Licensable university IP
Prior-incorporated deep learning framework for sparse image reconstruction by using geometry and physics priors from imaging system
Prior-incorporated deep learning framework for sparse image reconstruction by using geometry and physics priors from imaging system is marketed for licensing by Stanford University (OTL). It is documented in US patent US 12,608,862. The current assignee of record is Leland Stanford Junior University. Google Patents reports its legal status as “Active” (an automated indicator, not a legal determination). Its expected expiration is 2044-04-05.
Patent picture
| Field | Value | Reliability | Source |
|---|---|---|---|
| US patent | US 12,608,862 | High | Google Patents |
| Patent title | Prior-incorporated deep learning framework for sparse image reconstruction by using geometry and physics priors from imaging system | High | Google Patents |
| Current assignee | Leland Stanford Junior University | Good | Google Patents |
| Original assignee | Leland Stanford Junior University | Good | Google Patents |
| Legal status | Active | Moderate | Google Patents |
| Filing date | 2023-05-12 | High | Google Patents |
| Priority date | 2022-05-12 | High | Google Patents |
| Publication date | 2026-04-21 | High | Google Patents |
| Expected expiration | 2044-04-05 | Moderate | Google Patents |
- High 90% and up
- Good 80 to 89%
- Moderate 70 to 79%
Legal status is Google Patents' automated indicator, not a legal determination.
Joined to US 12,608,862 by its printed patent number (a deterministic match), then enriched from public Google Patents data. Fields are shown only where resolved against a public source; unresolved fields are omitted, never guessed.
Grouped under Medical Devices & Diagnostics · Software & Computing, derived from its patent classification (CPC G06T, G16H; Google Patents).
Original listing
This technology is marketed for licensing by Stanford University (OTL). View the original listing.