Hong-bing Luo

发表

Diagnostic performance of T2-weighted imaging and intravoxel incoherent motion diffusion-weighted MRI for predicting metastatic axillary lymph nodes in T1 and T2 stage breast cancer

Peng Zhou, Jing Ren, Xiaoyu Chen, 2021, Acta radiologica.

Prognostic value of non-contrast myocardial T1 mapping in cardiovascular diseases: a systematic review and meta-analysis

Xueying Li, Peng Zhou, Meng-xi Yang, 2022, Heart Failure Reviews.

Intratumoral and peritumoral radiomics based on dynamic contrast-enhanced MRI for preoperative prediction of intraductal component in invasive breast cancer

Peng Zhou, Jieke Liu, Jing Ren, 2022, European Radiology.

Prognostic value of non-contrast myocardial T1 mapping in cardiovascular diseases: a systematic review and meta-analysis

Xueying Li, Peng Zhou, Meng-xi Yang, 2022, Heart Failure Reviews.

Screening baseline characteristics of early lung cancer on low-dose computed tomography with computer-aided detection in a Chinese population.

Peng Zhou, Xiaodong Wang, Jing Ren, 2019, Cancer epidemiology.

Development and Internal Validation of a Preoperative Prediction Model for Sentinel Lymph Node Status in Breast Cancer: Combining Radiomics Signature and Clinical Factors

Peng Zhou, Si-Yun Liu, Ruirui Meng, 2021, Frontiers in Oncology.

PET/CT and MRI for Identifying Axillary Lymph Node Metastases in Breast Cancer Patients: Systematic Review and Meta‐Analysis

Jianhui Zhang, Xin Zhang, Yuanyuan Liu, 2020, Journal of magnetic resonance imaging : JMRI.

Improvement of image quality of laryngeal squamous cell carcinoma using noise‐optimized virtual monoenergetic image and nonlinear blending image algorithms in dual‐energy computed tomography

Peng Zhou, Jieke Liu, Hong-bing Luo, 2021, Head & neck.

Accuracy of Pulmonary Nodule Volumetry Using Noise-Optimized Virtual Monoenergetic Image and Nonlinear Blending Image Algorithms in Dual-Energy Computed Tomography: A Phantom Study.

Jieke Liu, L. Qiao, Hong-bing Luo, 2020, Journal of computer assisted tomography.

Differentiation between Luminal A and B Molecular Subtypes of Breast Cancer Using Pharmacokinetic Quantitative Parameters with Histogram and Texture Features on Preoperative Dynamic Contrast-Enhanced Magnetic Resonance Imaging.

Mingying Du, Guo-hui Xu, Min Wang, 2020, Academic radiology.

Radiomic features of axillary lymph nodes based on pharmacokinetic modeling DCE-MRI allow preoperative diagnosis of their metastatic status in breast cancer

Guo-hui Xu, Chun-Hua Wang, Xin Zhang, 2021, PloS one.

Preoperative prediction of extensive intraductal component in invasive breast cancer based on intra- and peri-tumoral heterogeneity in high-resolution ultrafast DCE-MRI

Hong-bing Luo, Yongjie Li, Zhe Chen, 2024, Scientific reports.

Peritumoral edema enhances MRI-based deep learning radiomic model for axillary lymph node metastasis burden prediction in breast cancer

Hong-bing Luo, Zhe Chen, Peng Zhou, 2024, Scientific reports.