David Liu
88Patents
14h-index
92Co-inventors
87Inventor score
Filing activity: Jun 6, 1996 → Dec 27, 2022
Most-cited inventions
| Patent | Title | Area | Cited by | Status |
|---|---|---|---|---|
| US9655563B2 | Early therapy response assessment of lesions | Physics | 65 | Active |
| US9633306B2 | Method and system for approximating deep neural networks for anatomical object detection | Physics | 57 | Active |
| US9668699B2 | Method and system for anatomical object detection using marginal space deep neural networks | Physics | 47 | Active |
| US9760807B2 | Deep image-to-image network learning for medical image analysis | Physics | 40 | Active |
| US9730643B2 | Method and system for anatomical object detection using marginal space deep neural networks | Physics | 39 | Active |
| US7573988B2 | System and method for providing customized voice connection services via gatekeeper | Electricity | 36 | Active |
| US11042155B2 | Method and system for closed loop perception in autonomous driving vehicles | Physics | 24 | Active |
| US8086488B2 | Method and apparatus for defining, distributing, and redeeming SMS and MMS coupons | Electricity | 24 | Active |
| US10994741B2 | Method and system for human-like vehicle control prediction in autonomous driving vehicles | Physics | 20 | Active |
| US10599144B2 | Method and system for driving mode switching based on self-aware capability parameters in hybrid driving | Performing Operations; Transporting | 20 | Active |
| US10710590B2 | Method and system for risk based driving mode switching in hybrid driving | Performing Operations; Transporting | 18 | Active |
| US10282588B2 | Image-based tumor phenotyping with machine learning from synthetic data | Physics | 17 | Active |
| US10210613B2 | Multiple landmark detection in medical images based on hierarchical feature learning and end-to-end training | Physics | 16 | Active |
| US10406978B2 | Method and system for adapting augmented switching warning | Performing Operations; Transporting | 14 | Active |
| US10062014B2 | Deep image-to-image network learning for medical image analysis | Physics | 12 | Active |
| US11273836B2 | Method and system for human-like driving lane planning in autonomous driving vehicles | Performing Operations; Transporting | 11 | Active |
| US10957064B2 | Method and system for multiple stereo based depth estimation and collision warning/avoidance utilizing the same | Electricity | 11 | Active |
| US10723358B2 | Method and system for driving mode switching based on driver's state in hybrid driving | Performing Operations; Transporting | 9 | Active |
| US9141763B2 | Method and system for patient-specific computational modeling and simulation for coupled hemodynamic analysis of cerebral vessels | Physics | 9 | Active |
| US11130497B2 | Method and system for ensemble vehicle control prediction in autonomous driving vehicles | Physics | 9 | Active |
| US10620627B2 | Method and system for risk control in switching driving mode | Performing Operations; Transporting | 9 | Active |
| US9117259B2 | Method and system for liver lesion detection | Physics | 8 | Active |
| US10582907B2 | Deep learning based bone removal in computed tomography angiography | Physics | 8 | Active |
| US11550334B2 | Method and system for integrated global and distributed learning in autonomous driving vehicles | Physics | 8 | Active |
| US11021101B2 | Method and system for augmented alerting based on driver's state in hybrid driving | Performing Operations; Transporting | 7 | Active |
Source: USPTO / EPO open patent data. Inventor disambiguation is heuristic; counts are objective bibliographic measures.