Jiawen Yang
Taizhou, 317000, China
Last Updated: 09/26/2026
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Found 8 publications
Radiomics Model of Dynamic Contrast-Enhanced MRI for Evaluating Vessels Encapsulating Tumor Clusters and Microvascular Invasion in Hepatocellular Carcinoma.
Journal: Academic radiology
Published: April 16, 2024
A deep learning model based on MRI for prediction of vessels encapsulating tumour clusters and prognosis in hepatocellular carcinoma.
Journal: Abdominal radiology (New York)
Published: September 19, 2023
Non-contrast CT radiomics and machine learning for outcomes prediction of patients with acute ischemic stroke receiving conventional treatment.
Journal: European journal of radiology
Published: May 02, 2023
Deep Learning Radiomics Model of Dynamic Contrast-Enhanced MRI for Evaluating Vessels Encapsulating Tumor Clusters and Prognosis in Hepatocellular Carcinoma.
Journal: Journal of magnetic resonance imaging : JMRI
Published: January 17, 2023
Preoperative MRI features for characterization of vessels encapsulating tumor clusters and microvascular invasion in hepatocellular carcinoma.
Journal: Abdominal radiology (New York)
Published: September 26, 2022
Diagnostic value of the relative enhancement ratio of the portal venous phase to unenhanced CT in the identification of lipid-poor adrenal tumors.
Journal: Abdominal radiology (New York)
Published: March 27, 2022
Development and Validation of a Clinical-Image Model for Quantitatively Distinguishing Uncertain Lipid-Poor Adrenal Adenomas From Nonadenomas.
Journal: Frontiers in oncology
Published: March 23, 2022
Can Radiomics Provide Additional Diagnostic Value for Identifying Adrenal Lipid-Poor Adenomas From Non-Adenomas on Unenhanced CT?
Journal: Frontiers in oncology
Published: March 03, 2022
Showing 1-8 of 8
Last Updated: 09/26/2026