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Polyxeni Gkontra
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2020 – today
- 2024
- [j6]Ahmed M. A. Salih, Ilaria Boscolo Galazzo, Polyxeni Gkontra, Elisa Rauseo, Aaron M. Lee, Karim Lekadir, Petia Radeva, Steffen E. Petersen, Gloria Menegaz:
A review of evaluation approaches for explainable AI with applications in cardiology. Artif. Intell. Rev. 57(9): 240 (2024) - [c8]Esmeralda Ruiz Pujadas
, Nay Aung, Liliana Szabo, Zahra Raisi-Estabragh, Marina Camacho, Steffen E. Petersen, Polyxeni Gkontra, Karim Lekadir:
Prediction of Incident Atrial Fibrillation in Population with Ischemic Heart Disease Using Machine Learning with Radiomics and ECG Markers. MIUA (2) 2024: 441-453 - [i2]Grzegorz Skorupko, Richard Osuala, Zuzanna Szafranowska, Kaisar Kushibar, Nay Aung, Steffen E. Petersen, Karim Lekadir, Polyxeni Gkontra:
Debiasing Cardiac Imaging with Controlled Latent Diffusion Models. CoRR abs/2403.19508 (2024) - 2023
- [j5]Anna Cascarano
Machine and deep learning for longitudinal biomedical data: a review of methods and applications. Artif. Intell. Rev. 56(S2): 1711-1771 (2023) - [j4]Angélica Atehortúa
Cardiometabolic risk estimation using exposome data and machine learning. Int. J. Medical Informatics 179: 105209 (2023) - [j3]Carlos Martín-Isla
Deep Learning Segmentation of the Right Ventricle in Cardiac MRI: The M&Ms Challenge. IEEE J. Biomed. Health Informatics 27(7): 3302-3313 (2023) - 2021
- [j2]Víctor M. Campello
Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge. IEEE Trans. Medical Imaging 40(12): 3543-3554 (2021) - [c7]Ahmed M. A. Salih
A new scheme for the assessment of the robustness of Explainable Methods Applied to Brain Age estimation. CBMS 2021: 492-497 - [i1]Akis Linardos, Kaisar Kushibar, Sean Walsh, Polyxeni Gkontra, Karim Lekadir:
Federated Learning for Multi-Center Imaging Diagnostics: A Study in Cardiovascular Disease. CoRR abs/2107.03901 (2021) - 2020
- [c6]Carlos Martín-Isla, Maryam Asadi-Aghbolaghi, Polyxeni Gkontra
Stacked BCDU-Net with Semantic CMR Synthesis: Application to Myocardial Pathology Segmentation Challenge. MyoPS@MICCAI 2020: 1-16
2010 – 2019
- 2015
- [c5]Polyxeni Gkontra
A 3D Fractal-Based Approach towards Understanding Changes in the Infarcted Heart Microvasculature. MICCAI (3) 2015: 173-180 - 2014
- [j1]Dimitrios Zarpalas, Polyxeni Gkontra
Gradient-Based Reliability Maps for ACM-Based Segmentation of Hippocampus. IEEE Trans. Biomed. Eng. 61(4): 1015-1026 (2014) - 2013
- [c4]Dimitrios Zarpalas, Polyxeni Gkontra
Hippocampus segmentation through gradient based reliability maps for local blending of ACM energy terms. ISBI 2013: 53-56 - 2012
- [c3]Dimitrios Zarpalas, Polyxeni Gkontra
Segmentation through a local and adaptive weighting scheme, for contour-based blending of image and prior information. CBMS 2012: 1-4 - [c2]Dimitrios Zarpalas, Polyxeni Gkontra
Hippocampus segmentation by optimizing the local contribution of image and prior terms, through graph cuts and multi-atlas. ISBI 2012: 1168-1171 - 2011
- [c1]Ioanna Chouvarda
Novel approaches for medication compliance and effectiveness analysis and support in cardiovascular disease patients. EMBC 2011: 888-891
Coauthor Index
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