Publications

George Yiasemis

2025

  1. The state-of-the-art in cardiac MRI reconstruction: Results of the CMRxRecon challenge in MICCAI 2023
    Medical Image Analysis
    J. Lyu, C. Qin, S. Wang, F. Wang, Y. Li, Z. Wang, K. Guo, C. Ouyang, M. Tänzer, M. Liu, L. Sun, M. Sun, Q. Li, Z. Shi, S. Hua, H. Li, Z. Chen, Z. Zhang, B. Xin, D. N. Metaxas, G. Yiasemis, J. Teuwen, L. Zhang, W. Chen, Y. Zhao, Q. Tao, Y. Pang, X. Liu, A. Razumov, D. V. Dylov, Q. Dou, K. Yan, Y. Xue, Y. Du, J. Dietlmeier, C. Garcia-Cabrera, Z. Al-Haj Hemidi, N. Vogt, Z. Xu, Y. Zhang, Y. Chu, W. Chen, W. Bai, X. Zhuang, J. Qin, L. Wu, G. Yang, X. Qu, H. Wang, C. Wang, 2025
    doi
    Abstract
  2. Towards Universal Learning-based Model for Cardiac Image Reconstruction: Summary of the CMRxRecon2024 Challenge
    F. Wang, Z. Wang, Y. Li, J. Lyu, C. Qin, S. Wang, K. Guo, M. Sun, M. Huang, H. Zhang, M. Tänzer, Q. Li, X. Chen, J. Huang, Y. Wu, K. A. Hamedani, Y. Lyu, L. Sun, Q. Li, Z. Xu, B. Xin, D. N. Metaxas, N. Razizadeh, S. Nabavi, G. Yiasemis, J. Teuwen, Z. Zhang, S. Wang, C. Zhang, D. B. Ennis, Z. Xue, C. Hu, R. Xu, I. Oksuz, D. Lyu, Y. Huang, X. Guo, R. Hao, J. H. Patel, G. Cai, B. Chen, Y. Zhang, S. Hua, Z. Chen, Q. Dou, X. Zhuang, Q. Tao, W. Bai, J. Qin, H. Wang, C. Prieto, M. Markl, A. Young, H. Li, X. Hu, L. Wu, X. Qu, G. Yang, C. Wang, 2025
    ArXiv
    Abstract

2024

  1. On retrospective k-space subsampling schemes for deep MRI reconstruction
    Magnetic Resonance Imaging
    G. Yiasemis, C. I. Sánchez, J. Sonke, J. Teuwen, 2024
    doi preprints
    Abstract
  2. Deep Cardiac MRI Reconstruction with ADMM
    Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers
    G. Yiasemis, N. Moriakov, J. Sonke, J. Teuwen, 2024
    doi preprints
    Abstract
  3. The state-of-the-art in Cardiac MRI Reconstruction: Results of the CMRxRecon Challenge in MICCAI 2023
    J. Lyu, C. Qin, S. Wang, F. Wang, Y. Li, Z. Wang, K. Guo, C. Ouyang, M. Tänzer, M. Liu, L. Sun, M. Sun, Q. Li, Z. Shi, S. Hua, H. Li, Z. Chen, Z. Zhang, B. Xin, D. N. Metaxas, G. Yiasemis, J. Teuwen, L. Zhang, W. Chen, Y. Pang, X. Liu, A. Razumov, D. V. Dylov, Q. Dou, K. Yan, Y. Xue, Y. Du, J. Dietlmeier, C. Garcia-Cabrera, Z. A. Hemidi, N. Vogt, Z. Xu, Y. Zhang, Y. Chu, W. Chen, W. Bai, X. Zhuang, J. Qin, L. Wu, G. Yang, X. Qu, H. Wang, C. Wang, 2024
    ArXiv
    Abstract
  4. End-to-end Adaptive Dynamic Subsampling and Reconstruction for Cardiac MRI
    G. Yiasemis, J. Sonke, J. Teuwen, 2024
    ArXiv
    Abstract
  5. Deep Multi-contrast Cardiac MRI Reconstruction via vSHARP with Auxiliary Refinement Network
    G. Yiasemis, N. Moriakov, J. Sonke, J. Teuwen, 2024
    ArXiv
    Abstract

2023

  1. vSHARP: variable Splitting Half-quadratic ADMM algorithm for Reconstruction of inverse-Problems
    G. Yiasemis, N. Moriakov, J. Sonke, J. Teuwen, 2023
    ArXiv
    Abstract
  2. JSSL: Joint Supervised and Self-supervised Learning for MRI Reconstruction
    G. Yiasemis, N. Moriakov, C. I. Sánchez, J. Sonke, J. Teuwen, 2023
    ArXiv
    Abstract

2022

  1. Multi-Coil MRI Reconstruction Challenge—Assessing Brain MRI Reconstruction Models and Their Generalizability to Varying Coil Configurations
    Frontiers in Neuroscience
    Y. Beauferris, J. Teuwen, D. Karkalousos, N. Moriakov, M. Caan, G. Yiasemis, L. Rodrigues, A. Lopes, H. Pedrini, L. Rittner, M. Dannecker, V. Studenyak, F. Gröger, D. Vyas, S. Faghih-Roohi, A. Kumar Jethi, J. Chandra Raju, M. Sivaprakasam, M. Lasby, N. Nogovitsyn, W. Loos, R. Frayne, R. Souza, 2022, 16
    doi preprints paper (open access)
    Abstract
  2. DIRECT: Deep Image REConstruction Toolkit
    Journal of Open Source Software
    G. Yiasemis, N. Moriakov, D. Karkalousos, M. Caan, J. Teuwen, 2022, 7;(73):4278
    doi paper (open access)
    Abstract
  3. Deep MRI reconstruction with radial subsampling
    Medical Imaging 2022: Physics of Medical Imaging
    G. Yiasemis, C. Zhang, C. I. Sánchez, J. Sonke, J. Teuwen, 2022
    doi preprints
    Abstract
  4. Recurrent variational network: A deep learning inverse problem solver applied to the task of accelerated mri reconstruction
    Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
    G. Yiasemis, J. Sonke, C. Sánchez, J. Teuwen, 2022
    url preprints
    Abstract