IEEE

Graph-Enhanced Visual Prompting for Pre-Trained Models Adaptation in Medical Imaging Classification

Abstract: Adapting Vision Transformers (ViTs) for medical imaging is constrained by the scarcity of data and high-quality annotations, hindering effective training and robust generalization. Visual ...
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Photoshop tutorial CS6 and later: How to transform your photos into gorgeous lomographs

Photoshop tutorial for versions cs 6 and later, showing how to create the high-contrast, unique saturated color-look of lomographic photos. Photo provided by Shutterstock Image ID: 351961673 ...
Frontiers

The effect of citicoline administration on visual function improvement in stroke patients at Prof. Dr. Chairuddin Panusunan Lubis Hospital, University of Sumatera Utara, and ...

Visual disturbances are a common and often debilitating complication following stroke, significantly impairing patients’ functional independence and quality of life. Among various neuroprotective ...
IEEE

Exploiting Neighbor Effect: Conv-Agnostic GNN Framework for Graphs With Heterophily

Abstract: Due to the homophily assumption in graph convolution networks (GCNs), a common consensus in the graph node classification task is that graph neural networks (GNNs) perform well on homophilic ...