Federated Learning for Renal Tumor Segmentation and Classification on Multi‐Center <scp>MRI</scp> Dataset

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Publication Details

Journal
Journal of Magnetic Resonance Imaging
Published
2025-05-19
DOI
https://doi.org/10.1002/jmri.29819
Citations
3
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
4.08

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article

Federated Learning for Renal Tumor Segmentation and Classification on Multi‐Center MRI Dataset

Zhusi Zhong, Alireza Mohseni, Linmei Zhao, Mihir Khunte et al.
3 citations
Journal of Magnetic Resonance Imaging
Radiomics and Machine Learning in Medical Imaging
4.08
article

Federated Learning for Renal Tumor Segmentation and Classification on Multi‐Center MRI Dataset

Zhusi Zhong, Alireza Mohseni, Linmei Zhao, Mihir Khunte, Maliha Imami, Zhicheng Jiao, Zishu Zhang, Ihab R. Kamel, Dat‐Thanh Nguyen, Nicolas Loizou, Paul J. Zhang, Ali Borhani, Weihua Liao, Harrison X. Bai, Shujie Yao, Victoria Shi, Jing Wu, Alvin C. Silva, Yuli Wang
article en
3 citations

Abstract

No abstract available for this paper.
Journal of Magnetic Resonance ImagingVol. 62(3)
Tufts University (US), Mayo Clinic (US), Central South University (CN), Johns Hopkins University (US), University of Colorado Boulder (US), Brown University (US), Hospital of the University of Pennsylvania (US), Johns Hopkins Medicine (US), Rhode Island Hospital (US), Second Xiangya Hospital of Central South University (CN), Xiangya Hospital Central South University (CN)
Natural Science Foundation of Hunan Province
Openalex Percentile: Top 6%
Radiomics and Machine Learning in Medical Imaging
4.08
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Federated Learning for Renal Tumor Segmentation and Classification on Multi‐Center <scp>MRI</scp> Dataset — Zhusi Zhong, Alireza Mohseni, et al. · Journal of Magnetic Resonance Imaging (2025) | TGRS Research Map | TGRS