Ruilin He
Shanghai, China
Last Updated: 09/26/2026
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Found 8 publications
Development and Validation of a Clinical Radiomics Nomogram for Predicting Early Recurrence After Microwave Ablation in Hepatocellular Carcinoma Patients With Type 2 Diabetes.
Journal: Cancer management and research
Published: May 08, 2026
MRI radiomics combined with clinical factors to predict vessels encapsulating tumor clusters and early recurrence in hepatocellular carcinoma (≤ 3 cm).
Journal: BMC medical imaging
Published: March 28, 2026
Radiomics with Machine Learning Improves the Prediction of Microscopic Peritumoral Small Cancer Foci and Early Recurrence in Hepatocellular Carcinoma.
Journal: Academic radiology
Published: May 08, 2025
Multilayer perceptron deep learning radiomics model based on Gd-BOPTA MRI to identify vessels encapsulating tumor clusters in hepatocellular carcinoma: a multi-center study.
Journal: Cancer imaging : the official publication of the International Cancer Imaging Society
Published: January 14, 2025
The causal relationship between eosinophil counts and hepatocellular carcinoma in East Asians: evidence from a Mendelian randomization study.
Journal: Discover oncology
Published: October 24, 2024
Advancing microvascular invasion diagnosis: a multi-center investigation of novel MRI-based models for precise detection and classification in early-stage small hepatocellular carcinoma (≤ 3 cm).
Journal: Abdominal radiology (New York)
Published: April 29, 2024
Optimizing predictions: improved performance of preoperative gadobenate-enhanced MRI hepatobiliary phase features in predicting vessels encapsulating tumor clusters in hepatocellular carcinoma-a multicenter study.
Journal: Abdominal radiology (New York)
Published: January 11, 2024
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Last Updated: 09/26/2026