Paraskevas Pegios

According to our database, Paraskevas Pegios authored at least 15 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Need for Speed: Zero-Shot Depth Completion with Single-Step Diffusion.

Jakub Gregorek, Paraskevas Pegios, Nando Metzger, Konrad Schindler, Theodora Kontogianni, Lazaros Nalpantidis

CoRR, March, 2026

2025

Weight Space Correlation Analysis: Quantifying Feature Utilization in Deep Learning Models.

Chun Kit Wong, Paraskevas Pegios, Nina Weng, Emilie Pi Fogtmann Sejer, Martin Grønnebæk Tolsgaard, Anders Nymark Christensen, Aasa Feragen

CoRR, December, 2025

Causally Steered Diffusion for Automated Video Counterfactual Generation.

Nikos Spyrou, Athanasios Vlontzos, Paraskevas Pegios, Thomas Melistas, Nefeli Gkouti, Yannis Panagakis, Giorgos Papanastasiou, Sotirios A. Tsaftaris

CoRR, June, 2025

Graph Counterfactual Explainable AI via Latent Space Traversal.

Andreas Abildtrup Hansen, Paraskevas Pegios, Anna Calissano, Aasa Feragen

Proceedings of the Northern Lights Deep Learning Conference, 2025

Diffusion-Based Iterative Counterfactual Explanations for Fetal Ultrasound Image Quality Assessment.

Paraskevas Pegios, Manxi Lin, Nina Weng, Morten Bo Søndergaard Svendsen, Zahra Bashir, Siavash Arjomand Bigdeli, Anders Nymark Christensen, Martin Grønnebæk Tolsgaard, Aasa Feragen

Proceedings of the Simplifying Medical Ultrasound - 6th International Workshop, 2025

The Cervix in Context: Bias Assessment in Preterm Birth Prediction.

Joris Fournel, Paraskevas Pegios, Emilie Pi Fogtmann Sejer, Martin Grønnebæk Tolsgaard, Aasa Feragen

Proceedings of the Fairness of AI in Medical Imaging - Third International Workshop, 2025

When Pigs Fly: Evaluating Semantic Overconfidence in Deep Neural Network Classifiers.

Panagiotis Dimitrakopoulos, Paraskevas Pegios, Steven McDonagh, Sotirios A. Tsaftaris

Proceedings of the 2025 IEEE International Conference on Image Processing, ICIP 2025, 2025

2024

Counterfactual Explanations via Riemannian Latent Space Traversal.

Paraskevas Pegios, Aasa Feragen, Andreas Abildtrup Hansen, Georgios Arvanitidis

CoRR, 2024

Unsupervised Detection of Fetal Brain Anomalies Using Denoising Diffusion Models.

Markus Ditlev Sjøgren Olsen, Jakob Ambsdorf, Manxi Lin, Caroline Taksøe-Vester, Morten Bo Søndergaard Svendsen, Anders Nymark Christensen, Mads Nielsen, Martin Grønnebæk Tolsgaard, Aasa Feragen, Paraskevas Pegios

Proceedings of the Simplifying Medical Ultrasound - 5th International Workshop, 2024

Learning Semantic Image Quality for Fetal Ultrasound from Noisy Ranking Annotation.

Manxi Lin, Jakob Ambsdorf, Emilie Pi Fogtmann Sejer, Zahra Bashir, Chun Kit Wong, Paraskevas Pegios, Alberto Raheli, Morten Bo Søndergaard Svendsen, Mads Nielsen, Martin Grønnebæk Tolsgaard, Anders Nymark Christensen, Aasa Feragen

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Fast Diffusion-Based Counterfactuals for Shortcut Removal and Generation.

Nina Weng, Paraskevas Pegios, Eike Petersen, Aasa Feragen, Siavash Arjomand Bigdeli

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Semantic similarity metrics for image registration.

Steffen Czolbe, Paraskevas Pegios, Oswin Krause, Aasa Feragen

Medical Image Anal., 2023

Leveraging Shape and Spatial Information for Spontaneous Preterm Birth Prediction.

Paraskevas Pegios, Emilie Pi Fogtmann Sejer, Manxi Lin, Zahra Bashir, Morten Bo Søndergaard Svendsen, Mads Nielsen, Eike Petersen, Anders Nymark Christensen, Martin Grønnebæk Tolsgaard, Aasa Feragen

Proceedings of the Simplifying Medical Ultrasound - 4th International Workshop, 2023

2020

Improving Universal Style Transfer using Sub-style Decomposition.

Paraskevas Pegios, Nikolaos Passalis, Anastasios Tefas

Proceedings of the SETN 2020: 11th Hellenic Conference on Artificial Intelligence, 2020

2018

Style Decomposition for Improved Neural Style Transfer.

Paraskevas Pegios, Nikolaos Passalis, Anastasios Tefas

CoRR, 2018