Eugenia Mylona
Orcid: 0000-0002-1275-6249
According to our database1,
Eugenia Mylona
authored at least 16 papers
between 2019 and 2023.
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Bibliography
2023
Diagnosis of Clinical Significant Prostate Cancer on Biparametric Mri Using Zone-Specific Radiomic Features.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Transi-Net: An Explainable Deep Learning Model Ensemble For Prostate's Transition Zone Segmentation.
Proceedings of the 23rd IEEE International Conference on Bioinformatics and Bioengineering, 2023
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2023
2022
ICU admission and mortality classifiers for COVID-19 patients based on subgroups of dynamically associated profiles across multiple timepoints.
Comput. Biol. Medicine, 2022
Predicting the need for mechanical ventilation and mortality in hospitalized COVID-19 patients who received heparin.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
Trajectories and Predictors of Depression After Breast Cancer Diagnosis: A 1-year longitudinal study.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
Fine-tuned feature selection to improve prostate segmentation via a fully connected meta-learner architecture.
Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics, 2022
A hybrid approach based on dynamic trajectories to predict mortality in COVID-19 patients upon steroids administration.
Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics, 2022
Explainable machine learning analysis of longitudinal mental health trajectories after breast cancer diagnosis.
Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics, 2022
2021
A new smart-cropping pipeline for prostate segmentation using deep learning networks.
CoRR, 2021
Mechanistic Simulation of Tumor Response Outperforms Radiomics Predicting Recurrence in Prostate Cancer Radiotherapy.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Voxel-Wise Analysis for Spatial Characterisation of Pseudo-CT Errors in MRI-Only Radiotherapy Planning.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Prediction of Poor Mental Health Following Breast Cancer Diagnosis Using Random Forests<sup>1</sup>.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
A Deep Learning-based cropping technique to improve segmentation of prostate's peripheral zone.
Proceedings of the 21st IEEE International Conference on Bioinformatics and Bioengineering, 2021
2020
Ensemble Learning for Prediction of Toxicity in Prostate Cancer Radiotherapy: Comparison Between Stacking and Genetic Algorithm Weighted Voting.
Proceedings of the 20th IEEE International Conference on Bioinformatics and Bioengineering, 2020
2019
Comparison of Machine Learning Algorithms and Oversampling Techniques for Urinary Toxicity Prediction After Prostate Cancer Radiotherapy.
Proceedings of the 19th IEEE International Conference on Bioinformatics and Bioengineering, 2019