Evaluating the Diagnostic Performance of <scp>MR</scp> Cytometry Imaging in Differentiating Benign and Malignant Breast Tumors

Authors

Thorsten Feiweier (ORCID: https://orcid.org/0009-0005-3537-9844)
Wen Zhong (ORCID: https://orcid.org/0000-0002-2444-3047)
Diwei Shi (ORCID: https://orcid.org/0000-0001-8261-4943)
Junzhong Xu (ORCID: https://orcid.org/0000-0001-7895-4232)
Hua Guo (ORCID: https://orcid.org/0000-0002-0482-1493)
Sisi Li (ORCID: https://orcid.org/0000-0002-6710-9380)
Xinyi Luo (ORCID: https://orcid.org/0009-0004-6443-7356)
Yishi Wang (ORCID: https://orcid.org/0000-0002-9677-5112)
Lei Wu (ORCID: https://orcid.org/0000-0003-0066-3042)
Fan Liu (ORCID: https://orcid.org/0009-0008-8436-3621)
Haihua Bao

Institutions

Vanderbilt University (US)
Qinghai University Affiliated Hospital (CN)
Tsinghua–Berkeley Shenzhen Institute (CN)
Siemens Healthineers (Germany) (DE)
Siemens (China) (CN)
Vanderbilt University Medical Center (US)
Tsinghua University (CN)

Publication Details

Journal: Journal of Magnetic Resonance Imaging
Published: 2025-03-11
DOI: https://doi.org/10.1002/jmri.29757
Citations: 8
Primary Topic: MRI in cancer diagnosis
Type: article
Field-Weighted Citation Impact: 10.88

Funders

National Natural Science Foundation of China
National Key Research and Development Program of China

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article

Evaluating the Diagnostic Performance of MR Cytometry Imaging in Differentiating Benign and Malignant Breast Tumors

Thorsten Feiweier, Wen Zhong, Diwei Shi, Junzhong Xu et al.

Mar 11, 2025

8 citations

Journal of Magnetic Resonance Imaging

MRI in cancer diagnosis

10.88

article

Evaluating the Diagnostic Performance of MR Cytometry Imaging in Differentiating Benign and Malignant Breast Tumors

Thorsten Feiweier, Wen Zhong, Diwei Shi, Junzhong Xu, Hua Guo, Sisi Li, Xinyi Luo, Yishi Wang, Lei Wu, Fan Liu, Haihua Bao

March 11, 2025article en

8 citations

Abstract

No abstract available for this paper.

Journal of Magnetic Resonance ImagingVol. 62(2)

Vanderbilt University (US), Qinghai University Affiliated Hospital (CN), Tsinghua–Berkeley Shenzhen Institute (CN), Siemens Healthineers (Germany) (DE), Siemens (China) (CN), Vanderbilt University Medical Center (US), Tsinghua University (CN)

National Natural Science Foundation of China, National Key Research and Development Program of China

Clean water and sanitation

Openalex Percentile: Top 2%

MRI in cancer diagnosis

10.88

DOI Open Access PDF OpenAlex

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