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Christoforos Galazis
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2020 – today
- 2024
- [i5]Christoforos Galazis, Huiyi Wu, Igor Goryanin:
Multi-Tiered Self-Contrastive Learning for Medical Microwave Radiometry (MWR) Breast Cancer Detection. CoRR abs/2410.04636 (2024) - [i4]Christoforos Galazis, Ching-En Chiu, Tomoki Arichi, Anil A. Bharath, Marta Varela:
PINNing Cerebral Blood Flow: Analysis of Perfusion MRI in Infants using Physics-Informed Neural Networks. CoRR abs/2410.19759 (2024) - 2023
- [j2]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:
Deep Learning Segmentation of the Right Ventricle in Cardiac MRI: The M&Ms Challenge. IEEE J. Biomed. Health Informatics 27(7): 3302-3313 (2023) - [c5]Y. On, Kavitha Vimalesvaran, Christoforos Galazis, Sameer Zaman, James Howard, N. Linton, N. Peters, Graham Cole, Anil A. Bharath, Marta Varela:
Automatic Aortic Valve Pathology Detection from 3-Chamber Cine MRI with Spatio-Temporal Attention Maps. FIMH 2023: 648-657 - [i3]Christoforos Galazis, Anil Anthony Bharath, Marta Varela:
High-resolution 3D Maps of Left Atrial Displacements using an Unsupervised Image Registration Neural Network. CoRR abs/2309.02179 (2023) - [i2]Christoforos Galazis, Samuel Shepperd, Emma Brouwer, Sandro F. Queirós, Ebraham Alskaf, Mustafa Anjari, Amedeo Chiribiri, Jack Lee, Anil A. Bharath, Marta Varela:
High-Resolution Maps of Left Atrial Displacements and Strains Estimated with 3D CINE MRI and Unsupervised Neural Networks. CoRR abs/2312.09387 (2023) - 2022
- [j1]Vladislav Levshinskii, Christoforos Galazis, Alexander Losev, T. Zamechnik, Tatyana Kharybina, Sergey Vesnin, Igor Goryanin:
Using AI and passive medical radiometry for diagnostics (MWR) of venous diseases. Comput. Methods Programs Biomed. 215: 106611 (2022) - [c4]Kavitha Vimalesvaran, Fatmatülzehra Uslu, Sameer Zaman, Christoforos Galazis, James Howard, Graham Cole, Anil A. Bharath:
Detecting Aortic Valve Pathology from the 3-Chamber Cine Cardiac MRI View. MICCAI (1) 2022: 571-580 - [i1]Christoforos Galazis, Huiyi Wu, Zhuoyu Li, Camille Petri, Anil A. Bharath, Marta Varela:
Tempera: Spatial Transformer Feature Pyramid Network for Cardiac MRI Segmentation. CoRR abs/2203.00355 (2022) - 2021
- [c3]Christoforos Galazis, Huiyi Wu, Zhuoyu Li, Camille Petri, Anil A. Bharath, Marta Varela:
Tempera: Spatial Transformer Feature Pyramid Network for Cardiac MRI Segmentation. STACOM@MICCAI 2021: 268-276
2010 – 2019
- 2019
- [c2]Christoforos Galazis, Sergey Vesnin, Igor Goryanin:
Application of Artificial Intelligence in Microwave Radiometry (MWR). BIOINFORMATICS 2019: 112-122 - [c1]Vladislav Levshinskii, Christoforos Galazis, Lev Ovchinnikov, Sergey Vesnin, Alexander Losev, Igor Goryanin:
Application of Data Mining and Machine Learning in Microwave Radiometry (MWR). BIOSTEC (Selected Papers) 2019: 265-288
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last updated on 2024-12-01 00:13 CET by the dblp team
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