Comparison of Machine Learning Algorithms and Oversampling Techniques for Urinary Toxicity Prediction After Prostate Cancer Radiotherapy. - Eugenia Mylona; Clement Lebreton; Pierre Fontaine; Stéphane Supiot; Nicolas Magne; Gilles Créhange; Renaud de Crevoisier; Oscar Acosta (BIBE, 2019)

Ensemble Learning for Prediction of Toxicity in Prostate Cancer Radiotherapy: Comparison Between Stacking and Genetic Algorithm Weighted Voting. - Filippos Filias; Eugenia Mylona; Kostas Blekos; Stéphane Supiot; Renaud de Crevoisier; Oscar Acosta (BIBE, 2020)

A Deep Learning-based cropping technique to improve segmentation of prostate's peripheral zone. - Dimitrios G. Zaridis; Eugenia Mylona; Nikolaos S. Tachos; Kostas Marias; Manolis Tsiknakis; Dimitrios I. Fotiadis (BIBE, 2021)

Prediction of Poor Mental Health Following Breast Cancer Diagnosis Using Random Forests1. - Eugenia Mylona; Konstantina Kourou; Georgios C. Manikis; Haridimos Kondylakis; Kostas Marias; Evangelos Karademas; Paula Poikonen-Saksela; Ketti Mazzocco; Chiara Marzorati; Ruth Pat-Horenczyk; Ilan Roziner; Berta Sousa; et al. (EMBC, 2021)

Voxel-Wise Analysis for Spatial Characterisation of Pseudo-CT Errors in MRI-Only Radiotherapy Planning. - Hilda Chourak; Anaïs Barateau; Eugenia Mylona; Capucine Cadin; Caroline Lafond; Peter B. Greer; Jason Dowling; Jean-Claude Nunes; Renaud de Crevoisier; Oscar Acosta (ISBI, 2021)

Mechanistic Simulation of Tumor Response Outperforms Radiomics Predicting Recurrence in Prostate Cancer Radiotherapy. - Carlos Sosa Marrero; Pierre Fontaine; Eugenia Mylona; Khémara Gnep; Alfredo Hernández 001; François Paris; Renaud de Crevoisier; Oscar Acosta (ISBI, 2021)

A new smart-cropping pipeline for prostate segmentation using deep learning networks. - Dimitrios G. Zaridis; Eugenia Mylona; Kostas Marias; Nikolaos Papanikolaou 003; Nikolaos S. Tachos; Dimitrios I. Fotiadis (CoRR, 2021)

Explainable machine learning analysis of longitudinal mental health trajectories after breast cancer diagnosis. - Eugenia Mylona; Konstantina Kourou; Georgios C. Manikis; Haridimos Kondylakis; Evangelos Karademas; Kostas Marias; Ketti Mazzocco; Paula Poikonen-Saksela; Ruth Pat-Horenczyk; Berta Sousa; Panagiotis G. Simos; Dimitrios I. Fotiadis (BHI, 2022)

A hybrid approach based on dynamic trajectories to predict mortality in COVID-19 patients upon steroids administration. - Vasileios C. Pezoulas; Eugenia Mylona; Costas Papaloukas; Angelos Liontos; Dimitrios I. Biros; Orestis I. Milionis; Chris Kyriakopoulos; Kostantinos Kostikas; Haralampos Milionis; Dimitrios I. Fotiadis (BHI, 2022)

Fine-tuned feature selection to improve prostate segmentation via a fully connected meta-learner architecture. - Dimitris Zaridis; Eugenia Mylona; Nikolaos S. Tachos; Kostas Marias; Manolis Tsiknakis; Dimitios I. Fotiadis (BHI, 2022)

Trajectories and Predictors of Depression After Breast Cancer Diagnosis: A 1-year longitudinal study. - Eugenia Mylona; Konstantina Kourou; Georgios C. Manikis; Haridimos Kondylakis; Kostas Marias; Evangelos Karademas; Paula Poikonen-Saksela; Ketti Mazzocco; Chiara Marzorati; Ruth Pat-Horenczyk; Ilan Roziner; Berta Sousa; et al. (EMBC, 2022)

Predicting the need for mechanical ventilation and mortality in hospitalized COVID-19 patients who received heparin. - Vasileios C. Pezoulas; Angelos Liontos; Eugenia Mylona; Costas Papaloukas; Orestis I. Milionis; Dimitrios I. Biros; Chris Kyriakopoulos; Kostantinos Kostikas; Haralampos Milionis; Dimitrios I. Fotiadis (EMBC, 2022)

ICU admission and mortality classifiers for COVID-19 patients based on subgroups of dynamically associated profiles across multiple timepoints. - Vasileios C. Pezoulas; Konstantina D. Kourou; Eugenia Mylona; Costas Papaloukas; Angelos Liontos; Dimitrios I. Biros; Orestis I. Milionis; Chris Kyriakopoulos; Kostantinos Kostikas; Haralampos Milionis; Dimitrios I. Fotiadis (Comput. Biol. Medicine, 2022)

Predicting Quality of Life for Breast Cancer Patients *. - Christos Raspoptsis; Eugenia Mylona; Konstantina Kourou; Georgios C. Manikis; Haridimos Kondylakis; Kostas Marias; Paula Poikonen-Saksela; Panagiotis G. Simos; Evangelos Karademas; Ketti Mazzocco; Ruth Pat-Horenczyk; Berta Sousa; et al. (BHI, 2023)

Transi-Net: An Explainable Deep Learning Model Ensemble For Prostate's Transition Zone Segmentation. - Dimitrios I. Zaridis; Eugenia Mylona; Nikolaos S. Tachos; Charalampos Kalantzopoulos; Kostas Marias; Manolis Tsiknakis; Dimitrios D. Koutsouris; George K. Matsopoulos; Dimitrios I. Fotiadis (BIBE, 2023)

Diagnosis of Clinical Significant Prostate Cancer on Biparametric Mri Using Zone-Specific Radiomic Features. - Eugenia Mylona; Dimitrios G. Zaridis; Nikolaos S. Tachos; Manolis Tsiknakis; Kostas Marias; Dimitrios I. Fotiadis (ISBI, 2023)

Spatial Attention-Enhanced Encoder-Decoder Network for Accurate Segmentation of the Prostate's Transition Zone. - Dimitrios I. Zaridis; Eugenia Mylona; Nikolaos S. Tachos; Charalampos Kalantzopoulos; Kostas Marias; Manolis Tsiknakis; Dimitrios I. Fotiadis (EMBC, 2024)

ResQu-Net: Effective prostate's peripheral zone segmentation leveraging the representational power of attention-based mechanisms. - Dimitrios I. Zaridis; Eugenia Mylona; Nikolaos S. Tachos; Charalampos Kalantzopoulos; Kostas Marias; Manolis Tsiknakis; George K. Matsopoulos; Dimitrios D. Koutsouris; Dimitrios I. Fotiadis (Biomed. Signal Process. Control., 2024)

ProLesA-Net: A multi-channel 3D architecture for prostate MRI lesion segmentation with multi-scale channel and spatial attentions. - Dimitrios I. Zaridis; Eugenia Mylona; Nikos Tsiknakis; Nikolaos S. Tachos; George K. Matsopoulos; Kostas Marias; Manolis Tsiknakis; Dimitrios I. Fotiadis (Patterns, 2024)

Large-Scale Radiomics Analysis for Prostate Cancer Detection Harnessing Machine and Deep Learning Models. - Eugenia Mylona; Dimitrios I. Zaridis; Charalampos Kalantzopoulos; Vasileios C. Pezoulas; Nikolaos S. Tachos; George K. Matsopoulos; Daniele Regge; Nikolaos Papanikolaou 003; Manolis Tsiknakis; Kostas Marias; Dimitrios I. Fotiadis (ISBI, 2025)

Texture Preserving Deep Learning-Based Noise Reduction for Anatomical Magnetic Resonance Images and its Impact on Imaging Features. - Eleftherios Trivizakis; Eugenia Mylona; Katerina Nikiforaki; Dimitrios I. Zaridis; Manolis Tsiknakis; Dimitrios I. Fotiadis; Nikolaos S. Tachos; Daniele Regge; Nikolaos Papanikolaou 003; Kostas Marias (SACI, 2025)