Christoforos Galazis

According to our database, Christoforos Galazis authored at least 14 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

High-Resolution Maps of Left Atrial Displacements and Strains Estimated With 3D Cine MRI Using Online Learning Neural Networks.

Christoforos Galazis, Samuel Shepperd, Emma J. P. Brouwer, Sandro F. Queirós, Ebraham Alskaf, Mustafa Anjari, Amedeo Chiribiri, Jack Lee, Anil A. Bharath, Marta Varela

IEEE Trans. Medical Imaging, May, 2025

2024

PINNing Cerebral Blood Flow: Analysis of Perfusion MRI in Infants using Physics-Informed Neural Networks.

Christoforos Galazis, Ching-En Chiu, Tomoki Arichi, Anil A. Bharath, Marta Varela

CoRR, 2024

Multi-Tiered Self-Contrastive Learning for Medical Microwave Radiometry (MWR) Breast Cancer Detection.

Christoforos Galazis, Huiyi Wu, Igor Goryanin

CoRR, 2024

Two-Stage nnU-Net for Automatic Multi-class Bi-atrial Segmentation from LGE-MRIs.

Y. On, Christoforos Galazis, Ching-En Chiu, Marta Varela

Proceedings of the Statistical Atlases and Computational Models of the Heart. Workshop, 2024

Physics-Informed Neural Networks Can Accurately Model Cardiac Electrophysiology in 3D Geometries and Fibrillatory Conditions.

Ching-En Chiu, Aditi Roy, Sarah Cechnicka, Ashvin Gupta, Arieh Levy Pinto, Christoforos Galazis, Kim Christensen, Danilo Mandic, Marta Varela

Proceedings of the Statistical Atlases and Computational Models of the Heart. Workshop, 2024

2023

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, 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

IEEE J. Biomed. Health Informatics, July, 2023

High-Resolution Maps of Left Atrial Displacements and Strains Estimated with 3D CINE MRI and Unsupervised Neural Networks.

Christoforos Galazis, Samuel Shepperd, Emma Brouwer, Sandro F. Queirós, Ebraham Alskaf, Mustafa Anjari, Amedeo Chiribiri, Jack Lee, Anil A. Bharath, Marta Varela

CoRR, 2023

High-resolution 3D Maps of Left Atrial Displacements using an Unsupervised Image Registration Neural Network.

Christoforos Galazis, Anil Anthony Bharath, Marta Varela

CoRR, 2023

Automatic Aortic Valve Pathology Detection from 3-Chamber Cine MRI with Spatio-Temporal Attention Maps.

Y. On, Kavitha Vimalesvaran, Christoforos Galazis, Sameer Zaman, James Howard, N. Linton, N. Peters, Graham Cole, Anil A. Bharath, Marta Varela

Proceedings of the Functional Imaging and Modeling of the Heart, 2023

2022

Using AI and passive medical radiometry for diagnostics (MWR) of venous diseases.

Vladislav Levshinskii, Christoforos Galazis, Alexander Losev, T. Zamechnik, Tatyana Kharybina, Sergey Vesnin, Igor Goryanin

Comput. Methods Programs Biomed., 2022

Detecting Aortic Valve Pathology from the 3-Chamber Cine Cardiac MRI View.

Kavitha Vimalesvaran, Fatmatülzehra Uslu, Sameer Zaman, Christoforos Galazis, James Howard, Graham Cole, Anil A. Bharath

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

Tempera: Spatial Transformer Feature Pyramid Network for Cardiac MRI Segmentation.

Christoforos Galazis, Huiyi Wu, Zhuoyu Li, Camille Petri, Anil A. Bharath, Marta Varela

Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge, 2021

2019

Application of Data Mining and Machine Learning in Microwave Radiometry (MWR).

Vladislav Levshinskii, Christoforos Galazis, Lev Ovchinnikov, Sergey Vesnin, Alexander Losev, Igor Goryanin

Proceedings of the Biomedical Engineering Systems and Technologies, 2019

Application of Artificial Intelligence in Microwave Radiometry (MWR).

Christoforos Galazis, Sergey Vesnin, Igor Goryanin

Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019), 2019