Yinghao Meng
168 Changhai Road
Shanghai, 200433, China
Shanghai, 200433, China
Last Updated: 09/26/2026
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Found 17 publications
Fully automated magnetic resonance imaging-based radiomics analysis for differentiating pancreatic adenosquamous carcinoma from pancreatic ductal adenocarcinoma.
Journal: Abdominal radiology (New York)
Published: November 05, 2022
CT radiomics signature: a potential biomarker for fibroblast activation protein expression in patients with pancreatic ductal adenocarcinoma.
Journal: Abdominal radiology (New York)
Published: December 13, 2021
Two nomograms for differentiating mass-forming chronic pancreatitis from pancreatic ductal adenocarcinoma in patients with chronic pancreatitis.
Journal: European radiology
Published: December 04, 2021
Prediction of Tumor-Infiltrating CD20+ B-Cells in Patients with Pancreatic Ductal Adenocarcinoma Using a Multilayer Perceptron Network Classifier Based on Non-contrast MRI.
Journal: Academic radiology
Published: August 19, 2021
Computed tomography nomogram to predict a high-risk intraductal papillary mucinous neoplasm of the pancreas.
Journal: Abdominal radiology (New York)
Published: July 16, 2021
Contrast-enhanced computed tomography radiomics and multilayer perceptron network classifier: an approach for predicting CD20+ B cells in patients with pancreatic ductal adenocarcinoma.
Journal: Abdominal radiology (New York)
Published: June 19, 2021
Preoperative Radiomics Approach to Evaluating Tumor-Infiltrating CD8+ T Cells in Patients With Pancreatic Ductal Adenocarcinoma Using Noncontrast Magnetic Resonance Imaging.
Journal: Journal of magnetic resonance imaging : JMRI
Published: June 04, 2021
CT Radiomics and Machine-Learning Models for Predicting Tumor-Stroma Ratio in Patients With Pancreatic Ductal Adenocarcinoma.
Journal: Frontiers in oncology
Published: May 09, 2021
Magnetic Resonance Radiomics and Machine-learning Models: An Approach for Evaluating Tumor-stroma Ratio in Patients with Pancreatic Ductal Adenocarcinoma.
Journal: Academic radiology
Published: May 07, 2021
Preoperative Prediction of G1 and G2/3 Grades in Patients With Nonfunctional Pancreatic Neuroendocrine Tumors Using Multimodality Imaging.
Journal: Academic radiology
Published: March 31, 2021
CT Radiomics Features in Differentiation of Focal-Type Autoimmune Pancreatitis from Pancreatic Ductal Adenocarcinoma: A Propensity Score Analysis.
Journal: Academic radiology
Published: March 18, 2021
Machine learning for MRI radiomics: a study predicting tumor-infiltrating lymphocytes in patients with pancreatic ductal adenocarcinoma.
Journal: Abdominal radiology (New York)
Published: February 24, 2021
Last Updated: 09/26/2026