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Yinyan Wang

Showing results (71-80 of 153) with videos related to

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Journal of Neuro-Oncology|May 19, 2015
Age-associated brain regions in gliomas: a volumetric analysisYinyan Wang, Shuai Liu, Xing Fan, et al.
Neuro-Oncology|September 28, 2015
Radiological features combined with IDH1 status for predicting the survival outcome of glioblastoma patientsKai Wang, Yinyan Wang, Xing Fan, et al.
Frontiers in Oncology|March 7, 2022
Decreasing Shortest Path Length of the Sensorimotor Network Induces Frontal Glioma-Related EpilepsyShengyu Fang, Lianwang Li, Shimeng Weng, et al.
CNS Neuroscience & Therapeutics|November 13, 2024
Postoperative Nodal Efficiency of the Lesional-Hemispheric Hand Motor Area Increasing Potentially Facilitated Motor Recovery for SMA SyndromeShimeng Weng, Zhaoting Meng, Lianwang Li, et al.
Journal of the American Chemical Society|January 9, 2013
Spiroketal formation and modification in avermectin biosynthesis involves a dual activity of AveCPeng Sun, Qunfei Zhao, Futao Yu, et al.
Frontiers in Oncology|April 2, 2020
Predicting the Type of Tumor-Related Epilepsy in Patients With Low-Grade Gliomas: A Radiomics StudyYinyan Wang, Wei Wei, Zhenyu Liu, et al.
Journal of Neuro-Oncology|July 18, 2014
Anatomical specificity of O6-methylguanine DNA methyltransferase protein expression in glioblastomasYinyan Wang, Xing Fan, Chuanbao Zhang, et al.
European Radiology|July 30, 2017
MRI features can predict EGFR expression in lower grade gliomas: A voxel-based radiomic analysisYiming Li, Xing Liu, Kaibin Xu, et al.
Journal of Neuro-Oncology|September 14, 2017
Radiomic features predict Ki-67 expression level and survival in lower grade gliomasYiming Li, Zenghui Qian, Kaibin Xu, et al.
Neuroimage. Clinical|March 13, 2018
MRI features predict p53 status in lower-grade gliomas via a machine-learning approachYiming Li, Zenghui Qian, Kaibin Xu, et al.
Pageof 16

Showing results (71-80 of 153) with videos related to

Sort By:
Pageof 16
Journal of Neuro-Oncology|May 19, 2015
Age-associated brain regions in gliomas: a volumetric analysisYinyan Wang, Shuai Liu, Xing Fan, et al.
Neuro-Oncology|September 28, 2015
Radiological features combined with IDH1 status for predicting the survival outcome of glioblastoma patientsKai Wang, Yinyan Wang, Xing Fan, et al.
Frontiers in Oncology|March 7, 2022
Decreasing Shortest Path Length of the Sensorimotor Network Induces Frontal Glioma-Related EpilepsyShengyu Fang, Lianwang Li, Shimeng Weng, et al.
CNS Neuroscience & Therapeutics|November 13, 2024
Postoperative Nodal Efficiency of the Lesional-Hemispheric Hand Motor Area Increasing Potentially Facilitated Motor Recovery for SMA SyndromeShimeng Weng, Zhaoting Meng, Lianwang Li, et al.
Journal of the American Chemical Society|January 9, 2013
Spiroketal formation and modification in avermectin biosynthesis involves a dual activity of AveCPeng Sun, Qunfei Zhao, Futao Yu, et al.
Frontiers in Oncology|April 2, 2020
Predicting the Type of Tumor-Related Epilepsy in Patients With Low-Grade Gliomas: A Radiomics StudyYinyan Wang, Wei Wei, Zhenyu Liu, et al.
Journal of Neuro-Oncology|July 18, 2014
Anatomical specificity of O6-methylguanine DNA methyltransferase protein expression in glioblastomasYinyan Wang, Xing Fan, Chuanbao Zhang, et al.
European Radiology|July 30, 2017
MRI features can predict EGFR expression in lower grade gliomas: A voxel-based radiomic analysisYiming Li, Xing Liu, Kaibin Xu, et al.
Journal of Neuro-Oncology|September 14, 2017
Radiomic features predict Ki-67 expression level and survival in lower grade gliomasYiming Li, Zenghui Qian, Kaibin Xu, et al.
Neuroimage. Clinical|March 13, 2018
MRI features predict p53 status in lower-grade gliomas via a machine-learning approachYiming Li, Zenghui Qian, Kaibin Xu, et al.
Pageof 16