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Results: 2
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  • Open Access
    Yiasemis, G. (2026). What we do sample, we must learn to reconstruct: From missing k-space data to meaningful images: Deep learning in MRI reconstruction and beyond. [Thesis, externally prepared, Universiteit van Amsterdam].
  • Open Access
    Yiasemis, G., Sánchez, C. I., Sonke, J.-J., & Teuwen, J. (2024). On retrospective k-space subsampling schemes for deep MRI reconstruction. Magnetic resonance imaging, 107, 33–46. https://doi.org/10.1016/j.mri.2023.12.012
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