Shu Li

Nanjing North Street 155
Shenyang, 110001, China

Last Updated: 09/26/2026

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Found 9 publications

Predicting Depression, Anxiety, and Their Comorbidity among Patients with Breast Cancer in China Using Machine Learning: A Multisite Cross-Sectional Study.

Predicting Depression, Anxiety, and Their Comorbidity among Patients with Breast Cancer in China Using Machine Learning: A Multisite Cross-Sectional Study.

Journal: Depression and anxiety

Published: November 07, 2023

Contrast-free MRI quantitative parameters for early prediction of pathological response to neoadjuvant chemotherapy in breast cancer.

Contrast-free MRI quantitative parameters for early prediction of pathological response to neoadjuvant chemotherapy in breast cancer.

Journal: European radiology

Published: October 18, 2021

Improved discrimination of molecular subtypes in invasive breast cancer: Comparison of multiple quantitative parameters from breast MRI.

Improved discrimination of molecular subtypes in invasive breast cancer: Comparison of multiple quantitative parameters from breast MRI.

Journal: Magnetic resonance imaging

Published: August 16, 2020

Chest lesion CT radiological features and quantitative analysis in RT-PCR turned negative and clinical symptoms resolved COVID-19 patients.

Chest lesion CT radiological features and quantitative analysis in RT-PCR turned negative and clinical symptoms resolved COVID-19 patients.

Journal: Quantitative imaging in medicine and surgery

Published: June 19, 2020

A model based on CT radiomic features for predicting RT-PCR becoming negative in coronavirus disease 2019 (COVID-19) patients.

A model based on CT radiomic features for predicting RT-PCR becoming negative in coronavirus disease 2019 (COVID-19) patients.

Journal: BMC medical imaging

Published: June 15, 2020

Preoperatively Estimating the Malignant Potential of Mediastinal Lymph Nodes: A Pilot Study Toward Establishing a Robust Radiomics Model Based on Contrast-Enhanced CT Imaging.

Preoperatively Estimating the Malignant Potential of Mediastinal Lymph Nodes: A Pilot Study Toward Establishing a Robust Radiomics Model Based on Contrast-Enhanced CT Imaging.

Journal: Frontiers in oncology

Published: May 02, 2020

Diffusion-weighted imaging or dynamic contrast-enhanced curve: a retrospective analysis of contrast-enhanced magnetic resonance imaging-based differential diagnoses of benign and malignant breast lesions.

Diffusion-weighted imaging or dynamic contrast-enhanced curve: a retrospective analysis of contrast-enhanced magnetic resonance imaging-based differential diagnoses of benign and malignant breast lesions.

Journal: European radiology

Published: December 17, 2019

A radiomic nomogram based on an apparent diffusion coefficient map for differential diagnosis of suspicious breast findings.

A radiomic nomogram based on an apparent diffusion coefficient map for differential diagnosis of suspicious breast findings.

Journal: Chinese journal of cancer research = Chung-kuo yen cheng yen chiu

Published: September 14, 2018

Lung nodules assessment in ultra-low-dose CT with iterative reconstruction compared to conventional dose CT.

Lung nodules assessment in ultra-low-dose CT with iterative reconstruction compared to conventional dose CT.

Journal: Quantitative imaging in medicine and surgery

Published: July 28, 2018

Showing 1-9 of 9

Last Updated: 09/26/2026