Xin Wang
48Patents
7h-index
78Co-inventors
68Inventor score
Filing activity: Sep 13, 2012 → Feb 23, 2025
Most-cited inventions
| Patent | Title | Area | Cited by | Status |
|---|---|---|---|---|
| US10074038B2 | Deep learning medical systems and methods for image reconstruction and quality evaluation | Physics | 32 | Active |
| US11538161B2 | Systems and methods for determining blood vessel conditions | Physics | 14 | Active |
| US10430949B1 | Automatic method and system for vessel refine segmentation in biomedical images using tree structure based deep learning model | Physics | 11 | Active |
| US10964017B2 | Deep learning for arterial analysis and assessment | Physics | 10 | Active |
| US11847547B2 | Method and system for generating a centerline for an object, and computer readable medium | Physics | 8 | Active |
| US11462326B2 | Method and system for disease quantification modeling of anatomical tree structure | Physics | 8 | Active |
| US10249048B1 | Method and system for predicting blood flow features based on medical images | Physics | 7 | Active |
| US11776149B2 | Prediction method for healthy radius of blood vessel path, prediction method for candidate stenosis of blood vessel path, and blood vessel stenosis degree prediction device | Physics | 7 | Active |
| US11748902B2 | Method, device and system for generating a centerline for an object in an image | Physics | 7 | Active |
| US11508460B2 | Method and system for anatomical tree structure analysis | Physics | 7 | Active |
| US10565477B2 | Deep learning medical systems and methods for image reconstruction and quality evaluation | Physics | 6 | Active |
| US11710352B1 | Machine-learned model training for pedestrian attribute and gesture detection | Physics | 6 | Active |
| US10354171B2 | Deep learning medical systems and methods for image reconstruction and quality evaluation | Physics | 6 | Active |
| US10896352B2 | Deep learning medical systems and methods for image reconstruction and quality evaluation | Physics | 5 | Active |
| US11495357B2 | Method and device for automatically predicting FFR based on images of vessel | Physics | 5 | Active |
| US10937549B2 | Method and device for automatically predicting FFR based on images of vessel | Physics | 4 | Active |
| US12094596B2 | Method and system for anatomical labels generation | Physics | 4 | Active |
| US12119117B2 | Method and system for disease quantification of anatomical structures | Physics | 4 | Active |
| US10803583B2 | Systems and methods for determining blood vessel conditions | Physics | 3 | Active |
| US11076824B1 | Method and system for diagnosis of COVID-19 using artificial intelligence | Physics | 2 | Active |
| US11069078B2 | Method, device and system for generating a centerline for an object in an image | Physics | 1 | Active |
| US8983571B2 | Method for measuring liver fat mass using dual-energy X-ray absorptiometry | Physics | 1 | Active |
| US10431328B1 | Method and system for anatomical tree structure analysis | Physics | 1 | Active |
| US12051276B1 | Machine-learned model training for pedestrian attribute and gesture detection | Physics | 1 | Active |
| US11357464B2 | Method and system for diagnosis of COVID-19 using artificial intelligence | Physics | 0 | Active |
Source: USPTO / EPO open patent data. Inventor disambiguation is heuristic; counts are objective bibliographic measures.