Ying-Zhi Sun

发表

Radiomics strategy for glioma grading using texture features from multiparametric MRI

Qiang Tian, Lin-Feng Yan, Xi Zhang, 2018, Journal of magnetic resonance imaging : JMRI.

Structural and advanced imaging in predicting MGMT promoter methylation of primary glioblastoma: a region of interest based analysis

Qiang Tian, Lin-Feng Yan, Xin Zhang, 2018, BMC Cancer.

Perfusion, Diffusion, Or Brain Tumor Barrier Integrity: Which Represents The Glioma Features Best?

Qiang Tian, Lin-Feng Yan, Xin Zhang, 2019, Cancer management and research.

Comparison between ultra-high and conventional mono b-value DWI for preoperative glioma grading

Qiang Tian, Lin-Feng Yan, Yu-Chuan Hu, 2016, Oncotarget.

The Classification Between Prostate Transitional Zone Cancer and Hyperplasia Using Deep Transfer Learning from Disease-Related Images: A Retrospective Study

Lin-Feng Yan, Ying-Zhi Sun, Yang Yang, 2020 .

Better efficacy in differentiating WHO grade II from III oligodendrogliomas with machine-learning than radiologist’s reading from conventional T1 contrast-enhanced and fluid attenuated inversion recovery images

Xiuli Li, Qiang Tian, Lin-Feng Yan, 2019, BMC Neurology.

Comparable efficacies in differentiating WHO grade II from III oligodendrogliomas with machine-learning and radiologist’s reading

Qiang Tian, Lin-Feng Yan, Yu-Chuan Hu, 2019 .

Differentiation of Pseudoprogression from True Progressionin Glioblastoma Patients after Standard Treatment: A Machine Learning Strategy Combinedwith Radiomics Features from T1-weighted Contrast-enhanced Imaging

Lin-Feng Yan, Guang-Bin Cui, Ying-Zhi Sun, 2021, BMC Medical Imaging.

Amide Proton Transfer Imaging in Predicting Isocitrate Dehydrogenase 1 Mutation Status of Grade II/III Gliomas Based on Support Vector Machine

Qiang Tian, Lin-Feng Yan, Yu Han, 2020, Frontiers in Neuroscience.

Combination of IVIM-DWI and 3D-ASL for differentiating true progression from pseudoprogression of Glioblastoma multiforme after concurrent chemoradiotherapy: study protocol of a prospective diagnostic trial

Wen Wang, Qian Sun, Ying Yu, 2017, BMC Medical Imaging.

Classification of Prostate Transitional Zone Cancer and Hyperplasia Using Deep Transfer Learning From Disease-Related Images

G. Varrassi, A. Kaye, O. Viswanath, 2021, Cureus.

Structural and advanced imaging in predicting MGMT promoter methylation of primary glioblastoma: a region of interest based analysis

Qiang Tian, Lin-Feng Yan, Xin Zhang, 2018, BMC Cancer.

Optimizing a machine learning based glioma grading system using multi-parametric MRI histogram and texture features

Yang Yang, Yu Han, Wen Wang, 2017, Oncotarget.

Optimizing Texture Retrieving Model for Multimodal MR Image‐Based Support Vector Machine for Classifying Glioma

Yang Yang, Yu Han, Wen Wang, 2019, Journal of magnetic resonance imaging : JMRI.

Automatic Parotid Gland Segmentation in MVCT Using Deep Convolutional Neural Networks

Ying-Zhi Sun, Hongen Liao, Jian Zhu, 2021, ACM Trans. Comput. Heal..