445 citations · 1.1k across the 12 of their papers we have counts for
18 papers
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…
GanglionNet: Objectively Assess the Density and Distribution of Ganglion Cells With NABLA-N Network
Md Zahangir Alom, Raj P. Kapur, TJ Browen +1
Hirschsprungs disease (HD) is a birth defect which is diagnosed and managed by multiple medical specialties such as pediatric gastroenterology, surgery, radiology, and pathology. H…
COVID_MTNet: COVID-19 Detection with Multi-Task Deep Learning Approaches
Md Zahangir Alom, M M Shaifur Rahman, Mst Shamima Nasrin +2
COVID-19 is currently one the most life-threatening problems around the world. The fast and accurate detection of the COVID-19 infection is essential to identify, take better decis…
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…