Polyxeni Gkontra
Orcid: 0000-0001-8828-6143
According to our database1,
Polyxeni Gkontra
authored at least 17 papers
between 2011 and 2024.
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Bibliography
2024
A review of evaluation approaches for explainable AI with applications in cardiology.
Artif. Intell. Rev., September, 2024
Enhancing Heart Failure Management: Integrating AI with Telemonitoring Systems for Advanced Alarm-Based Solutions.
Proceedings of the 20th International Symposium on Medical Information Processing and Analysis, 2024
Prediction of Incident Atrial Fibrillation in Population with Ischemic Heart Disease Using Machine Learning with Radiomics and ECG Markers.
Proceedings of the Medical Image Understanding and Analysis - 28th Annual Conference, 2024
2023
Int. J. Medical Informatics, November, 2023
Machine and deep learning for longitudinal biomedical data: a review of methods and applications.
Artif. Intell. Rev., November, 2023
Deep Learning Segmentation of the Right Ventricle in Cardiac MRI: The M&Ms Challenge.
IEEE J. Biomed. Health Informatics, July, 2023
2021
Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge.
IEEE Trans. Medical Imaging, 2021
Federated Learning for Multi-Center Imaging Diagnostics: A Study in Cardiovascular Disease.
CoRR, 2021
A new scheme for the assessment of the robustness of Explainable Methods Applied to Brain Age estimation.
Proceedings of the 34th IEEE International Symposium on Computer-Based Medical Systems, 2021
2020
Stacked BCDU-Net with Semantic CMR Synthesis: Application to Myocardial Pathology Segmentation Challenge.
Proceedings of the Myocardial Pathology Segmentation Combining Multi-Sequence Cardiac Magnetic Resonance Images, 2020
2015
A 3D Fractal-Based Approach towards Understanding Changes in the Infarcted Heart Microvasculature.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015
2014
IEEE Trans. Biomed. Eng., 2014
2013
Hippocampus segmentation through gradient based reliability maps for local blending of ACM energy terms.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
2012
Hippocampus segmentation by optimizing the local contribution of image and prior terms, through graph cuts and multi-atlas.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
Segmentation through a local and adaptive weighting scheme, for contour-based blending of image and prior information.
Proceedings of CBMS 2012, 2012
2011
Novel approaches for medication compliance and effectiveness analysis and support in cardiovascular disease patients.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011