George Yiasemis

According to our database, George Yiasemis authored at least 9 papers between 2021 and 2024.

Collaborative distances:

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

2024

End-to-end Adaptive Dynamic Subsampling and Reconstruction for Cardiac MRI.

George Yiasemis, Jan-Jakob Sonke, Jonas Teuwen

CoRR, 2024

2023

JSSL: Joint Supervised and Self-supervised Learning for MRI Reconstruction.

George Yiasemis, Nikita Moriakov, Clara I. Sánchez, Jan-Jakob Sonke, Jonas Teuwen

CoRR, 2023

vSHARP: variable Splitting Half-quadratic ADMM algorithm for Reconstruction of inverse-Problems.

George Yiasemis, Nikita Moriakov, Jan-Jakob Sonke, Jonas Teuwen

CoRR, 2023

On Retrospective k-space Subsampling schemes For Deep MRI Reconstruction.

George Yiasemis, Clara I. Sánchez, Jan-Jakob Sonke, Jonas Teuwen

CoRR, 2023

Deep Cardiac MRI Reconstruction with ADMM.

George Yiasemis, Nikita Moriakov, Jan-Jakob Sonke, Jonas Teuwen

Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers, 2023

2022

DIRECT: Deep Image REConstruction Toolkit.

George Yiasemis, Nikita Moriakov, Dimitrios Karkalousos, Matthan W. A. Caan, Jonas Teuwen

J. Open Source Softw., 2022

Recurrent Variational Network: A Deep Learning Inverse Problem Solver applied to the task of Accelerated MRI Reconstruction.

George Yiasemis, Jan-Jakob Sonke, Clarisa Sánchez, Jonas Teuwen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Recurrent Variational Network: A Deep Learning Inverse Problem Solver applied to the task of Accelerated MRI Reconstruction.

George Yiasemis, Clara I. Sánchez, Jan-Jakob Sonke, Jonas Teuwen

CoRR, 2021

Deep MRI Reconstruction with Radial Subsampling.

George Yiasemis, Chaoping Zhang, Clara I. Sánchez, Jan-Jakob Sonke, Jonas Teuwen

CoRR, 2021