E. Mylona

发表

Comparison of deep learning-based and patch-based methods for pseudo-CT generation in MRI-based prostate dose planning.

Renaud de Crevoisier, Caroline Lafond, Oscar Acosta, 2019, International journal of radiation oncology, biology, physics.

Comparison of CBCT-based dose calculation methods in head and neck cancer radiotherapy: from Hounsfield unit to density calibration curve to deep learning.

O. Acosta, A. Simon, A. Largent, 2020, Medical physics.

Voxel-Based Analysis for Identification of Urethrovesical Subregions Predicting Urinary Toxicity After Prostate Cancer Radiation Therapy.

N. Magné, O. Acosta, E. Mylona, 2019, International journal of radiation oncology, biology, physics.

PROper-Net: A Deep-Learning Approach for Prostate’s Peripheral Zone Segmentation based on MR imaging

D. Fotiadis, M. Tsiknakis, E. Mylona, 2022, 2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON).

Predicting the need for mechanical ventilation and mortality in hospitalized COVID-19 patients who received heparin

D. Fotiadis, H. Milionis, E. Mylona, 2022, 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Explainable machine learning analysis of longitudinal mental health trajectories after breast cancer diagnosis

Georgios C. Manikis, D. Fotiadis, H. Kondylakis, 2022, 2022 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI).

Fine-tuned feature selection to improve prostate segmentation via a fully connected meta-learner architecture

M. Tsiknakis, E. Mylona, K. Marias, 2022, 2022 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI).

A smart cropping pipeline to improve prostate’s peripheral zone segmentation on MRI using Deep Learning

M. Tsiknakis, E. Mylona, K. Marias, 2022, EAI Endorsed Transactions on Bioengineering and Bioinformatics.

A Deep Learning-based cropping technique to improve segmentation of prostate's peripheral zone

Manolis Tsiknakis, Dimitrios I. Fotiadis, Kostas Marias, 2021, 2021 IEEE 21st International Conference on Bioinformatics and Bioengineering (BIBE).

Mechanistic Simulation of Tumor Response Outperforms Radiomics Predicting Recurrence in Prostate Cancer Radiotherapy

Renaud de Crevoisier, Oscar Acosta, Eugenia Mylona, 2021, 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI).

Deep learning-based segmentation of prostatic urethra on computed tomography scans for treatment planning.

C. Fiorino, O. Acosta, J. Pascau, 2023, Physics and imaging in radiation oncology.

Prediction of Poor Mental Health Following Breast Cancer Diagnosis Using Random Forests1

Georgios C. Manikis, D. Fotiadis, H. Kondylakis, 2021, 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Trajectories and Predictors of Depression After Breast Cancer Diagnosis: A 1-year longitudinal study

Georgios C. Manikis, D. Fotiadis, H. Kondylakis, 2022, 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Ensemble Learning for Prediction of Toxicity in Prostate Cancer Radiotherapy: Comparison Between Stacking and Genetic Algorithm Weighted Voting

Renaud de Crevoisier, Eugenia Mylona, Oscar Acosta, 2020, 2020 IEEE 20th International Conference on Bioinformatics and Bioengineering (BIBE).

Region-adaptive magnetic resonance image enhancement for improving CNN-based segmentation of the prostate and prostatic zones

D. Fotiadis, M. Tsiknakis, E. Mylona, 2023, Scientific Reports.

Planning With Patient-Specific Rectal Sub-Region Constraints Decreases Probability of Toxicity in Prostate Cancer Radiotherapy

O. Acosta, P. Haigron, A. Simon, 2020, Frontiers in Oncology.

Rectal and Urethro-vesical Subregions for Toxicity Prediction After Prostate Cancer Radiotherapy: validation of voxel-based models in an independent population.

O. Acosta, D. Joseph, E. Mylona, 2020, International journal of radiation oncology, biology, physics.

Local dose analysis to predict acute and late urinary toxicities after prostate cancer radiotherapy: Assessment of cohort and method effects.

N. Magné, C. Fiorino, O. Acosta, 2020, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

ICU admission and mortality classifiers for COVID-19 patients based on subgroups of dynamically associated profiles across multiple timepoints

D. Fotiadis, H. Milionis, E. Mylona, 2021, Computers in Biology and Medicine.

Personalized prediction of one-year mental health deterioration using adaptive learning algorithms: a multicenter breast cancer prospective study

Georgios C. Manikis, D. Fotiadis, H. Kondylakis, 2023, Scientific reports.

A segmentation-based method improving the performance of N4 bias field correction on T2weighted MR imaging data of the prostate.

Georgios C. Manikis, D. Fotiadis, M. Tsiknakis, 2023, Magnetic resonance imaging.

Multi-atlas-based segmentation of prostatic urethra from planning CT imaging to quantify dose distribution in prostate cancer radiotherapy.

Oscar Acosta, Eugenia Mylona, Khemara Gnep, 2017, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

A new smart-cropping pipeline for prostate segmentation using deep learning networks pdf

Dimitrios I. Fotiadis, Kostas Marias, Nikolaos S. Tachos, 2021, ArXiv.