Li Wen

Xinqiao, 400037, China

Last Updated: 09/26/2026

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Found 33 publications

Clinical and CT Features of HIV-Negative and HIV-Positive Patients with Abdominal Tuberculous Lymphadenopathy.

Clinical and CT Features of HIV-Negative and HIV-Positive Patients with Abdominal Tuberculous Lymphadenopathy.

Journal: Diagnostics (Basel, Switzerland)

Published: September 20, 2025

The correlation between brain structure, function, and cognitive changes in patients with active-stage ulcerative colitis.

The correlation between brain structure, function, and cognitive changes in patients with active-stage ulcerative colitis.

Journal: Frontiers in neuroscience

Published: August 15, 2025

Development of predictive models to identify the intracranial aneurysm responsible for subarachnoid hemorrhage in patients with multiple saccular aneurysms.

Development of predictive models to identify the intracranial aneurysm responsible for subarachnoid hemorrhage in patients with multiple saccular aneurysms.

Journal: European journal of radiology

Published: July 16, 2025

Association of wall enhancement on high-resolution magnetic resonance imaging with morphology and hemodynamics in unruptured intracranial aneurysms.

Association of wall enhancement on high-resolution magnetic resonance imaging with morphology and hemodynamics in unruptured intracranial aneurysms.

Journal: Neurological research

Published: May 02, 2025

Clinical and CT characteristics of abdominal tuberculous lymphadenopathy: a comparative analysis of hematogenous and non-hematogenous dissemination.

Clinical and CT characteristics of abdominal tuberculous lymphadenopathy: a comparative analysis of hematogenous and non-hematogenous dissemination.

Journal: BMC infectious diseases

Published: January 23, 2025

Rupture risk of intracranial aneurysms: Comparison between small ruptured intracranial aneurysms and large unruptured intracranial aneurysms.

Rupture risk of intracranial aneurysms: Comparison between small ruptured intracranial aneurysms and large unruptured intracranial aneurysms.

Journal: Medicine

Published: July 12, 2024

Development of a nomogram-based model incorporating radiomic features from follow-up longitudinal lung CT images to distinguish invasive adenocarcinoma from benign lesions: a retrospective study.

Development of a nomogram-based model incorporating radiomic features from follow-up longitudinal lung CT images to distinguish invasive adenocarcinoma from benign lesions: a retrospective study.

Journal: BMC pulmonary medicine

Published: July 05, 2024

Assessment of the stability of intracranial aneurysms using a deep learning model based on computed tomography angiography.

Assessment of the stability of intracranial aneurysms using a deep learning model based on computed tomography angiography.

Journal: La Radiologia medica

Published: June 11, 2024

A simple and effective machine learning model for predicting the stability of intracranial aneurysms using CT angiography.

A simple and effective machine learning model for predicting the stability of intracranial aneurysms using CT angiography.

Journal: Frontiers in neurology

Published: March 09, 2024

Compare deep learning model and conventional logistic regression model for the identification of unstable saccular intracranial aneurysms in computed tomography angiography.

Compare deep learning model and conventional logistic regression model for the identification of unstable saccular intracranial aneurysms in computed tomography angiography.

Journal: Quantitative imaging in medicine and surgery

Published: December 05, 2023

Multiple Machine-Learning Fusion Model Based on Gd-EOB-DTPA-Enhanced MRI and Aminotransferase-to-Platelet Ratio and Gamma-Glutamyl Transferase-to-Platelet Ratio to Predict Microvascular Invasion in Solitary Hepatocellular Carcinoma: A Multicenter Study.

Multiple Machine-Learning Fusion Model Based on Gd-EOB-DTPA-Enhanced MRI and Aminotransferase-to-Platelet Ratio and Gamma-Glutamyl Transferase-to-Platelet Ratio to Predict Microvascular Invasion in Solitary Hepatocellular Carcinoma: A Multicenter Study.

Journal: Journal of hepatocellular carcinoma

Published: December 05, 2023

A Dynamic Online Nomogram Based on Gd-EOB-DTPA-Enhanced MRI and Inflammatory Biomarkers for Preoperative Prediction of Pathological Grade and Stratification in Solitary Hepatocellular Carcinoma: A Multicenter Study.

A Dynamic Online Nomogram Based on Gd-EOB-DTPA-Enhanced MRI and Inflammatory Biomarkers for Preoperative Prediction of Pathological Grade and Stratification in Solitary Hepatocellular Carcinoma: A Multicenter Study.

Journal: Academic radiology

Published: November 19, 2023

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Last Updated: 09/26/2026