Li, Chao

Keyphrases

1. Apparent Diffusion Coefficient 8%
2. Brain Networks 17%
3. Brain Tumor 9%
4. Brain Tumor Patients 9%
5. Collaborative Learning 9%
6. Connectome 9%
7. Contrast Enhancement 26%
8. Convolutional Neural Network 17%
9. Deep Learning 13%
10. Deep Learning Model 8%
11. Diffusion Magnetic Resonance Imaging (dMRI) 13%
12. Diffusion Tensor Imaging 26%
13. Expectation Maximization 9%
14. Feature Representation 9%
15. Fluid-attenuated Inversion Recovery (FLAIR) 8%
16. Generative Adversarial Networks 9%
17. Glioblastoma 100%
18. Glioma 20%
19. Graph Neural Network 18%
20. Histogram Analysis 9%
21. Infiltration 17%
22. Intratumor 15%
23. Invasive Area 9%
24. Isocitrate Dehydrogenase 1 (IDH1) 9%
25. Isocitrate Dehydrogenase mutation 19%
26. Magnetic Resonance Imaging 9%
27. Microstructure 7%
28. Multiparametric MRI (mpMRI) 27%
29. Mutation Status 12%
30. Neural Network 12%
31. Neural Network Method 9%
32. Non-enhancing 8%
33. Overall Survival 14%
34. Patient Survival 8%
35. Perfusion 14%
36. Peritumoral 21%
37. Prognostic Value 14%
38. Progression-free Survival 12%
39. Radiomics 19%
40. Region of Interest 12%
41. Relative Cerebral Blood Volume (rCBV) 17%
42. Structural Brain Network 13%
43. Structural Connectivity 18%
44. Survival Prediction 14%
45. Tractography 9%
46. Tumor 43%
47. Tumor Invasion 17%
48. Tumor Segmentation 10%
49. Unsupervised Learning 21%
50. Whole Slide Image 9%