34 citations · 47 across the 5 of their papers we have counts for
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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…
Multiscale Vector-Quantized Variational Autoencoder for Endoscopic Image Synthesis
Dimitrios E. Diamantis, Dimitris K. Iakovidis
Gastrointestinal (GI) imaging via Wireless Capsule Endoscopy (WCE) generates a large number of images requiring manual screening. Deep learning-based Clinical Decision Support (CDS…
Clinical Evaluation of Medical Image Synthesis: A Case Study in Wireless Capsule Endoscopy
Panagiota Gatoula, Dimitrios E. Diamantis, Anastasios Koulaouzidis +10
Synthetic Data Generation (SDG) based on Artificial Intelligence (AI) can transform the way clinical medicine is delivered by overcoming privacy barriers that currently render clin…
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…
This Intestine Does Not Exist: Multiscale Residual Variational Autoencoder for Realistic Wireless Capsule Endoscopy Image Generation
Dimitrios E. Diamantis, Panagiota Gatoula, Anastasios Koulaouzidis +1
Medical image synthesis has emerged as a promising solution to address the limited availability of annotated medical data needed for training machine learning algorithms in the con…