ArticleRadiology. Artificial intelligence2025
CMRxRecon2024: A Multimodality, Multiview k-Space Dataset Boosting Universal Machine Learning for Accelerated Cardiac MRI.
Erratum issuedAbstract read
In one paragraph
Article in Radiology. Artificial intelligence, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.
0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed.
- Advancements in Cardiac Magnetic Resonance Imaging: Innovations, Challenges, and Future Directions.Reviews in cardiovascular medicine · 2026Review
- Truncated enhanced constraint for low-rank plus sparse in cardiac dynamic MRI reconstruction.Magnetic resonance letters · 2026Article
- In Vivo Dynamic Coronary Arteries Blood Flow Imaging Based on Multi-Cycle Phase Clustering Ultrafast Ultrasound.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Highlights of the Society for Cardiovascular Magnetic Resonance 2025 conference: Leading the way to accessible, efficient, and sustainable cardiovascular magnetic resonance.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic ResonanceArticle
Corrections and comments
- Erratum issued
Authors and funding
32 authors.
Zi Wang *Department of Electronic Science, Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, China.ORCID 0000-0001-8635-8334
Fanwen Wang *Department of Bioengineering and Imperial-X, Imperial College London, London, United Kingdom.ORCID 0000-0001-5491-8333
Chen QinDepartment of Electrical and Electronic Engineering & Imperial-X, Imperial College London, London, United Kingdom.
Jun LyuSchool of Computer and Control Engineering, Yantai University, Yantai, China.
Cheng OuyangDepartment of Computing & Department of Brain Sciences, Imperial College London, London, United Kingdom.
Shuo WangDigital Medical Research Center, School of Basic Medical Sciences, Fudan University, Shanghai, China.ORCID 0000-0002-2947-8783
Yan LiDepartment of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Mengyao YuHuman Phenome Institute, Fudan University, Shanghai, China.ORCID 0000-0002-5346-535X
Haoyu ZhangDepartment of Electronic Science, Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, China.ORCID 0009-0009-8851-0630
Kunyuan GuoDepartment of Electronic Science, Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, China.
Zhang ShiDepartment of Radiology, Zhongshan Hospital, Fudan University, Shanghai, China.ORCID 0000-0001-7739-7497
Qirong LiHuman Phenome Institute, Fudan University, Shanghai, China.ORCID 0009-0001-1273-201X
Ziqiang XuSchool of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China.ORCID 0009-0001-7121-700X
Yajing ZhangGE HealthCare, Beijing, China.
Hao LiInstitute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China.ORCID 0000-0002-7712-0890
Sha HuaDepartment of Cardiovascular Medicine, Ruijin Hospital Lu Wan Branch, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Binghua ChenDepartment of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.ORCID 0000-0002-2718-8416
Longyu SunHuman Phenome Institute, Fudan University, Shanghai, China.
Mengting SunHuman Phenome Institute, Fudan University, Shanghai, China.
Qing LiHuman Phenome Institute, Fudan University, Shanghai, China.
Ying-Hua ChuSiemens Healthineers, Shanghai, China.ORCID 0000-0002-5574-4053
Wenjia BaiDepartment of Computing & Department of Brain Sciences, Imperial College London, London, United Kingdom.ORCID 0000-0003-2943-7698
Jing QinSchool of Nursing, The Hong Kong Polytechnic University, Hong Kong, China.ORCID 0000-0002-7059-0929
Xiahai ZhuangSchool of Data Science, Fudan University, Shanghai, China.ORCID 0000-0003-4351-4979
Claudia PrietoSchool of Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile.ORCID 0000-0003-4602-2523
Alistair YoungSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.ORCID 0000-0001-5702-4220
Michael MarklDepartment of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, Ill.ORCID 0000-0002-7686-1128
He WangInstitute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China.ORCID 0000-0002-2053-9439
Lian-Ming WuDepartment of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.ORCID 0000-0001-7381-5436
Guang YangDepartment of Bioengineering and Imperial-X, Imperial College London, London, United Kingdom.ORCID 0000-0001-7344-7733
Xiaobo Qu *Department of Electronic Science, Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, China.ORCID 0000-0002-8675-5820
Chengyan Wang *Human Phenome Institute and Shanghai Pudong Hospital, Fudan University, 825 Zhangheng Road, Pudong New District, Shanghai 201203, China.ORCID 0000-0002-8890-4973
Funding
Wellcome Trust
Abstract
PubMed holds no abstract for this paper.
Indexed as
Application DomainCardiacImage AcquisitionMachine LearningMR-ImagingReconstruction AlgorithmsSupervised Learning
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Read underepoch 390
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.