Polyxeni Gkontra

19 papers B 2Journal 9Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Med-DualLoRA: Local Adaptation of Foundation Models for 3D Cardiac MRI. CoRR Joan Perramon Llussà, Amelia Jiménez-Sánchez, Grzegorz Skorupko, Fotis Avgoustidis, Carlos Martín-Isla, Karim Lekadir, Polyxeni Gkontra
2025	—	`conf`	Fairness-Aware Data Augmentation for Cardiac MRI Using Text-Conditioned Diffusion Models. FAIMI@MICCAI Grzegorz Skorupko, Richard Osuala, Zuzanna Szafranowska, Kaisar Kushibar, Vien Ngoc Dang, Nay Aung, Steffen E. Petersen, Karim Lekadir, Polyxeni Gkontra
2024	J	`jnl`	A review of evaluation approaches for explainable AI with applications in cardiology. Artif. Intell. Rev. Ahmed M. Salih, Ilaria Boscolo Galazzo, Polyxeni Gkontra, Elisa Rauseo, Aaron M. Lee, Karim Lekadir, Petia Radeva, Steffen E. Petersen, Gloria Menegaz
2024	J	`jnl`	Debiasing Cardiac Imaging with Controlled Latent Diffusion Models. CoRR Grzegorz Skorupko, Richard Osuala, Zuzanna Szafranowska, Kaisar Kushibar, Nay Aung, Steffen E. Petersen, Karim Lekadir, Polyxeni Gkontra
2024	—	`conf`	Enhancing Heart Failure Management: Integrating AI with Telemonitoring Systems for Advanced Alarm-Based Solutions. SIPAIM Joan Perramon Llussà, Júlia Altarriba Paracolls, Ricard Sanjosé Alemany, Marina Bataller, Núria Pastor Hernández, Unai Sánchez Luque, Karim Lekadir, Polyxeni Gkontra
2024	—	`conf`	Prediction of Incident Atrial Fibrillation in Population with Ischemic Heart Disease Using Machine Learning with Radiomics and ECG Markers. MIUA (2) Esmeralda Ruiz Pujadas, Nay Aung, Liliana Szabo, Zahra Raisi-Estabragh, Marina Camacho, Steffen E. Petersen, Polyxeni Gkontra, Karim Lekadir
2023	J	`jnl`	Cardiometabolic risk estimation using exposome data and machine learning. Int. J. Medical Informatics Angélica Atehortúa, Polyxeni Gkontra, Marina Camacho, Oliver Díaz, Maria Bulgheroni, Valentina Simonetti, Marc Chadeau-Hyam, Janine F. Felix, Sylvain Sebert, Karim Lekadir
2023	J	`jnl`	Deep Learning Segmentation of the Right Ventricle in Cardiac MRI: The M&Ms Challenge. IEEE J. Biomed. Health Informatics 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, Xiaowu Sun, Yasmina Al Khalil, Di Liu, Sana Jabbar, Sandro F. Queiros, Francesco Galati, Moona Mazher, Zheyao Gao, Marcel Beetz, Lennart Tautz, Christoforos Galazis, Marta Varela, Markus Hüllebrand, Vicente Grau, Xiahai Zhuang, Domenec Puig, Maria A. Zuluaga, Hassan Mohy-ud-Din, Dimitris N. Metaxas, Marcel Breeuwer, Rob J. van der Geest, Michelle Noga, Stéphanie Bricq, Mark E. Rentschler, Andrea Guala, Steffen E. Petersen, Sergio Escalera, José F. Rodríguez Palomares, Karim Lekadir
2023	J	`jnl`	Machine and deep learning for longitudinal biomedical data: a review of methods and applications. Artif. Intell. Rev. Anna Cascarano, Jordi Mur-Petit, Jerónimo Hernández-González, Marina Camacho, Nina de Toro Eadie, Polyxeni Gkontra, Marc Chadeau-Hyam, Jordi Vitrià, Karim Lekadir
2021	B	`conf`	A new scheme for the assessment of the robustness of Explainable Methods Applied to Brain Age estimation. CBMS Ahmed M. Salih, Ilaria Boscolo Galazzo, Zahra Raisi-Estabragh, Steffen E. Petersen, Polyxeni Gkontra, Karim Lekadir, Gloria Menegaz, Petia Radeva
2021	J	`jnl`	Federated Learning for Multi-Center Imaging Diagnostics: A Study in Cardiovascular Disease. CoRR Akis Linardos, Kaisar Kushibar, Sean Walsh, Polyxeni Gkontra, Karim Lekadir
2021	J	`jnl`	Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge. IEEE Trans. Medical Imaging Víctor M. Campello, Polyxeni Gkontra, Cristian Izquierdo, Carlos Martín-Isla, Alireza Sojoudi, Peter M. Full, Klaus H. Maier-Hein, Yao Zhang, Zhiqiang He, Jun Ma, Mario Parreño, Alberto Albiol, Fanwei Kong, Shawn C. Shadden, Jorge Corral Acero, Vaanathi Sundaresan, Mina Saber, Mustafa A. Alattar, Hongwei Li, Bjoern H. Menze, Firas Khader, Christoph Haarburger, Cian M. Scannell, Mitko Veta, Adam Carscadden, Kumaradevan Punithakumar, Xiao Liu, Sotirios A. Tsaftaris, Xiaoqiong Huang, Xin Yang, Lei Li, Xiahai Zhuang, David Viladés, Martín Luís Descalzo, Andrea Guala, Lucia La Mura, Matthias G. W. Friedrich, Ria Garg, Julie Lebel, Filipe Henriques, Mahir Karakas, Ersin Çavus, Steffen E. Petersen, Sergio Escalera, Santi Seguí, José F. Rodríguez Palomares, Karim Lekadir
2020	—	`conf`	Stacked BCDU-Net with Semantic CMR Synthesis: Application to Myocardial Pathology Segmentation Challenge. MyoPS@MICCAI Carlos Martín-Isla, Maryam Asadi-Aghbolaghi, Polyxeni Gkontra, Víctor M. Campello, Sergio Escalera, Karim Lekadir
2015	—	`conf`	A 3D Fractal-Based Approach towards Understanding Changes in the Infarcted Heart Microvasculature. MICCAI (3) Polyxeni Gkontra, Magdalena M. Zak, Kerri-Ann Norton, Andrés Santos, Aleksander S. Popel, Alicia G. Arroyo
2014	J	`jnl`	Gradient-Based Reliability Maps for ACM-Based Segmentation of Hippocampus. IEEE Trans. Biomed. Eng. Dimitrios Zarpalas, Polyxeni Gkontra, Petros Daras, Nicos Maglaveras
2013	—	`conf`	Hippocampus segmentation through gradient based reliability maps for local blending of ACM energy terms. ISBI Dimitrios Zarpalas, Polyxeni Gkontra, Petros Daras, Nikolaos Maglaveras
2012	—	`conf`	Hippocampus segmentation by optimizing the local contribution of image and prior terms, through graph cuts and multi-atlas. ISBI Dimitrios Zarpalas, Polyxeni Gkontra, Petros Daras, Nicos Maglaveras
2012	B	`conf`	Segmentation through a local and adaptive weighting scheme, for contour-based blending of image and prior information. CBMS Dimitrios Zarpalas, Polyxeni Gkontra, Petros Daras, Nicos Maglaveras
2011	—	`conf`	Novel approaches for medication compliance and effectiveness analysis and support in cardiovascular disease patients. EMBC Ioanna Chouvarda, Polyxeni Gkontra, Athina Kokonozi, Panagiotis Semertzidis, Jennifer Caffarel, Nicos Maglaveras