Application of Artificial Intelligence in Microwave Radiometry (MWR). - Christoforos Galazis; Sergey Vesnin; Igor Goryanin (BIOINFORMATICS, 2019)

Application of Data Mining and Machine Learning in Microwave Radiometry (MWR). - Vladislav Levshinskii; Christoforos Galazis; Lev Ovchinnikov; Sergey Vesnin; Alexander Losev; Igor Goryanin (BIOSTEC (Selected Papers), 2019)

Tempera: Spatial Transformer Feature Pyramid Network for Cardiac MRI Segmentation. - Christoforos Galazis; Huiyi Wu; Zhuoyu Li; Camille Petri; Anil A. Bharath; Marta Varela (STACOM@MICCAI, 2021)

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 (MICCAI (1), 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)

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 (FIMH, 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)

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)

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)

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 (CMRxRecon/MBAS/STACOM@MICCAI, 2024)

Two-Stage nnU-Net for Automatic Multi-class Bi-atrial Segmentation from LGE-MRIs. - Y. On; Christoforos Galazis; Ching-En Chiu; Marta Varela (CMRxRecon/MBAS/STACOM@MICCAI, 2024)

Multi-Tiered Self-Contrastive Learning for Medical Microwave Radiometry (MWR) Breast Cancer Detection. - Christoforos Galazis; Huiyi Wu; Igor Goryanin (CoRR, 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)

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, 2025)