8 citations · 8 across the 3 of their papers we have counts for
4 papers · 1 filter
Multi-Resolution Feature Fusion U-Net for Magnetic Resonance Imaging Segmentation
Eirini Cholopoulou, Dimitrios E. Diamantis, Dimitris K. Iakovidis
The segmentation of anatomical structures in medical images and particularly in MRI scans, is essential for clinical diagnosis and monitoring disease progression. While Deep Learni…
MeLIAD: Interpretable Few-Shot Anomaly Detection with Metric Learning and Entropy-based Scoring
Eirini Cholopoulou, Dimitris K. Iakovidis
Anomaly detection (AD) plays a pivotal role in multimedia applications for detecting defective products and automating quality inspection. Deep learning (DL) models typically requi…
Soft-Hard Attention U-Net Model and Benchmark Dataset for Multiscale Image Shadow Removal
Eirini Cholopoulou, Dimitrios E. Diamantis, Dimitra-Christina C. Koutsiou +1
Effective shadow removal is pivotal in enhancing the visual quality of images in various applications, ranging from computer vision to digital photography. During the last decades…
E Pluribus Unum Interpretable Convolutional Neural Networks
George Dimas, Eirini Cholopoulou, Dimitris K. Iakovidis
The adoption of Convolutional Neural Network (CNN) models in high-stake domains is hindered by their inability to meet society's demand for transparency in decision-making. So far,…