Li, Chao

Keyphrases

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