Publications by authors named "Wenting Tu"

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Gastric Neoplasm Detection at Contrast-enhanced CT with Deep Learning.
Xin Chen, Yingda Xia, Lisha Yao, Suyun Li, Yanting Liang, Wenting Tu

Radiol Artif Intell· January 2026

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Effect of respiratory phase on three-dimensional quantitative parameters of pulmonary subsolid nodules in low-dose computed tomography screening for lung cancer.
Hanxiao Zhang, Wenting Tu, Zhengwei Zhang, Xiuxiu Zhou, Li Fan

J Thorac Dis· March 2025

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Prediction of visceral pleural invasion of clinical stage IA lung adenocarcinoma based on computed tomography features.
Deng Lyu, Yun Wang, Wenting Tu, Su Hu, Yanqing Ma

Transl Cancer Res· March 2025

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A clinical-radiomics nomogram based on automated segmentation of chest CT to discriminate PRISm and COPD patients.
TaoHu Zhou, Yu Guan, XiaoQing Lin, XiuXiu Zhou, Liang Mao, WenTing Tu

Eur J Radiol Open· December 2024

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A CT-Based Lung Radiomics Nomogram for Classifying the Severity of Chronic Obstructive Pulmonary Disease.
Taohu Zhou, Xiuxiu Zhou, Jiong Ni, Yu Guan, Xin'ang Jiang, Wenting Tu

Int J Chron Obstruct Pulmon Dis· December 2024

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Lung field-based severity score (LFSS): a feasible tool to identify COVID-19 patients at high risk of progressing to critical disease.
Xin'ang Jiang, Jun Hu, Qinling Jiang, Taohu Zhou, Fei Yao, Wenting Tu

J Thorac Dis· September 2024

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Intratumoral and peritumoral radiomics combined with computed tomography features for predicting the invasiveness of lung adenocarcinoma presenting as a subpleural ground-glass nodule with a consolidation-to-tumor ratio ≤50.
Yun Wang, Deng Lyu, Dan Yu, Su Hu, Yanqing Ma, Wenting Tu

J Thorac Dis· August 2024

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Aerodynamic Simulation of Small Airway Resistance: A New Imaging Biomarker for Chronic Obstructive Pulmonary Disease.
Di Zhang, Yu Guan, Xiuxiu Zhou, Mingzi Zhang, Yu Pu, Wenting Tu

Int J Chron Obstruct Pulmon Dis· June 2024

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Nomogram using intratumoral and peritumoral radiomics for the preoperative prediction of visceral pleural invasion in clinical stage IA lung adenocarcinoma.
Yun Wang, Deng Lyu, Su Hu, Yanqing Ma, Shaofeng Duan, Wenting Tu

J Cardiothorac Surg· May 2024

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CT-Based Intratumoral and Peritumoral Radiomics Nomograms for the Preoperative Prediction of Spread Through Air Spaces in Clinical Stage IA Non-small Cell Lung Cancer.
Yun Wang, Deng Lyu, Lei Hu, Junhong Wu, Shaofeng Duan, Wenting Tu

J Imaging Inform Med· April 2024

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Preoperative nomogram for predicting spread through air spaces in clinical-stage IA non-small cell lung cancer using F-fluorodeoxyglucose positron emission tomography/computed tomography.
Yun Wang, Deng Lyu, Chao Cheng, Taohu Zhou, Wenting Tu

J Cancer Res Clin Oncol· April 2024

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CT whole lung radiomic nomogram: a potential biomarker for lung function evaluation and identification of COPD.
Tao-Hu Zhou, Xiu-Xiu Zhou, Jiong Ni, Yan-Qing Ma, Fang-Yi Xu, Wen-Ting Tu

Mil Med Res· February 2024

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CT-Based Radiomic Nomogram for the Prediction of Chronic Obstructive Pulmonary Disease in Patients with Lung cancer.
TaoHu Zhou, WenTing Tu, Peng Dong, ShaoFeng Duan, XiuXiu Zhou

Acad Radiol· December 2023

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Nomogram based on clinical characteristics and radiological features for the preoperative prediction of spread through air spaces in patients with clinical stage IA non-small cell lung cancer: a multicenter study.
Yun Wang, Deng Lyu, Di Zhang, Lei Hu, Junhong Wu, Wenting Tu

Diagn Interv Radiol· November 2023

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Radiomics-based Machine Learning Methods for Volume Doubling Time Prediction of Pulmonary Ground-glass Nodules With Baseline Chest Computed Tomography.
Wenjun Huang, Hanxiao Zhang, Yanming Ge, Shaofeng Duan, Yanqing Ma, Wenting Tu

J Thorac Imaging· September 2023

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Ultra-low-dose spectral-detector computed tomography for the accurate quantification of pulmonary nodules: an anthropomorphic chest phantom study.
Xiuxiu Zhou, Hanxiao Zhang, Xiaoxing Jin, Xiaohui Zhang, Xiaomei Lu, Wenting Tu

Diagn Interv Radiol· September 2023

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Baseline whole-lung CT features deriving from deep learning and radiomics: prediction of benign and malignant pulmonary ground-glass nodules.
Wenjun Huang, Heng Deng, Zhaobin Li, Zhanda Xiong, Taohu Zhou, Wenting Tu

Front Oncol· August 2023

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Nomograms Using CT Morphological Features and Clinical Characteristics to Identify COPD in Patients with Lung Cancer: A Multicenter Study.
Wenting Tu, Taohu Zhou, Xiuxiu Zhou, Yanqing Ma, Shaofeng Duan

Int J Chron Obstruct Pulmon Dis· June 2023

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Multivariate analysis based on the maximum standard unit value of F-fluorodeoxyglucose positron emission tomography/computed tomography and computed tomography features for preoperative predicting of visceral pleural invasion in patients with subpleural clinical stage IA peripheral lung adenocarcinoma.
Yun Wang, Deng Lyu, Taohu Zhou, Wenting Tu, Li Fan

Diagn Interv Radiol· March 2023

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Thoracic Imaging in China: Yesterday, Today, and Tomorrow.
Li Fan, Wenjie Yang, Wenting Tu, Xiuxiu Zhou, Qin Zou

J Thorac Imaging· November 2022

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Re-Defining High Risk COPD with Parameter Response Mapping Based on Machine Learning Models.
Yu Pu, Xiuxiu Zhou, Di Zhang, Yu Guan, Yi Xia, Wenting Tu

Int J Chron Obstruct Pulmon Dis· October 2022

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Development, Validation, and Comparison of Image-Based, Clinical Feature-Based and Fusion Artificial Intelligence Diagnostic Models in Differentiating Benign and Malignant Pulmonary Ground-Glass Nodules.
Xiang Wang, Man Gao, Jicai Xie, Yanfang Deng, Wenting Tu

Front Oncol· June 2022

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Can peritumoral regions increase the efficiency of machine-learning prediction of pathological invasiveness in lung adenocarcinoma manifesting as ground-glass nodules?
Xiang Wang, Kaili Chen, Wei Wang, Qingchu Li, Kai Liu, Wenting Tu

J Thorac Dis· March 2021

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Multitask Learning and Reinforcement Learning for Personalized Dialog Generation: An Empirical Study.
Min Yang, Weiyi Huang, Wenting Tu, Qiang Qu, Ying Shen

IEEE Trans Neural Netw Learn Syst· January 2021

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Evaluating a Fully Automated Pulmonary Nodule Detection Approach and Its Impact on Radiologist Performance.
Kai Liu, Qiong Li, Jiechao Ma, Zijian Zhou, Mengmeng Sun, Wenting Tu

Radiol Artif Intell· May 2019

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