Publications of George Yiasemis

2022

  1. 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, "Multi-Coil MRI Reconstruction Challenge—Assessing Brain MRI Reconstruction Models and Their Generalizability to Varying Coil Configurations", Frontiers in Neuroscience, 2022-07-06, 16
  2. G. Yiasemis, J. Sonke, C. Sánchez, J. Teuwen, "Recurrent Variational Network: A Deep Learning Inverse Problem Solver Applied to the Task of Accelerated MRI Reconstruction", 2022
  3. G. Yiasemis, N. Moriakov, D. Karkalousos, M. Caan, J. Teuwen, "DIRECT: Deep Image REConstruction Toolkit", Journal of Open Source Software, 2022-05-30, 7;(73):4278
  4. G. Yiasemis, C. Zhang, C. I. Sánchez, J. Sonke, J. Teuwen, W. Zhao, L. Yu, "Deep MRI reconstruction with radial subsampling", Medical Imaging 2022: Physics of Medical Imaging, 2022-4-4

2021

  1. 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. K. Jethi, J. C. Raju, M. Sivaprakasam, M. Lasby, N. Nogovitsyn, W. Loos, R. Frayne, R. Souza, "Multi-Coil MRI Reconstruction Challenge – Assessing Brain MRI Reconstruction Models and their Generalizability to Varying Coil Configurations", arXiv:2011.07952 [physics], 2021-12-21
  2. G. Yiasemis, C. I. Sánchez, J. Sonke, J. Teuwen, "Recurrent Variational Network: A Deep Learning Inverse Problem Solver applied to the task of Accelerated MRI Reconstruction", arXiv:2111.09639 [physics], 2021-11-18
  3. G. Yiasemis, C. Zhang, C. I. Sánchez, J. Sonke, J. Teuwen, "Deep MRI Reconstruction with Radial Subsampling", arXiv:2108.07619 [physics], 2021-08-20