Zhijun Ye
Chengdu, China
Last Updated: 09/26/2026
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Found 9 publications
DWI-derived intratumoral, peritumoral, and habitat features for preoperative prediction of lymph node metastasis in early-stage cervical cancer using machine learning method.
Journal: Abdominal radiology (New York)
Published: December 24, 2025
Comparing the efficacy of different methods in assessing cervical stromal invasion in endometrial carcinoma: a retrospective study of 2,020 patients.
Journal: Frontiers in oncology
Published: December 19, 2024
Molecular classification in fertility-sparing treatment of early-stage endometrial cancer: A potential tool for optimizing patient selection.
Journal: Gynecologic oncology
Published: June 28, 2024
Automatic biometry of fetal brain MRIs using deep and machine learning techniques.
Journal: Scientific reports
Published: March 08, 2023
Evaluation of tracer kinetic parameters in cervical cancer using dynamic contrast-enhanced MRI as biomarkers in terms of biological relevance, diagnostic performance and inter-center variability.
Journal: Frontiers in oncology
Published: May 31, 2022
Preliminary Study on Quantitative Assessment of the Fetal Brain Using MOLLI T1 Mapping Sequence.
Journal: Journal of magnetic resonance imaging : JMRI
Published: February 17, 2022
Optimization of the image contrast for the developing fetal brain using 3D radial VIBE sequence in 3 T magnetic resonance imaging.
Journal: BMC medical imaging
Published: September 14, 2021
Endometrial carcinoma: use of tracer kinetic modeling of dynamic contrast-enhanced MRI for preoperative risk assessment.
Journal: Cancer imaging : the official publication of the International Cancer Imaging Society
Published: April 26, 2021
Showing 1-9 of 9
Last Updated: 09/26/2026