445 citations · 1.1k across the 12 of their papers we have counts for
16 papers · 1 filter
Evaluating Single and Multi-Omics Based Explainable Artificial Intelligence (MOXAI) for Molecular Subclass Classification of Adult-Type Diffuse Gliomas
Md Zahangir Alom, Quynh T. Tran, Breuer Alexandar +1
DNA methylation (DNAM) profiling has emerged as a powerful diagnostic tool for classifying brain and solid tumors. However, existing computational models typically analyze methylat…
Learned Image resizing with efficient training (LRET) facilitates improved performance of large-scale digital histopathology image classification models
Md Zahangir Alom, Quynh T. Tran, Brent A. Orr
Histologic examination plays a crucial role in oncology research and diagnostics. The adoption of digital scanning of whole slide images (WSI) has created an opportunity to leverag…
Skin Cancer Segmentation and Classification with NABLA-N and Inception Recurrent Residual Convolutional Networks
Md Zahangir Alom, Theus Aspiras, Tarek M. Taha +1
In the last few years, Deep Learning (DL) has been showing superior performance in different modalities of biomedical image analysis. Several DL architectures have been proposed fo…
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 +4
Deep Learning (DL) approaches have been providing state-of-the-art performance in different modalities in the field of medical imagining including Digital Pathology Image Analysis…
Breast Cancer Classification from Histopathological Images with Inception Recurrent Residual Convolutional Neural Network
Md Zahangir Alom, Chris Yakopcic, Tarek M. Taha +1
The Deep Convolutional Neural Network (DCNN) is one of the most powerful and successful deep learning approaches. DCNNs have already provided superior performance in different moda…
Microscopic Nuclei Classification, Segmentation and Detection with improved Deep Convolutional Neural Network (DCNN) Approaches
Md Zahangir Alom, Chris Yakopcic, Tarek M. Taha +1
Due to cellular heterogeneity, cell nuclei classification, segmentation, and detection from pathological images are challenging tasks. In the last few years, Deep Convolutional Neu…
Bangla License Plate Recognition Using Convolutional Neural Networks (CNN)
M M Shaifur Rahman, Mst Shamima Nasrin, Moin Mostakim +1
In the last few years, the deep learning technique in particular Convolutional Neural Networks (CNNs) is using massively in the field of computer vision and machine learning. This…
The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches
Md Zahangir Alom, Tarek M. Taha, Christopher Yakopcic +6
Deep learning has demonstrated tremendous success in variety of application domains in the past few years. This new field of machine learning has been growing rapidly and applied i…
Effective Quantization Approaches for Recurrent Neural Networks
Md Zahangir Alom, Adam T Moody, Naoya Maruyama +2
Deep learning, and in particular Recurrent Neural Networks (RNN) have shown superior accuracy in a large variety of tasks including machine translation, language understanding, and…
Deep Versus Wide Convolutional Neural Networks for Object Recognition on Neuromorphic System
Md Zahangir Alom, Theodore Josue, Md Nayim Rahman +3
In the last decade, special purpose computing systems, such as Neuromorphic computing, have become very popular in the field of computer vision and machine learning for classificat…
Recurrent Residual Convolutional Neural Network based on U-Net (R2U-Net) for Medical Image Segmentation
Md Zahangir Alom, Mahmudul Hasan, Chris Yakopcic +2
Deep learning (DL) based semantic segmentation methods have been providing state-of-the-art performance in the last few years. More specifically, these techniques have been success…
Improved Inception-Residual Convolutional Neural Network for Object Recognition
Md Zahangir Alom, Mahmudul Hasan, Chris Yakopcic +2
Machine learning and computer vision have driven many of the greatest advances in the modeling of Deep Convolutional Neural Networks (DCNNs). Nowadays, most of the research has bee…
Handwritten Bangla Character Recognition Using The State-of-Art Deep Convolutional Neural Networks
Md Zahangir Alom, Peheding Sidike, Mahmudul Hasan +2
In spite of advances in object recognition technology, Handwritten Bangla Character Recognition (HBCR) remains largely unsolved due to the presence of many ambiguous handwritten ch…
Handwritten Bangla Digit Recognition Using Deep Learning
Md Zahangir Alom, Paheding Sidike, Tarek M. Taha +1
In spite of the advances in pattern recognition technology, Handwritten Bangla Character Recognition (HBCR) (such as alpha-numeric and special characters) remains largely unsolved…
Inception Recurrent Convolutional Neural Network for Object Recognition
Md Zahangir Alom, Mahmudul Hasan, Chris Yakopcic +1
Deep convolutional neural networks (DCNNs) are an influential tool for solving various problems in the machine learning and computer vision fields. In this paper, we introduce a ne…
Robust Multi-view Pedestrian Tracking Using Neural Networks
Md Zahangir Alom, Tarek M. Taha
In this paper, we present a real-time robust multi-view pedestrian detection and tracking system for video surveillance using neural networks which can be used in dynamic environme…