Mei-Ling Bao

发表

A radiomics machine learning-based redefining score robustly identifies clinically significant prostate cancer in equivocal PI-RADS score 3 lesions

Ying Hou, Jing Zhang, Yu-Dong Zhang, 2020, Abdominal Radiology.

Acute kidney damage induced by low‐ and iso‐osmolar contrast media in rats: Comparison study with physiologic MRI and histologic‐gene examination

Yu-Dong Zhang, Xisheng Liu, Mei-Ling Bao, 2017, Journal of magnetic resonance imaging : JMRI.

A machine learning‐assisted decision‐support model to better identify patients with prostate cancer requiring an extended pelvic lymph node dissection

Ying Hou, Jing Zhang, Yu-Dong Zhang, 2019, BJU International.

Longitudinal Multiparametric MRI Assessment of Irradiated Salivary Gland in a Rat Model: Correlated With Histological Findings

Mei-Ling Bao, Run-Hao Jiang, Xiao-Quan Xu, 2021, Journal of magnetic resonance imaging : JMRI.

A clinical available decision support scheme for optimizing prostate biopsy based on mpMRI

Ying Hou, Jing Zhang, Yu-Dong Zhang, 2022, Prostate Cancer and Prostatic Diseases.

Using support vector machine analysis to assess PartinMR: A new prediction model for organ‐confined prostate cancer

Jing Zhang, Yu-Dong Zhang, Mei-Ling Bao, 2018, Journal of magnetic resonance imaging : JMRI.

Performance of Artificial Intelligence‐Aided Diagnosis System for Clinically Significant Prostate Cancer with MRI: A Diagnostic Comparison Study

Ying Hou, Jing Zhang, Yu-Dong Zhang, 2022, Journal of magnetic resonance imaging : JMRI.

Construction of a Preoperative Radiologic-Risk Signature for Predicting the Pathologic Status of Prostate Cancer at Radical Prostatectomy.

Jing Zhang, Yu-Dong Zhang, Xu Yan, 2018, AJR. American journal of roentgenology.

New RESOLVE-Based Diffusional Kurtosis Imaging in MRI-Visible Prostate Cancer: Effect of Reduced b Value on Image Quality and Diagnostic Effectiveness.

Yu-Dong Zhang, Xisheng Liu, Xu Yan, 2016, AJR. American journal of roentgenology.

Machine learning-based analysis of MR radiomics can help to improve the diagnostic performance of PI-RADS v2 in clinically relevant prostate cancer

Jing Wang, Jing Zhang, Yu-Dong Zhang, 2017, European Radiology.

Diffusion Kurtosis Imaging Helps to Predict Upgrading in Biopsy-Proven Prostate Cancer With a Gleason Score of 6.

Yu-Dong Zhang, Xisheng Liu, Mei-Ling Bao, 2017, AJR. American journal of roentgenology.

An imaging-based approach predicts clinical outcomes in prostate cancer through a novel support vector machine classification

Jing Wang, Yu-Dong Zhang, Yu-Dong Zhang, 2016, Oncotarget.

A machine learning‐assisted decision‐support model to better identify patients with prostate cancer requiring an extended pelvic lymph node dissection

Ying Hou, Jing Zhang, Yu-Dong Zhang, 2019, BJU international.

Integration of clinicopathologic identification and deep transferrable image feature representation improves predictions of lymph node metastasis in prostate cancer

Ying Hou, Jing Zhang, Yu-Dong Zhang, 2021, EBioMedicine.

Artificial intelligence is a promising prospect for the detection of prostate cancer extracapsular extension with mpMRI: a two-center comparative study

Ying Hou, Yu-Dong Zhang, Mei-Ling Bao, 2021, European Journal of Nuclear Medicine and Molecular Imaging.