Zhiping Li

453# Tiyuchang Road
Hangzhou, 310007, China

Last Updated: 09/26/2026

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Found 8 publications

Developing an interpretable clinical-radiomics machine learning model using whole transition zone MRI analysis for improving diagnosis of transition zone prostate cancer.

Developing an interpretable clinical-radiomics machine learning model using whole transition zone MRI analysis for improving diagnosis of transition zone prostate cancer.

Journal: Frontiers in oncology

Published: September 30, 2025

Zonal-Specific Risk Stratification Integrating Magnetic Resonance Imaging and Prostate-Specific Antigen Density for Optimizing Prostate Biopsy Selection in Prostate-Specific Antigen 4-20 ng/mL Patients.

Zonal-Specific Risk Stratification Integrating Magnetic Resonance Imaging and Prostate-Specific Antigen Density for Optimizing Prostate Biopsy Selection in Prostate-Specific Antigen 4-20 ng/mL Patients.

Journal: The Prostate

Published: April 28, 2025

A comprehensive scoring system integrating clinical and radiological variables for the detection of clinically significant prostate cancer on bi-parameter MRI: multi-center comparison with multi-parametric MRI.

A comprehensive scoring system integrating clinical and radiological variables for the detection of clinically significant prostate cancer on bi-parameter MRI: multi-center comparison with multi-parametric MRI.

Journal: Abdominal radiology (New York)

Published: April 25, 2025

Development and validation of a novel clinical-radiological-pathological scoring system for preoperative prediction of extraprostatic extension in prostate cancer: a multicenter retrospective study.

Development and validation of a novel clinical-radiological-pathological scoring system for preoperative prediction of extraprostatic extension in prostate cancer: a multicenter retrospective study.

Journal: Cancer imaging : the official publication of the International Cancer Imaging Society

Published: April 18, 2025

Intralesional and perilesional radiomics strategy based on different machine learning for the prediction of international society of urological pathology grade group in prostate cancer.

Intralesional and perilesional radiomics strategy based on different machine learning for the prediction of international society of urological pathology grade group in prostate cancer.

Journal: BMC medical imaging

Published: February 16, 2025

Predicting progression of cerebral small vessel disease: relevance of carotid perivascular fat density based on computed tomography angiography.

Predicting progression of cerebral small vessel disease: relevance of carotid perivascular fat density based on computed tomography angiography.

Journal: Quantitative imaging in medicine and surgery

Published: July 24, 2024

A radiomics approach based on MR imaging for classification of deficiency and excess syndrome of traditional Chinese medicine in prostate cancer.

A radiomics approach based on MR imaging for classification of deficiency and excess syndrome of traditional Chinese medicine in prostate cancer.

Journal: Heliyon

Published: May 20, 2023

Imaging features of eosinophilic solid and cystic renal cell carcinoma: An additional case report of a novel tumor entity.

Imaging features of eosinophilic solid and cystic renal cell carcinoma: An additional case report of a novel tumor entity.

Journal: Urology case reports

Published: January 15, 2022

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Last Updated: 09/26/2026