| Comparison of deep learning-based and patch-based methods for pseudo-CT generation in MRI-based prostate dose planning A Largent, A Barateau, JC Nunes, E Mylona, J Castelli, C Lafond, ... International Journal of Radiation Oncology* Biology* Physics 105 (5), 1137-1150, 2019 | 86 | 2019 |
| Comparison of CBCT‐based dose calculation methods in head and neck cancer radiotherapy: from Hounsfield unit to density calibration curve to deep learning A Barateau, R De Crevoisier, A Largent, E Mylona, N Perichon, J Castelli, ... Medical physics 47 (10), 4683-4693, 2020 | 61 | 2020 |
| Voxel-based analysis for identification of urethrovesical subregions predicting urinary toxicity after prostate cancer radiation therapy E Mylona, O Acosta, T Lizee, C Lafond, G Crehange, N Magné, ... International Journal of Radiation Oncology* Biology* Physics 104 (2), 343-354, 2019 | 53 | 2019 |
| Multi-atlas-based segmentation of prostatic urethra from planning CT imaging to quantify dose distribution in prostate cancer radiotherapy O Acosta, E Mylona, M Le Dain, C Voisin, T Lizee, B Rigaud, C Lafond, ... Radiotherapy and Oncology 125 (3), 492-499, 2017 | 31 | 2017 |
| Rectal and urethro-vesical subregions for toxicity prediction after prostate cancer radiation therapy: validation of voxel-based models in an independent population E Mylona, M Ebert, A Kennedy, D Joseph, J Denham, A Steigler, S Supiot, ... International Journal of Radiation Oncology* Biology* Physics 108 (5), 1189-1195, 2020 | 23 | 2020 |
| Synthetic data generation methods in healthcare: A review on open-source tools and methods VC Pezoulas, DI Zaridis, E Mylona, C Androutsos, K Apostolidis, ... Computational and structural biotechnology journal, 2024 | 22 | 2024 |
| Local dose analysis to predict acute and late urinary toxicities after prostate cancer radiotherapy: Assessment of cohort and method effects E Mylona, A Cicchetti, T Rancati, F Palorini, C Fiorino, S Supiot, N Magne, ... Radiotherapy and Oncology 147, 40-49, 2020 | 21 | 2020 |
| A segmentation-based method improving the performance of N4 bias field correction on T2weighted MR imaging data of the prostate A Dovrou, K Nikiforaki, D Zaridis, GC Manikis, E Mylona, N Tachos, ... Magnetic Resonance Imaging 101, 1-12, 2023 | 16 | 2023 |
| Region-adaptive magnetic resonance image enhancement for improving CNN-based segmentation of the prostate and prostatic zones DI Zaridis, E Mylona, N Tachos, VC Pezoulas, G Grigoriadis, N Tsiknakis, ... Scientific Reports 13 (1), 714, 2023 | 15 | 2023 |
| ICU admission and mortality classifiers for COVID-19 patients based on subgroups of dynamically associated profiles across multiple timepoints VC Pezoulas, KD Kourou, E Mylona, C Papaloukas, A Liontos, D Biros, ... Computers in Biology and Medicine 141, 105176, 2022 | 8 | 2022 |
| Planning with patient-specific rectal sub-region constraints decreases probability of toxicity in prostate cancer radiotherapy C Lafond, A Barateau, J N'Guessan, N Perichon, N Delaby, A Simon, ... Frontiers in Oncology 10, 1597, 2020 | 8 | 2020 |
| Prediction of Poor Mental Health Following Breast Cancer Diagnosis Using Random Forests1 E Mylona, K Kourou, G Manikis, H Kondylakis, K Marias, E Karademas, ... 2021 43rd Annual International Conference of the IEEE Engineering in …, 2021 | 7 | 2021 |
| A new smart-cropping pipeline for prostate segmentation using deep learning networks DG Zaridis, E Mylona, NS Tachos, K Marias, N Papanikolaou, M Tsiknakis, ... arXiv preprint arXiv:2107.02476, 2021 | 6 | 2021 |
| A Deep Learning-based cropping technique to improve segmentation of prostate's peripheral zone D Zaridis, E Mylona, N Tachos, K Marias, M Tsiknakis, DI Fotiadis 2021 IEEE 21st International Conference on Bioinformatics and Bioengineering …, 2021 | 5 | 2021 |
| Deep learning-based segmentation of prostatic urethra on computed tomography scans for treatment planning L Cubero, L García-Elcano, E Mylona, A Boue-Rafle, C Cozzarini, ... Physics and Imaging in Radiation Oncology 26, 100431, 2023 | 4 | 2023 |
| Predicting the need for mechanical ventilation and mortality in hospitalized COVID-19 patients who received heparin VC Pezoulas, A Liontos, E Mylona, C Papaloukas, O Milionis, D Biros, ... 2022 44th Annual International Conference of the IEEE Engineering in …, 2022 | 4 | 2022 |
| Trajectories and predictors of depression after breast Cancer diagnosis: a 1-year longitudinal study E Mylona, K Kourou, G Manikis, H Kondylakis, K Marias, E Karademas, ... 2022 44th Annual International Conference of the IEEE Engineering in …, 2022 | 4 | 2022 |
| Comparison of machine learning algorithms and oversampling techniques for urinary toxicity prediction after prostate cancer radiotherapy E Mylona, C Lebreton, P Fontaine, S Supiot, N Magne, G Crehange, ... 2019 IEEE 19th International Conference on Bioinformatics and Bioengineering …, 2019 | 4 | 2019 |
| Personalized prediction of one-year mental health deterioration using adaptive learning algorithms: a multicenter breast cancer prospective study K Kourou, G Manikis, E Mylona, P Poikonen-Saksela, K Mazzocco, ... Scientific Reports 13 (1), 7059, 2023 | 3 | 2023 |
| PROper-Net: A Deep-Learning Approach for Prostate’s Peripheral Zone Segmentation based on MR imaging E Mylona, D Zaridis, N Tachos, K Marias, M Tsiknakis, DI Fotiadis 2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON), 1124-1128, 2022 | 3 | 2022 |
Oscar AcostaUniversité de Rennes, LTSI INSERM UMR 1099Verified email at univ-rennes1.fr