Mingqing Chen
15Patents
6h-index
43Co-inventors
62Inventor score
Filing activity: Jan 10, 2012 → Oct 3, 2022
Most-cited inventions
| Patent | Title | Area | Cited by | Status |
|---|---|---|---|---|
| US10210613B2 | Multiple landmark detection in medical images based on hierarchical feature learning and end-to-end training | Physics | 16 | Active |
| US10878219B2 | Method and system for artificial intelligence based medical image segmentation | Physics | 14 | Active |
| US8923590B2 | Method and system for 3D cardiac motion estimation from single scan of C-arm angiography | Physics | 12 | Active |
| US11393229B2 | Method and system for artificial intelligence based medical image segmentation | Physics | 11 | Active |
| US10600185B2 | Automatic liver segmentation using adversarial image-to-image network | Physics | 8 | Active |
| US10582907B2 | Deep learning based bone removal in computed tomography angiography | Physics | 8 | Active |
| US9147268B2 | Subtraction of projection data in medical diagnostic imaging | Physics | 6 | Active |
| US9349197B2 | Left ventricle epicardium estimation in medical diagnostic imaging | Physics | 3 | Active |
| US10636141B2 | Adversarial and dual inverse deep learning networks for medical image analysis | Physics | 3 | Active |
| US10430551B2 | Scan data retrieval with depth sensor data | Physics | 3 | Active |
| US10115039B2 | Method and system for machine learning based classification of vascular branches | Physics | 0 | Active |
| US11055847B2 | Adversarial and dual inverse deep learning networks for medical image analysis | Physics | 0 | Active |
| US12340799B2 | Identifying and correcting automatic speech recognition (ASR) misrecognitions in a decentralized manner | Physics | 0 | Active |
| US10366491B2 | Deep image-to-image recurrent network with shape basis for automatic vertebra labeling in large-scale 3D CT volumes | Physics | 0 | Active |
| US11328412B2 | Hierarchical learning of weights of a neural network for performing multiple analyses | Physics | 0 | Active |
Source: USPTO / EPO open patent data. Inventor disambiguation is heuristic; counts are objective bibliographic measures.