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2. Pre-operative Overall Survival Time Prediction for Glioblastoma Patients Using Deep Learning on Both Imaging Phenotype and Genotype

6. Discrete class I molecules on brain endothelium differentially regulate neuropathology in experimental cerebral malaria.

7. Pediatric low-grade gliomas can be molecularly stratified for risk

12. A novel image signature-based radiomics method to achieve precise diagnosis and prognostic stratification of gliomas

17. A novel image signature-based radiomics method to achieve precise diagnosis and prognostic stratification of gliomas

18. High-Field iMRI Guided Resection in Cerebral Glioma Surgery: A Prospective, Randomized, Parallel Controlled Trial

20. Artificial intelligence neuropathologist for glioma classification using deep learning on hematoxylin and eosin stained slide images and molecular markers

23. IDH mutant lower grade (WHO Grades II/III) astrocytomas can be stratified for risk by CDKN2A, CDK4 and PDGFRA copy number alterations

28. IDH mutant lower grade (WHO Grades II/III) astrocytomas can be stratified for risk by CDKN2A, CDK4 and PDGFRA copy number alterations.

29. Multi-Label Nonlinear Matrix Completion With Transductive Multi-Task Feature Selection for Joint MGMT and IDH1 Status Prediction of Patient With High-Grade Gliomas

31. Not all 1p/19q non-codeleted oligodendroglial tumors are astrocytic

33. Pediatric low-grade gliomas can be molecularly stratified for risk.

35. Establishment and maintenance of a standardized glioma tissue bank: Huashan experience

36. The Relationship Between IDH1 Mutation Status and Metabolic Imaging in Nonenhancing Supratentorial Diffuse Gliomas: A 11 C-MET PET Study.

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