Wan-hu Li
Jinan, 250117, China
Last Updated: 09/26/2026
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Found 9 publications
18F-FDG PET/CT and receptor-positive circulating tumor cells-based machine learning model for predicting poorly differentiated lung adenocarcinoma.
Journal: Lung cancer (Amsterdam, Netherlands)
Published: September 29, 2025
18F-FDG PET/CT-based Radiomics Analysis of Different Machine Learning Models for Predicting Pathological Highly Invasive Non-small Cell Lung Cancer.
Journal: Academic radiology
Published: July 15, 2025
The prognostic value of 11th Japanese classification and 8th AJCC staging systems in Chinese patients with esophageal squamous cell carcinoma.
Journal: Journal of cardiothoracic surgery
Published: August 09, 2022
Combined model of radiomics and clinical features for differentiating pneumonic-type mucinous adenocarcinoma from lobar pneumonia: An exploratory study.
Journal: Frontiers in endocrinology
Published: July 19, 2022
Pretreatment Thoracic CT Radiomic Features to Predict Brain Metastases in Patients With ALK-Rearranged Non-Small Cell Lung Cancer.
Journal: Frontiers in genetics
Published: September 07, 2021
Risk stratification in GIST: shape quantification with CT is a predictive factor.
Journal: European radiology
Published: August 27, 2019
Malignant jejunal gastrointestinal stromal tumor with history of prostate cancer: A case report.
Journal: Medicine
Published: May 03, 2019
False-positive diagnosis of disease progression by magnetic resonance imaging for response assessment in prostate cancer with bone metastases: A case report and review of the pitfalls of images in the literature.
Journal: Oncology letters
Published: November 19, 2014
A comparative proteomic study identified calreticulin and prohibitin up-regulated in adrenocortical carcinomas.
Journal: Diagnostic pathology
Published: February 23, 2013
Showing 1-9 of 9
Last Updated: 09/26/2026