Styliani Zelilidou

According to our database, Styliani Zelilidou authored at least 6 papers between 2019 and 2023.

Collaborative distances:

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

2023

Multi-Cohort Evaluation of an Automated Sleep Stage Detection Methodology Using ECG and Respiration Signals ^*.

Kostas M. Tsiouris, George Rigas, Styliani Zelilidou, Evangelia Florou, Foivos Kanellos, Eleftherios Kosmas, Ilias Tsimperis, Emmanouil Vagiakis, Dimitrios I. Fotiadis

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

Segmentation and volume quantification of MR Images for the detection and monitoring multiple sclerosis progression.

Styliani P. Zelilidou, Evanthia E. Tripoliti, Kostas I. Vlachos, Spyridon Konitsiotis, Dimitrios I. Fotiadis

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Multiple Sclerosis Severity Estimation and Progression Prediction Based on Machine Learning Techniques.

Daphni Plati, Evanthia E. Tripoliti, Styliani Zelilidou, Kostas I. Vlachos, Spyridon Konitsiotis, Dimitrios I. Fotiadis

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

White Matter Lesion Segmentation for Multiple Sclerosis Patients implementing deep learning.

Theofilos G. Papadopoulos, Evanthia E. Tripoliti, Daphne Plati, Styliani Zelilidou, Kostas Vlachos, Spiros Konitsiotis, Dimitrios I. Fotiadis

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021

Clustering based Segmentation of MR Images for the Delineation and Monitoring of Multiple Sclerosis Progression.

Styliani P. Zelilidou, Evanthia E. Tripoliti, Kostas I. Vlachos, Spyridon Konitsiotis, Dimitrios I. Fotiadis

Proceedings of the 21st IEEE International Conference on Bioinformatics and Bioengineering, 2021

2019

ProMiSi Architecture - A Tool for the Estimation of the Progression of Multiple Sclerosis Disease using MRI.

Evanthia E. Tripoliti, Styliani Zelilidou, Kostas Vlahos, Spyridon Konitsiotis, Dimitrios I. Fotiadis

Proceedings of the 19th IEEE International Conference on Bioinformatics and Bioengineering, 2019