3 papers
cs.CV2024
Subgraph Clustering and Atom Learning for Improved Image Classification
Aryan Singh, Pepijn Van de Ven, Ciarán Eising +1
In this study, we present the Graph Sub-Graph Network (GSN), a novel hybrid image classification model merging the strengths of Convolutional Neural Networks (CNNs) for feature ext…
cs.CV2023
Connecting the Dots: Graph Neural Network Powered Ensemble and Classification of Medical Images
Aryan Singh, Pepijn Van de Ven, Ciarán Eising +1
Deep learning models have demonstrated remarkable results for various computer vision tasks, including the realm of medical imaging. However, their application in the medical domai…
eess.IV2023
Compact & Capable: Harnessing Graph Neural Networks and Edge Convolution for Medical Image Classification
Aryan Singh, Pepijn Van de Ven, Ciarán Eising +1
Graph-based neural network models are gaining traction in the field of representation learning due to their ability to uncover latent topological relationships between entities tha…