Showing results (21-30 of 52) with videos related to
Sort By:
Pageof 6
CNS Neuroscience & Therapeutics|March 26, 2022
LRRFIP1, an epigenetically regulated gene, is a prognostic biomarker and predicts malignant phenotypes of gliomaWenping Ma, Zhaoshi Bao, Zenghui Qian, et al.Neurosurgical Review|August 9, 2020
Clinical characteristics and surgical outcomes of ependymomas in the upper cervical spinal cord: a single-center experience of 155 consecutive patientsXiaobin Fei, Wenqing Jia, Heng Gao, 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.Frontiers in Oncology|September 7, 2021
Machine Learning-Based Analysis of Magnetic Resonance Radiomics for the Classification of Gliosarcoma and GlioblastomaZenghui Qian, Lingling Zhang, Jie Hu, et al.Plos One|November 6, 2015
Aneurysm Characteristics Associated with the Rupture Risk of Intracranial Aneurysms: A Self-Controlled StudyHuibin Kang, Wenjun Ji, Zenghui Qian, et al.World Neurosurgery|May 29, 2018
Identification of a DNA Repair-Related Multigene Signature as a Novel Prognostic Predictor of GlioblastomaShuai Jin, Zenghui Qian, Tingyu Liang, et al.Frontiers in Oncology|November 5, 2021
Corrigendum: Machine Learning-Based Analysis of Magnetic Resonance Radiomics for the Classification of Gliosarcoma and GlioblastomaZenghui Qian, Lingling Zhang, Jie Hu, et al.Journal of Neuro-Oncology|July 1, 2025
Anatomical distribution and prognostic heterogeneity in glioma: unique clinical features of occipital glioblastomaChongshun Zhao, Bo Liang, Xiaopeng Li, et al.Pageof 6