Dong-Joo Kim

Keyphrases

1. Intracranial Pressure 100%
2. Brain-computer Interface 88%
3. Electroencephalography 68%
4. Motor Imagery 68%
5. Traumatic Brain Injury 65%
6. Arterial Blood Pressure 56%
7. Hydrocephalus 47%
8. Convolutional Neural Network 44%
9. Cerebral Perfusion Pressure 38%
10. Motor Imagery Classification 35%
11. Classification Accuracy 34%
12. Electroencephalogram 32%
13. Idiopathic Normal Pressure Hydrocephalus (iNPH) 29%
14. Pulse Amplitude 29%
15. Traumatic Brain Injury Patients 27%
16. Sleep Stage Classification 27%
17. Computed Tomography 25%
18. Infusion Test 24%
19. Deep Learning Methods 24%
20. Shunt 23%
21. Cerebrospinal Fluid 23%
22. Intracranial Hypertension 22%
23. Pressure Pulse 21%
24. Hypocapnia 19%
25. Cerebral Autoregulation 19%
26. Computed Tomography Images 19%
27. Motor Imagery Brain-computer Interface 18%
28. Compensatory Reserve 17%
29. Intracranial Pressure Waveform 17%
30. Convolutional Neural Network Model 17%
31. Density Distribution 17%
32. Artifact Elimination 16%
33. Pressure Reactivity Index 16%
34. High Performance 16%
35. Cerebral Compliance 16%
36. Critical Closing Pressure 16%
37. Lower Limb Motor Imagery 16%
38. Attention Level 16%
39. Classification Performance 15%
40. Middle Cerebral Artery 15%
41. Spectral-spatial Feature 14%
42. Machine Learning 14%
43. Outcome Prediction 14%
44. Cerebrospinal Fluid Flow 13%
45. Artifact Removal 13%
46. Routs 13%
47. Motor Imagery Task 13%
48. Area under the Curve 13%
49. Cerebrospinal Fluid Dynamics 13%
50. Movement Imagery 12%