Li, Chao

Keyphrases

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