Jing Zhang

发表

Towards Practical Visual Search Engine within Elasticsearch pdf

Guang Yang, Jing Zhang, Jun Zhao, 2018, eCOM@SIGIR.

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.

Radiomic analysis of contrast-enhanced CT predicts microvascular invasion and outcome in hepatocellular carcinoma.

Jing Zhang, Shu-Wen Sun, Yu-Dong Zhang, 2019, Journal of hepatology.

Comparison of Utility of Histogram Apparent Diffusion Coefficient and R2* for Differentiation of Low-Grade From High-Grade Clear Cell Renal Cell Carcinoma.

Jing Zhang, Yu-Dong Zhang, Xisheng Liu, 2015, AJR. American journal of roentgenology.

Readout-segmented echo-planar imaging in diffusion-weighted imaging of the kidney: comparison with single-shot echo-planar imaging in image quality

Jing Zhang, Yu-Dong Zhang, Xisheng Liu, 2015, Abdominal Radiology.

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.

Feasibility study of high-resolution DCE-MRI for glomerular filtration rate (GFR) measurement in a routine clinical modal.

Jing Zhang, Yu-Dong Zhang, Xisheng Liu, 2015, Magnetic resonance imaging.

Utilization of radiomics to predict long-term outcome of magnetic resonance–guided focused ultrasound ablation therapy in adenomyosis

Jing Zhang, M. Prince, An Chen, 2020, European Radiology.

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.

Optimized MRI Assessment for Clinically Significant Prostate Cancer: A STARD‐Compliant Two‐Center Study

Ying Hou, Jing Zhang, Yu-Dong Zhang, 2020, Journal of magnetic resonance imaging : JMRI.

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.

Brain Metabolite Alterations in Children with Primary Nocturnal Enuresis Using Proton Magnetic Resonance Spectroscopy

Jing Zhang, Xiaoxia Du, Mengxing Wang, 2014, Neurochemical Research.

MRI Texture Analysis for Preoperative Prediction of Lymph Node Metastasis in Patients with Nonsquamous Cell Cervical Carcinoma.

Jing Zhang, Junming Jian, Yan Wei, 2022, Academic radiology.

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.

The Histogram Analysis of Diffusion-Weighted Intravoxel Incoherent Motion (IVIM) Imaging for Differentiating the Gleason grade of Prostate Cancer

Jing Zhang, Yu-Dong Zhang, Xisheng Liu, 2015, European Radiology.

Radiologic-Radiomic Machine Learning Models for Differentiation of Benign and Malignant Solid Renal Masses: Comparison With Expert-Level Radiologists.

Jing Zhang, Xun Xu, F. Zhu, 2019, AJR. American journal of roentgenology.

A clinical-radiomics nomogram for the preoperative prediction of lymph node metastasis in colorectal cancer

Jing Zhang, G. Cai, T. Tong, 2020, Journal of Translational Medicine.

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.

FeAture Explorer (FAE): A tool for developing and comparing radiomics models

Xu Yan, Ying Hou, Yida Wang, 2020, PloS one.

Brain Metabolite Alterations in Children with Primary Nocturnal Enuresis Using Proton Magnetic Resonance Spectroscopy

Jing Zhang, Xiaoxia Du, Mengxing Wang, 2014, Neurochemical Research.

Machine Learning–Based Computational Models Derived From Large-Scale Radiographic-Radiomic Images Can Help Predict Adverse Histopathological Status of Gastric Cancer

Chang Liu, Guang Yang, Qiong Li, 2019, Clinical and translational gastroenterology.

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.

Prognostic aspects of lymphovascular invasion in localized gastric cancer: new insights into the radiomics and deep transfer learning from contrast-enhanced CT imaging

Jing Zhang, Yu-Dong Zhang, Xisheng Liu, 2021, Abdominal Radiology.

Decoding the individual finger movements from single‐trial functional magnetic resonance imaging recordings of human brain activity

Guohua Shen, Jing Zhang, Mengxing Wang, 2014, The European journal of neuroscience.

Identification of ISUP grade of clear cell renal cell carcinoma by radiomics on multi-phase CT images

Jing Zhang, Li Zhou, Guang Yang, 2022, Chinese Journal of Academic Radiology.

RtNet: a deep hybrid neural networks for the identification of acute rejection and chronic allograft nephropathy after renal transplantation using multiparametric MRI.

Ying Hou, Jing Zhang, Yu-Dong Zhang, 2022, Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association.

A clinical-radiomics nomogram for the preoperative prediction of lymph node metastasis in colorectal cancer

Jing Zhang, G. Cai, T. Tong, 2020, Journal of Translational Medicine.

Whole‐tumor histogram analysis of monoexponential and advanced diffusion‐weighted imaging for sinonasal malignant tumors: Correlations with histopathologic features

Jing Zhang, Wenjiao Zeng, Jianfeng Luo, 2020, Journal of magnetic resonance imaging : JMRI.

Biopsy-free AI-aided precision MRI assessment in prediction of prostate cancer biochemical recurrence

Ying Hou, Jing Zhang, F. Zhu, 2023, British Journal of Cancer.

Role of Additional MRI-Based Morphologic Measurements on the Performance of VI-RADS for Muscle-Invasive Bladder Cancer.

Jing Zhang, F. Zhu, Xuelian Sun, 2024, Journal of magnetic resonance imaging : JMRI.

Readout-segmented echo-planar imaging in diffusion-weighted imaging of the kidney: comparison with single-shot echo-planar imaging in image quality

Bong Joo Kang, Byung Joo Song, D. Porter, 2014, Abdominal Radiology.