| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_2a819eda0adf22936a52362eeebb9fb4 |
| classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-10096
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2200-04
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-30104
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20084
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20081
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-30096
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-30016
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V2201-03 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V10-82
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-0012
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-0263
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N5-046
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-049 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-026
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-04
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N5-04 |
| filingDate |
2016-12-15-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_6243eb6549c02d66528cf61a34a0116f
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_2a122f0c28640be5290401f6bafee61a
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_5a0bfd7d8df07dcd05a478929a238af2 |
| publicationDate |
2018-12-27-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
US-2018374213-A1 |
| titleOfInvention |
Systems and Methods For Analyzing Perfusion-Weighted Medical Imaging Using Deep Neural Networks |
| abstract |
Systems and methods for analyzing perfusion-weighted medical imaging using deep neural networks are provided. In some aspects, a method includes receiving perfusion-weighted imaging data acquired from a subject using a magnetic resonance (“MR”) imaging system and modeling at least one voxel associated with the perfusion-weighted imaging data using a four-dimensional (“4D”) convolutional neural network. The method also includes extracting spatio-temporal features for each modeled voxel and estimating at least one perfusion parameter for each modeled voxel based on the extracted spatio-temporal features. The method further includes generating a report using the at least one perfusion parameter indicating perfusion in the subject. |
| isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-110658156-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-10783393-B2
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-10783394-B2
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-111737909-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11741601-B2
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11521743-B2
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11302043-B2
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-111543973-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11170508-B2
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-10860896-B2
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/WO-2021080674-A1
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11024024-B2
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-2021334960-A1
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/WO-2023019022-A1
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/WO-2020226455-A1
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11151361-B2
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-2018365532-A1
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11474173-B2
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11699236-B2 |
| priorityDate |
2015-12-15-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |