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

Fuente: arXiv

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Bibliographic Details
Main Authors:	Wang, Fanwen, Wang, Zi, Li, Yan, Lyu, Jun, Qin, Chen, Wang, Shuo, Guo, Kunyuan, Sun, Mengting, Huang, Mingkai, Zhang, Haoyu, Tänzer, Michael, Li, Qirong, Chen, Xinran, Huang, Jiahao, Wu, Yinzhe, Zhang, Haosen, Hamedani, Kian Anvari, Lyu, Yuntong, Sun, Longyu, Li, Qing, He, Tianxing, Lan, Lizhen, Yao, Qiong, Xu, Ziqiang, Xin, Bingyu, Metaxas, Dimitris N., Razizadeh, Narges, Nabavi, Shahabedin, Yiasemis, George, Teuwen, Jonas, Zhang, Zhenxi, Wang, Sha, Zhang, Chi, Ennis, Daniel B., Xue, Zhihao, Hu, Chenxi, Xu, Ruru, Oksuz, Ilkay, Lyu, Donghang, Huang, Yanxin, Guo, Xinrui, Hao, Ruqian, Patel, Jaykumar H., Cai, Guanke, Chen, Binghua, Zhang, Yajing, Hua, Sha, Chen, Zhensen, Dou, Qi, Zhuang, Xiahai, Tao, Qian, Bai, Wenjia, Qin, Jing, Wang, He, Prieto, Claudia, Markl, Michael, Young, Alistair, Li, Hao, Hu, Xihong, Wu, Lianming, Qu, Xiaobo, Yang, Guang, Wang, Chengyan
Format:	Preprint
Published:	2025
Subjects:	Image and Video Processing
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2503.03971