Pascal Ceccaldi
15Patents
4h-index
24Co-inventors
49Inventor score
Filing activity: Jun 7, 2018 → Feb 8, 2022
Most-cited inventions
| Patent | Title | Area | Cited by | Status |
|---|---|---|---|---|
| US10698063B2 | Motion artifact reduction of magnetic resonance images with an adversarial trained network | Physics | 7 | Active |
| US10852379B2 | Artifact reduction by image-to-image network in magnetic resonance imaging | Physics | 7 | Active |
| US10624558B2 | Protocol independent image processing with adversarial networks | Physics | 6 | Active |
| US10753997B2 | Image standardization using generative adversarial networks | Physics | 5 | Active |
| US10733788B2 | Deep reinforcement learning for recursive segmentation | Physics | 4 | Active |
| US11776128B2 | Automatic detection of lesions in medical images using 2D and 3D deep learning networks | Physics | 2 | Active |
| US11263744B2 | Saliency mapping by feature reduction and perturbation modeling in medical imaging | Physics | 2 | Active |
| US11783485B2 | Protocol-aware tissue segmentation in medical imaging | Physics | 1 | Active |
| US10997717B2 | Method and system for generating a confidence score using deep learning model | Physics | 1 | Active |
| US11861828B2 | Automated estimation of midline shift in brain ct images | Physics | 1 | Active |
| US10832392B2 | Method, learning apparatus, and medical imaging apparatus for registration of images | Physics | 1 | Active |
| US11288806B2 | Protocol-aware tissue segmentation in medical imaging | Physics | 1 | Active |
| US11783484B2 | Protocol-aware tissue segmentation in medical imaging | Physics | 1 | Active |
| US12112844B2 | Machine learning for automatic detection of intracranial hemorrhages with uncertainty measures from medical images | Physics | 0 | Active |
| US11282203B2 | Method and system for image analysis | Physics | 0 | Active |
Source: USPTO / EPO open patent data. Inventor disambiguation is heuristic; counts are objective bibliographic measures.