M. Yuan

发表

Deep Learning in CT Images: Automated Pulmonary Nodule Detection for Subsequent Management Using Convolutional Neural Network

D. Gao, Tong-fu Yu, Yu-Dong Zhang, 2020, Cancer management and research.

CMAR_A_239927 2979..2992

Tong-fu Yu, Yu-Dong Zhang, L. Qi, 2020 .

[Clinical Characteristics and Risk Factors Analysis for Visceral Pleural Invasion in  Mixed Ground-glass Nodular Lung Adenocarcinoma].

Chenghao Fu, M. Yuan, Yiheng Jiang, 2022, Zhongguo fei ai za zhi = Chinese journal of lung cancer.

A modified system for classifying the bilateral superior pulmonary veins using three-dimensional computed tomography bronchography and angiography images

Jun Wang, Liang Chen, Quan Zhu, 2021, Journal of thoracic disease.

Radiomic Analysis of Pulmonary Nodules for Distinguishing Malignancy From Benignancy: The Value of Using Iodine Maps From Dual-Energy Computed Tomography.

Tong-fu Yu, Wei Zhang, Hai Li, 2022, Journal of computer assisted tomography.

Retrospective Evaluation of Safety, Efficacy and Risk Factors for Pneumothorax in Simultaneous Localizations of Multiple Pulmonary Nodules Using Hook Wire System

Wei Zhang, Tong-fu Yu, Liang Chen, 2017, CardioVascular and Interventional Radiology.

Quantitative texture analysis based on dynamic contrast enhanced MRI for differential diagnosis between primary thymic lymphoma from thymic carcinoma

Tong-fu Yu, Wei Zhang, Feng-shou Wang, 2022, Scientific Reports.

A radiomics nomogram for invasiveness prediction in lung adenocarcinoma manifesting as part-solid nodules with solid components smaller than 6 mm

Yingli Sun, Quan Zhu, Guang Yang, 2022, Frontiers in Oncology.

BJRD14811 1..10

J. Liang, M. Yuan, J. Liang, 2015 .

Using the CT features to differentiate invasive pulmonary adenocarcinoma from pre-invasive lesion appearing as pure or mixed ground-glass nodules.

J. Liang, M. Yuan, W. Zhang, 2015, The British journal of radiology.

Radiomics Approach to Prediction of Occult Mediastinal Lymph Node Metastasis of Lung Adenocarcinoma.

Tong-fu Yu, Yu-Dong Zhang, Hai Li, 2018, AJR. American journal of roentgenology.

Differentiation of focal organising pneumonia and peripheral adenocarcinoma in solid lung lesions using thin-section CT-based radiomics.

Y. Zhong, T. Zhang, M. Yuan, 2019, Clinical radiology.

Comparison of a radiomic biomarker with volumetric analysis for decoding tumour phenotypes of lung adenocarcinoma with different disease-specific survival

Tong-fu Yu, Yu-Dong Zhang, Hai Li, 2017, European Radiology.

Multiparametric Magnetic Resonance Imaging for Assessing Thymic Epithelial Tumors: Correlation With Pathological Subtypes and Clinical Stages

Tong-fu Yu, Wei Zhang, L. Xue, 2022, Journal of magnetic resonance imaging : JMRI.

Development and validation of a clinically applicable deep learning strategy (HONORS) for pulmonary nodule classification at CT: A retrospective multicentre study.

Yizhou Wang, Qiang Xu, Xiuli Li, 2021, Lung cancer.

Comparison and fusion prediction model for lung adenocarcinoma with micropapillary and solid pattern using clinicoradiographic, radiomics and deep learning features

Tong-fu Yu, Guang Yang, Yinqiao Yi, 2023, Scientific reports.

High-resolution CT image analysis based on 3D convolutional neural network can enhance the classification performance of radiologists in classifying pulmonary non-solid nodules.

Tong-fu Yu, Yingli Sun, Yida Wang, 2021, European journal of radiology.

Comparison of intravoxel incoherent motion diffusion‐weighted MR imaging with dynamic contrast‐enhanced MRI for differentiating lung cancer from benign solitary pulmonary lesions

Tong-fu Yu, Yu-Dong Zhang, Hai-bin Shi, 2016, Journal of magnetic resonance imaging : JMRI.

Volumetric analysis of intravoxel incoherent motion imaging for assessment of solitary pulmonary lesions

Tong-fu Yu, Yu-Dong Zhang, Jiang‐fen Wu, 2017, Acta radiologica.

Histogram analysis combined with morphological characteristics to discriminate adenocarcinoma in situ or minimally invasive adenocarcinoma from invasive adenocarcinoma appearing as pure ground-glass nodule.

Tong-fu Yu, Jiang‐fen Wu, Y. Zhong, 2019, European journal of radiology.

Lung adenocarcinoma: Assessment of epidermal growth factor receptor mutation status based on extended models of diffusion‐weighted image

Tong-fu Yu, Yu-Dong Zhang, Xiao-Quan Xu, 2017, Journal of magnetic resonance imaging : JMRI.