collaborators

6 papers

cs.CV2026

ResNet-50 with Class Reweighting and Anatomy-Guided Temporal Decoding for Gastrointestinal Video Analysis

Romil Imtiaz, Dimitris K. Iakovidis

We developed a multi-label gastrointestinal video analysis pipeline based on a ResNet-50 frame classifier followed by anatomy-guided temporal event decoding. The system predicts 17…

cs.CV2026

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…

cs.CV2026

Leveraging Unlabeled Scans for NCCT Image Segmentation in Early Stroke Diagnosis: A Semi-Supervised GAN Approach

Maria Thoma, Michalis A. Savelonas, Dimitris K. Iakovidis

Ischemic stroke is a time-critical medical emergency where rapid diagnosis is essential for improving patient outcomes. Non-contrast computed tomography (NCCT) serves as the frontl…

cs.CV2025

Interpretable Similarity of Synthetic Image Utility

Panagiota Gatoula, George Dimas, Dimitris K. Iakovidis

Synthetic medical image data can unlock the potential of deep learning (DL)-based clinical decision support (CDS) systems through the creation of large scale, privacy-preserving, t…

cs.CV2025

Intuitionistic Fuzzy Cognitive Maps for Interpretable Image Classification

Georgia Sovatzidi, Michael D. Vasilakakis, Dimitris K. Iakovidis

Several deep learning (DL) approaches have been proposed to deal with image classification tasks. However, despite their effectiveness, they lack interpretability, as they are unab…

cs.CV2025

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…