Identifying Primary Sites of Spinal Metastases: Expert‐Derived Features vs. <scp>ResNet50</scp> Model Using Nonenhanced <scp>MRI</scp>

Authors

Ning Lang (ORCID: https://orcid.org/0000-0003-1860-2918)
Jinlai Ning (ORCID: https://orcid.org/0000-0002-0460-7657)
Jun Xu (ORCID: https://orcid.org/0000-0001-5315-8811)
Siyuan Qin (ORCID: https://orcid.org/0000-0003-3915-0279)
Dapeng Hao (ORCID: https://orcid.org/0000-0003-3499-4106)
Ke Liu (ORCID: https://orcid.org/0000-0003-2465-6218)

Institutions

Qingdao University (CN)
King's College London (GB)
Peking University (CN)
Affiliated Hospital of Qingdao University (CN)
Peking University Third Hospital (CN)

Publication Details

Journal: Journal of Magnetic Resonance Imaging
Published: 2025-01-27
DOI: https://doi.org/10.1002/jmri.29720
Citations: 3
Primary Topic: Management of metastatic bone disease
Type: article
Field-Weighted Citation Impact: 6.02

Funders

National Natural Science Foundation of China

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article

Identifying Primary Sites of Spinal Metastases: Expert‐Derived Features vs. ResNet50 Model Using Nonenhanced MRI

Ning Lang, Jinlai Ning, Jun Xu, Siyuan Qin et al.

Jan 27, 2025

3 citations

Journal of Magnetic Resonance Imaging

Management of metastatic bone disease

6.02

article

Identifying Primary Sites of Spinal Metastases: Expert‐Derived Features vs. ResNet50 Model Using Nonenhanced MRI

Ning Lang, Jinlai Ning, Jun Xu, Siyuan Qin, Dapeng Hao, Ke Liu

January 27, 2025article en

3 citations

Abstract

No abstract available for this paper.

Journal of Magnetic Resonance ImagingVol. 62(1)

Qingdao University (CN), King's College London (GB), Peking University (CN), Affiliated Hospital of Qingdao University (CN), Peking University Third Hospital (CN)

National Natural Science Foundation of China

Openalex Percentile: Top 5%

Management of metastatic bone disease

6.02

DOI Open Access PDF OpenAlex

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Identifying Primary Sites of Spinal Metastases: Expert‐Derived Features vs. <scp>ResNet50</scp> Model Using Nonenhanced <scp>MRI</scp> — Ning Lang, Jinlai Ning, et al. · Journal of Magnetic Resonance Imaging (2025) | TGRS Research Map | TGRS