Michal Sofka
55Patents
9h-index
57Co-inventors
77Inventor score
Filing activity: Jul 20, 2005 → May 5, 2023
Most-cited inventions
| Patent | Title | Area | Cited by | Status |
|---|---|---|---|---|
| US10416264B2 | Systems and methods for automated detection in magnetic resonance images | Physics | 85 | Active |
| US9985982B1 | Method and apparatus for aggregating indicators of compromise for use in network security | Electricity | 57 | Active |
| US10534058B2 | Systems and methods for automated detection in magnetic resonance images | Physics | 44 | Active |
| US8811697B2 | Data transmission in remote computer assisted detection | Physics | 26 | Active |
| US10702242B2 | Augmented reality interface for assisting a user to operate an ultrasound device | Physics | 20 | Active |
| US11185249B2 | Self ensembling techniques for generating magnetic resonance images from spatial frequency data | Physics | 12 | Active |
| US10193913B2 | Joint anomaly detection across IOT devices | Electricity | 10 | Active |
| US9042620B2 | Method and system for multi-organ segmentation using learning-based segmentation and level set optimization | Physics | 10 | Active |
| US9781139B2 | Identifying malware communications with DGA generated domains by discriminative learning | Electricity | 9 | Active |
| US10993697B2 | Automated image acquisition for assisting a user to operate an ultrasound device | Physics | 7 | Active |
| US11300645B2 | Deep learning techniques for magnetic resonance image reconstruction | Physics | 7 | Active |
| US10154051B2 | Automatic detection of network threats based on modeling sequential behavior in network traffic | Physics | 7 | Active |
| US9495752B2 | Multi-bone segmentation for 3D computed tomography | Physics | 6 | Active |
| US10856848B2 | Augmented reality interface for assisting a user to operate an ultrasound device | Physics | 6 | Active |
| US10959702B2 | Automated image acquisition for assisting a user to operate an ultrasound device | Physics | 6 | Active |
| US10187401B2 | Hierarchical feature extraction for malware classification in network traffic | Electricity | 6 | Active |
| US9432393B2 | Global clustering of incidents based on malware similarity and online trustfulness | Electricity | 6 | Active |
| US9462008B2 | Identifying threats based on hierarchical classification | Electricity | 6 | Active |
| US11344219B2 | Deep learning techniques for alignment of magnetic resonance images | Physics | 5 | Active |
| US11324418B2 | Multi-coil magnetic resonance imaging using deep learning | Physics | 5 | Active |
| US8860715B2 | Method and system for evaluation using probabilistic boosting trees | Physics | 5 | Active |
| US9646229B2 | Method and system for bone segmentation and landmark detection for joint replacement surgery | Physics | 5 | Active |
| US10585156B2 | Systems and methods for automated detection in magnetic resonance images | Physics | 4 | Active |
| US11564590B2 | Deep learning techniques for generating magnetic resonance images from spatial frequency data | Physics | 4 | Active |
| US10187412B2 | Robust representation of network traffic for detecting malware variations | Electricity | 4 | Active |
Source: USPTO / EPO open patent data. Inventor disambiguation is heuristic; counts are objective bibliographic measures.