| # | Country | Total Patents | |
|---|---|---|---|
| #1 | WIPO (World Intellectual Property Organization) | 5 | |
| #2 | United States | 3 | |
| #3 | EPO (European Patent Office) | 2 | |
| #4 | Australia | 1 | |
| #5 | Brazil | 1 | |
| #6 | China | 1 | |
| #7 | Republic of Korea | 1 | |
| #8 | Singapore | 1 |
| # | Industry | |
|---|---|---|
| #1 | Computer technology | |
| #2 | Measurement | |
| #3 | Medical technology |
| # | Technology | |
|---|---|---|
| #1 | Image data processing | |
| #2 | Measuring electric variables | |
| #3 | Diagnosis and surgery | |
| #4 | Data recognition and presentation | |
| #5 | Specific computer systems |
| # | Name | Total Patents |
|---|---|---|
| #1 | Zhang Tao | 14 |
| #2 | Gong Enhao | 14 |
| #3 | Zaharchuk Gregory | 3 |
| #4 | Wang Long | 2 |
| #5 | Tamir Jonathan | 1 |
| #6 | Enhao Gong | 1 |
| #7 | Xiang Lei | 1 |
| #8 | Tao Zhang | 1 |
| #9 | Pasumarthi Venkata Srivathsa | 1 |
| Publication | Filing date | Title |
|---|---|---|
| WO2021067186A2 | Systems and methods of using self-attention deep learning for image enhancement | |
| WO2021061710A1 | Systems and methods for improving low dose volumetric contrast-enhanced mri | |
| WO2021041125A1 | Systems and methods for accurate and rapid positron emission tomography using deep learning | |
| EP3807814A1 | Systems and methods for magnetic resonance imaging standardization using deep learning | |
| CN111989039A | System and method for improving magnetic resonance imaging using deep learning |