Publications
George Yiasemis
2024
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Deep Cardiac MRI Reconstruction with ADMMStatistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge PapersG. Yiasemis, N. Moriakov, J. Sonke, J. Teuwen, 2024
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The state-of-the-art in Cardiac MRI Reconstruction: Results of the CMRxRecon Challenge in MICCAI 2023J. 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
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End-to-end Adaptive Dynamic Subsampling and Reconstruction for Cardiac MRIG. Yiasemis, J. Sonke, J. Teuwen, 2024
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Deep Multi-contrast Cardiac MRI Reconstruction via vSHARP with Auxiliary Refinement NetworkG. Yiasemis, N. Moriakov, J. Sonke, J. Teuwen, 2024
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2023
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vSHARP: variable Splitting Half-quadratic ADMM algorithm for Reconstruction of inverse-ProblemsG. Yiasemis, N. Moriakov, J. Sonke, J. Teuwen, 2023
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JSSL: Joint Supervised and Self-supervised Learning for MRI ReconstructionG. Yiasemis, N. Moriakov, C. I. Sánchez, J. Sonke, J. Teuwen, 2023
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2022
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Multi-Coil MRI Reconstruction Challenge—Assessing Brain MRI Reconstruction Models and Their Generalizability to Varying Coil ConfigurationsFrontiers in NeuroscienceY. 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
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DIRECT: Deep Image REConstruction ToolkitJournal of Open Source SoftwareG. Yiasemis, N. Moriakov, D. Karkalousos, M. Caan, J. Teuwen, 2022, 7;(73):4278
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Deep MRI reconstruction with radial subsamplingMedical Imaging 2022: Physics of Medical ImagingG. Yiasemis, C. Zhang, C. I. Sánchez, J. Sonke, J. Teuwen, 2022
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Recurrent variational network: A deep learning inverse problem solver applied to the task of accelerated mri reconstructionProceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)G. Yiasemis, J. Sonke, C. Sánchez, J. Teuwen, 2022
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