Novel approaches for medication compliance and effectiveness analysis and support in cardiovascular disease patients. - Ioanna Chouvarda; Polyxeni Gkontra; Athina Kokonozi; Panagiotis Semertzidis; Jennifer Caffarel; Nicos Maglaveras (EMBC, 2011)

Segmentation through a local and adaptive weighting scheme, for contour-based blending of image and prior information. - Dimitrios Zarpalas; Polyxeni Gkontra; Petros Daras; Nicos Maglaveras (CBMS, 2012)

Hippocampus segmentation by optimizing the local contribution of image and prior terms, through graph cuts and multi-atlas. - Dimitrios Zarpalas; Polyxeni Gkontra; Petros Daras; Nicos Maglaveras (ISBI, 2012)

Hippocampus segmentation through gradient based reliability maps for local blending of ACM energy terms. - Dimitrios Zarpalas; Polyxeni Gkontra; Petros Daras; Nikolaos Maglaveras (ISBI, 2013)

Gradient-Based Reliability Maps for ACM-Based Segmentation of Hippocampus. - Dimitrios Zarpalas; Polyxeni Gkontra; Petros Daras; Nicos Maglaveras (IEEE Trans. Biomed. Eng., 2014)

A 3D Fractal-Based Approach towards Understanding Changes in the Infarcted Heart Microvasculature. - Polyxeni Gkontra; Magdalena M. Zak; Kerri-Ann Norton; Andrés Santos; Aleksander S. Popel; Alicia G. Arroyo (MICCAI (3), 2015)

Stacked BCDU-Net with Semantic CMR Synthesis: Application to Myocardial Pathology Segmentation Challenge. - Carlos Martín-Isla; Maryam Asadi-Aghbolaghi; Polyxeni Gkontra; Víctor M. Campello; Sergio Escalera; Karim Lekadir (MyoPS@MICCAI, 2020)

A new scheme for the assessment of the robustness of Explainable Methods Applied to Brain Age estimation. - Ahmed M. A. Salih; Ilaria Boscolo Galazzo; Zahra Raisi-Estabragh; Steffen E. Petersen; Polyxeni Gkontra; Karim Lekadir; Gloria Menegaz; Petia Radeva (CBMS, 2021)

Federated Learning for Multi-Center Imaging Diagnostics: A Study in Cardiovascular Disease. - Akis Linardos; Kaisar Kushibar; Sean Walsh 005; Polyxeni Gkontra; Karim Lekadir (CoRR, 2021)

Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge. - Víctor M. Campello; Polyxeni Gkontra; Cristian Izquierdo; Carlos Martín-Isla; Alireza Sojoudi; Peter M. Full; Klaus H. Maier-Hein; Yao Zhang 010; Zhiqiang He 002; Jun Ma 016; Mario Parreño; Alberto Albiol; et al. (IEEE Trans. Medical Imaging, 2021)

Deep Learning Segmentation of the Right Ventricle in Cardiac MRI: The M&Ms Challenge. - Carlos Martín-Isla; Víctor M. Campello; Cristian Izquierdo; Kaisar Kushibar; Carla Sendra-Balcells; Polyxeni Gkontra; Alireza Sojoudi; Mitchell J. Fulton; Tewodros Weldebirhan Arega; Kumaradevan Punithakumar; Lei Li 020; Xiaowu Sun; et al. (IEEE J. Biomed. Health Informatics, 2023)

Machine and deep learning for longitudinal biomedical data: a review of methods and applications. - Anna Cascarano; Jordi Mur-Petit; Jerónimo Hernández-González; Marina Camacho; Nina de Toro Eadie; Polyxeni Gkontra; Marc Chadeau-Hyam; Jordi Vitrià; Karim Lekadir (Artif. Intell. Rev., 2023)

Cardiometabolic risk estimation using exposome data and machine learning. - Angélica Atehortúa; Polyxeni Gkontra; Marina Camacho; Oliver Díaz; Maria Bulgheroni; Valentina Simonetti; Marc Chadeau-Hyam; Janine F. Felix; Sylvain Sebert; Karim Lekadir (Int. J. Medical Informatics, 2023)

Prediction of Incident Atrial Fibrillation in Population with Ischemic Heart Disease Using Machine Learning with Radiomics and ECG Markers. - Esmeralda Ruiz Pujadas; Nay Aung; Liliana Szabo; Zahra Raisi-Estabragh; Marina Camacho; Steffen E. Petersen; Polyxeni Gkontra; Karim Lekadir (MIUA (2), 2024)

Enhancing Heart Failure Management: Integrating AI with Telemonitoring Systems for Advanced Alarm-Based Solutions. - Joan Perramon Llussà; Júlia Altarriba Paracolls; Ricard Sanjosé Alemany; Marina Bataller; Núria Pastor Hernández; Unai Sánchez Luque; Karim Lekadir; Polyxeni Gkontra (SIPAIM, 2024)

Debiasing Cardiac Imaging with Controlled Latent Diffusion Models. - Grzegorz Skorupko; Richard Osuala; Zuzanna Szafranowska; Kaisar Kushibar; Nay Aung; Steffen E. Petersen; Karim Lekadir; Polyxeni Gkontra (CoRR, 2024)

A review of evaluation approaches for explainable AI with applications in cardiology. - Ahmed M. A. Salih; Ilaria Boscolo Galazzo; Polyxeni Gkontra; Elisa Rauseo; Aaron M. Lee; Karim Lekadir; Petia Radeva; Steffen E. Petersen; Gloria Menegaz (Artif. Intell. Rev., 2024)