Real-time AI to identify aortic valve disease from 3-chamber CINE MRI. Uses Siemens FIRE and the neural network implementation from On et al, 2023, https://doi-org.iclibezp1.cc.ic.ac.uk/10.1007/978-3-031-35302-4_66.
-
Notifications
You must be signed in to change notification settings - Fork 0
Real-time AI to identify aortic valve disease from 3-chamber CINE MRI (from On et al, 2023, https://doi-org.iclibezp1.cc.ic.ac.uk/10.1007/978-3-031-35302-4_66)
martavarela/AVAI
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
Real-time AI to identify aortic valve disease from 3-chamber CINE MRI (from On et al, 2023, https://doi-org.iclibezp1.cc.ic.ac.uk/10.1007/978-3-031-35302-4_66)
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published