brian C Van Esesn , Abdul A S. Awwal , Vijayan K. Asari

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* 39 pages, 46 figures, 3 tables. arXiv admin note: text overlap with arXiv:1408.3264, arXiv:1411.4046 
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Recurrent Residual Convolutional Neural Network based on U-Net (R2U-Net) for Medical Image Segmentation



Md Zahangir Alom , Mahmudul Hasan , Chris Yakopcic , Tarek M. Taha , Vijayan K. Asari

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* 12 pages, 21 figures, 3 Tables 
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Effective Quantization Approaches for Recurrent Neural Networks



Md Zahangir Alom , Adam T Moody , Naoya Maruyama , Brian C Van Essen , Tarek M. Taha

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* 8 pages, 23 figures,Submitted to International Joint Conference on Neural Networks (IJCNN) 2018 
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