Zan Ke
No. 1095 Jiefang Road
Wuhan, 430030, China
Wuhan, 430030, China
Last Updated: 09/26/2026
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Found 13 publications
Radiomics analysis enables fatal outcome prediction for hospitalized patients with coronavirus disease 2019 (COVID-19).
Journal: Acta radiologica (Stockholm, Sweden : 1987)
Published: February 19, 2021
Validation of SE-EPI-based T2 mapping for characterization of prostate cancer: a new method compared with the traditional CPMG method.
Journal: Abdominal radiology (New York)
Published: June 21, 2019
Bi-exponential versus mono-exponential diffusion-weighted imaging for evaluating prostate cancer aggressiveness after radical prostatectomy: a whole-tumor histogram analysis.
Journal: Acta radiologica (Stockholm, Sweden : 1987)
Published: March 23, 2019
Multi-parametric MRI-based radiomics signature for discriminating between clinically significant and insignificant prostate cancer: Cross-validation of a machine learning method.
Journal: European journal of radiology
Published: November 07, 2018
Diagnostic Performance and Interobserver Consistency of the Prostate Imaging Reporting and Data System Version 2: A Study on Six Prostate Radiologists with Different Experiences from Half a Year to 17 Years.
Journal: Chinese medical journal
Published: July 13, 2018
Using the prostate imaging reporting and data system version 2 (PI-RIDS v2) to detect prostate cancer can prevent unnecessary biopsies and invasive treatment.
Journal: Asian journal of andrology
Published: April 19, 2018
Multi-model Analysis of Diffusion-weighted Imaging of Normal Testes at 3.0 T: Preliminary Findings.
Journal: Academic radiology
Published: August 07, 2017
Characterization of testicular germ cell tumors: Whole-lesion histogram analysis of the apparent diffusion coefficient at 3T.
Journal: European journal of radiology
Published: August 03, 2017
MRI feature analysis of uncommon prostatic malignant tumors.
Journal: Asian journal of andrology
Published: June 02, 2017
Effects of Echo Time on IVIM Quantification of the Normal Prostate.
Journal: Scientific reports
Published: May 05, 2017
Searching for prostate cancer by fully automated magnetic resonance imaging classification: deep learning versus non-deep learning.
Journal: Scientific reports
Published: October 20, 2016
Last Updated: 09/26/2026