66 citations · 137 across the 16 of their papers we have counts for
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Comparative Analysis of Multi-Omics Integration Using Advanced Graph Neural Networks for Cancer Classification
Fadi Alharbi, Aleksandar Vakanski, Boyu Zhang +2
Multi-omics data is increasingly being utilized to advance computational methods for cancer classification. However, multi-omics data integration poses significant challenges due t…
LASSO-MOGAT: A Multi-Omics Graph Attention Framework for Cancer Classification
Fadi Alharbi, Aleksandar Vakanski, Murtada K. Elbashir +1
The application of machine learning methods to analyze changes in gene expression patterns has recently emerged as a powerful approach in cancer research, enhancing our understandi…
Do Sharpness-based Optimizers Improve Generalization in Medical Image Analysis?
Mohamed Hassan, Aleksandar Vakanski, Min Xian
Effective clinical deployment of deep learning models in healthcare demands high generalization performance to ensure accurate diagnosis and treatment planning. In recent years, si…
A2DMN: Anatomy-Aware Dilated Multiscale Network for Breast Ultrasound Semantic Segmentation
Kyle Lucke, Aleksandar Vakanski, Min Xian
In recent years, convolutional neural networks for semantic segmentation of breast ultrasound (BUS) images have shown great success; however, two major challenges still exist. 1) M…