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Liangping Zhou

Association of Pathological Features and Multiparametric MRI ‐Based Radiomics With TP53 ‐Mutated Prostate Cancer
2023 · Ruchuan Chen, Bingni Zhou, et al. · Journal of Magnetic Resonance Imaging · 13
Combination of clinicopathological and MRI based radiomics features in predicting homologous recombination repair genes mutations in prostate cancer
2025 · Ruchuan Chen, Guoqing Hu, et al. · Magnetic Resonance Imaging · 1
The value of MRI-based radiomics and clinicoradiological data for the detection of forkhead box protein A1 gene mutated prostate cancer
2025 · Lin Deng, Ruchuan Chen, et al. · Scientific Reports · 1
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Multicenter Study Suggests Unsupervised Learning Derived From MRI Identifies Prognostic Subgroups in Prostate Cancer Patients After Prostatectomy
2026 · Guoqing Hu, Xiaofeng Liu, et al. · Radiology Research and Practice
Biparametric magnetic resonance imaging-based radiomics model can improve the detection of dense and sparse prostate cancers
2025 · Bingni Zhou, Ting Wang, et al. · Quantitative Imaging in Medicine and Surgery
Time-Dependent Diffusion MRI in the diagnosis of Prostate Cancer
2025 · Bingni Zhou, Xiaohang Liu, et al. · Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Multicenter study demonstrates unsupervised learning derived from magnetic resonance images identify prognosis in prostate cancer patients after prostatectomy
2025 · Guoqing Hu, Xiaofeng Liu, et al. · Research Square
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An unsupervised learning model that integrates clinical and MRI radiomics features outperforms existing models in predicting the 5-year progression-free survival of prostate cancer patients after prostatectomy: a multicenter study
2025 · Guoqing Hu, Xiaofeng Liu, et al. · Research Square
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Works count: 8
Citation count: 15
H-index: 1
I10-index: 1
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