Canon Medical / RAEng Senior Research Fellow in Healthcare AI

Computer Science

1. Annotation 100%
2. Image Segmentation 81%
3. Learning System 47%
4. Machine Learning 47%
5. Representation Learning 42%
6. Image Analysis 40%
7. Training Data 36%
8. Transformer Network 35%
9. Deep Learning Model 33%
10. Medical Imaging 31%
11. Generative Model 28%
12. Diffusion Model 28%
13. Tumor Segmentation 28%
14. Neural Network 28%
15. Image Synthesis 28%
16. Deep Learning Method 28%
17. Artificial Intelligence 19%
18. Generalization Ability 18%
19. Joint Distribution 18%
20. Classification Performance 18%
21. Continuous Variable 18%
22. Subject Identity 18%
23. U-Net 17%
24. Computer Vision 16%
25. Image Reconstruction 15%
26. Semisupervised Learning 15%
27. Domain Adaptation 14%
28. Building-Blocks 14%
29. Level Heterogeneity 14%
30. Process Synthesis 14%
31. Big Data 14%
32. Observational Data 14%
33. Medical Practice 14%
34. Surrounding Tissue 14%
35. Generalizability 14%
36. Log Data 14%
37. Knowledge Distillation 14%
38. And-States 14%
39. Bidirectional Encoder Representations From Transformers 14%
40. Adversarial Machine Learning 14%
41. Image Classification 14%
42. Image Sequence 14%
43. Directed Acyclic Graph 14%
44. Discriminator 14%
45. Experimental Result 14%
46. Optimization Space 14%
47. Population Level 14%
48. Lesion Segmentation 14%
49. Automatic Machine 14%
50. Semisupervised Model 14%
51. Computer Vision Applications 14%
52. Difference Image 14%
53. Approximation (Algorithm) 14%
54. Personal Information 14%
55. Meta-Learning 14%
56. Widespread Adoption 14%
57. Dataset Source 14%
58. Distributionally Robust Optimization 14%
59. Individual Level 14%
60. Label Distribution 14%
61. Tumor Detection 14%
62. Signal Intensity 14%
63. Longitudinal Data 14%
64. Training Model 14%
65. Computational Method 14%
66. Classification Task 11%
67. Segmentation Model 11%
68. Attention (Machine Learning) 11%
69. segmentation accuracy 11%
70. Supervised Learning 10%
71. Learning Approach 10%
72. Performance Model 9%
73. Sectional Data 9%
74. Segmentation Performance 9%
75. Generalization Performance 8%
76. Unlabeled Data 7%
77. Application Domain 7%
78. Scientific Progress 7%
79. Segmentation Task 7%
80. Sensitive Attribute 7%
81. Input Processing 7%
82. Art Performance 7%
83. Medical Facility 7%
84. Sensitive Domain 7%
85. Learned Feature 7%
86. Disease Condition 7%
87. Tuning Phase 7%
88. Medical Diagnosis 7%
89. Lower Performance 7%
90. Data Privacy 7%
91. Diagnostic Accuracy 7%
92. Phase Difference 7%
93. Appearance Characteristic 7%
94. Learning Ability 7%
95. Training Dataset 7%
96. Deep Neural Network 7%
97. Substantial Amount 7%
98. Optimization Technique 7%
99. Multimodality 7%
100. External Entity 7%
101. Patient Information 7%
102. Shared Information 7%
103. Algorithmic Bias 7%
104. Regularization 7%
105. Developing Model 7%
106. Neural Network Model 7%
107. Information Present 7%
108. Data Augmentation 7%
109. Postprocessing Method 7%
110. Compositional Structure 7%