He Zhang
No.419 Fangxie Road
Shanghai, 200011, China
Shanghai, 200011, China
Last Updated: 09/26/2026
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Found 20 publications
Research trends and emerging themes of magnetic resonance imaging in endometrial cancer: a bibliometric analysis.
Journal: Abdominal radiology (New York)
Published: December 17, 2025
Development and Validation of an Explainable MRI-Based Habitat Radiomics Model for Predicting p53-Abnormal Endometrial Cancer: A Multicentre Feasibility Study.
Journal: Journal of imaging informatics in medicine
Published: April 16, 2025
Preoperative risk assessment of invasive endometrial cancer using MRI-based radiomics: a systematic review and meta-analysis.
Journal: Abdominal radiology (New York)
Published: January 06, 2025
Comparative efficacy of MRI versus ultrasound in prenatal diagnosis of placenta accreta spectrum disorders: a single-tertiary center study.
Journal: Archives of gynecology and obstetrics
Published: October 28, 2024
The qualitative and quantitative characteristics of serous endometrial carcinoma on MRI: applying a novel nomogram for predicting an aggressive histological type.
Journal: Frontiers in oncology
Published: July 29, 2024
Both intra- and peri-tumoral radiomics signatures can be used to predict lymphatic vascular space invasion and lymphatic metastasis positive status from endometrial cancer MR imaging.
Journal: Abdominal radiology (New York)
Published: March 28, 2024
Fully Automated Identification of Lymph Node Metastases and Lymphovascular Invasion in Endometrial Cancer From Multi-Parametric MRI by Deep Learning.
Journal: Journal of magnetic resonance imaging : JMRI
Published: December 21, 2023
A joint brain extraction and image quality assessment framework for fetal brain MRI slices.
Journal: NeuroImage
Published: October 13, 2023
Determination of p53abn endometrial cancer: a multitask analysis using radiological-clinical nomogram on MRI.
Journal: The British journal of radiology
Published: June 23, 2023
3D reconstruction of the uterus and automatic segmentation of the uterine cavity on 3D magnetic resonance imaging: A preliminary study.
Journal: Heliyon
Published: January 20, 2023
Deep learning for the ovarian lesion localization and discrimination between borderline and malignant ovarian tumors based on routine MR imaging.
Journal: Scientific reports
Published: August 27, 2022
Author Correction: A computerized diagnostic model for automatically evaluating placenta accrete spectrum disorders based on the combined MR radiomics-clinical signatures.
Journal: Scientific reports
Published: July 12, 2022
Last Updated: 09/26/2026