George Yiasemis

According to our database, George Yiasemis authored at least 15 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Toward Modality- and Sampling-Universal Learning Strategies for Accelerating Cardiovascular Imaging: Summary of the CMRxRecon2024 Challenge.

Fanwen Wang, Zi Wang, Yan Li, Jun Lyu, Chen Qin, Shuo Wang, Kunyuan Guo, Mengting Sun, Mingkai Huang, Haoyu Zhang, Michael Tänzer, Qirong Li, Xinran Chen, Jiahao Huang, Yinzhe Wu, Haosen Zhang, Kian Anvari Hamedani, Yuntong Lyu, Longyu Sun, Qing Li, Tianxing He, Lizhen Lan, Qiong Yao, Ziqiang Xu, Bingyu Xin, Dimitris N. Metaxas, Narges Razizadeh, Shahabedin Nabavi, George Yiasemis, Jonas Teuwen, Zhenxi Zhang, Sha Wang, Chi Zhang, Daniel B. Ennis, Zhihao Xue, Chenxi Hu, Ruru Xu, Ilkay Öksüz, Donghang Lyu, Yanxin Huang, Xinrui Guo, Ruqian Hao, Jaykumar H. Patel, Guanke Cai, Binghua Chen, Yajing Zhang, Sha Hua, Zhensen Chen, Qi Dou, Xiahai Zhuang, Qian Tao, Wenjia Bai, Harry Qin, He Wang, Claudia Prieto, Michael Markl, Alistair A. Young, Hao Li, Xihong Hu, Lianming Wu, Xiaobo Qu, Guang Yang, Chengyan Wang

IEEE Trans. Medical Imaging, May, 2026

LoGo-MR: Screening Breast MRI for Cancer Risk Prediction by Efficient Omni-Slice Modeling.

Xin Wang, Yuan Gao, George Yiasemis, Antonio Portaluri, Zahra Aghdam, Muzhen He, Luyi Han, Yaofei Duan, Chunyao Lu, Xinglong Liang, Tianyu Zhang, Vivien van Veldhuizen, Yue Sun, Tao Tan, Ritse Mann, Jonas Teuwen

CoRR, April, 2026

2025

TAP-CT: 3D Task-Agnostic Pretraining of Computed Tomography Foundation Models.

Tim Veenboer, George Yiasemis, Eric Marcus, Vivien van Veldhuizen, Cees G. M. Snoek, Jonas Teuwen, Kevin Groot Lipman

CoRR, December, 2025

The state-of-the-art in cardiac MRI reconstruction: Results of the CMRxRecon challenge in MICCAI 2023.

Jun Lyu, Chen Qin, Shuo Wang, Fanwen Wang, Yan Li, Zi Wang, Kunyuan Guo, Ouyang Cheng, Michael Tänzer, Meng Liu, Longyu Sun, Mengting Sun, Qing Li, Zhang Shi, Sha Hua, Hao Li, Zhensen Chen, Zhenlin Zhang, Bingyu Xin, Dimitris N. Metaxas, George Yiasemis, Jonas Teuwen, Liping Zhang, Weitian Chen, Yidong Zhao, Qian Tao, Yanwei Pang, Xiaohan Liu, Artem Razumov, Dmitry V. Dylov, Quan Dou, Kang Yan, Yuyang Xue, Yuning Du, Julia Dietlmeier, Carles García-Cabrera, Ziad Al-Haj Hemidi, Nora Vogt, Ziqiang Xu, Yajing Zhang, Ying-Hua Chu, Weibo Chen, Wenjia Bai, Xiahai Zhuang, Jing Qin, Lianming Wu, Guang Yang, Xiaobo Qu, He Wang, Chengyan Wang

Medical Image Anal., 2025

2024

Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI.

George Yiasemis, Jan-Jakob Sonke, Jonas Teuwen

CoRR, 2024

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

George Yiasemis, Jan-Jakob Sonke, Jonas Teuwen

CoRR, 2024

Deep Multi-contrast Cardiac MRI Reconstruction via vSHARP with Auxiliary Refinement Network.

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

Proceedings of the Statistical Atlases and Computational Models of the Heart. Workshop, 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 I. 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