Md. Zahangir Alom
Orcid: 0000-0002-2314-1207
According to our database1,
Md. Zahangir Alom
authored at least 37 papers
between 2011 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
Learned Image resizing with efficient training (LRET) facilitates improved performance of large-scale digital histopathology image classification models.
CoRR, 2024
2022
Comprehensive study of semi-supervised learning for DNA methylation-based supervised classification of central nervous system tumors.
BMC Bioinform., 2022
2021
Mach. Vis. Appl., 2021
IEEE Access, 2021
2020
Neural Comput. Appl., 2020
GanglionNet: Objectively Assess the Density and Distribution of Ganglion Cells With NABLA-N Network.
CoRR, 2020
IEEE Access, 2020
PColorNet: investigating the impact of different color spaces for pathological image classification.
Proceedings of the Medical Imaging 2020: Digital Pathology, 2020
2019
Breast Cancer Classification from Histopathological Images with Inception Recurrent Residual Convolutional Neural Network.
J. Digit. Imaging, 2019
Skin Cancer Segmentation and Classification with NABLA-N and Inception Recurrent Residual Convolutional Networks.
CoRR, 2019
Advanced Deep Convolutional Neural Network Approaches for Digital Pathology Image Analysis: a comprehensive evaluation with different use cases.
CoRR, 2019
2018
Breast Cancer Classification from Histopathological Images with Inception Recurrent Residual Convolutional Neural Network.
CoRR, 2018
Microscopic Nuclei Classification, Segmentation and Detection with improved Deep Convolutional Neural Network (DCNN) Approaches.
CoRR, 2018
CoRR, 2018
CoRR, 2018
Recurrent Residual Convolutional Neural Network based on U-Net (R2U-Net) for Medical Image Segmentation.
CoRR, 2018
Handwritten Bangla Character Recognition Using the State-of-the-Art Deep Convolutional Neural Networks.
Comput. Intell. Neurosci., 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Deep Versus Wide Convolutional Neural Networks for Object Recognition on Neuromorphic System.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
2017
A fast single-image super-resolution via directional edge-guided regularized extreme learning regression.
Signal Image Video Process., 2017
State Preserving Extreme Learning Machine: A Monotonically Increasing Learning Approach.
Neural Process. Lett., 2017
Extremely parallel memristor crossbar architecture for convolutional neural network implementation.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Object recognition using cellular simultaneous recurrent networks and convolutional neural network.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
2016
A Reconfigurable Low Power High Throughput Streaming Architecture for Big Data Processing.
CoRR, 2016
Memristor crossbar deep network implementation based on a Convolutional neural network.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Non-regularized State Preserving Extreme Learning Machine for Natural Scene Classification.
Proceedings of International Conference on Computer Vision and Image Processing, 2016
2015
Int. J. Monit. Surveillance Technol. Res., 2015
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
2011
Proceedings of the 2011 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2011