An end-to-end deep learning pipeline to derive blood input with partial volume corrections for automated parametric brain PET mapping.
Rugved ChavanGabriel HymanZoraiz QureshiNivetha JayakumarWilliam TerrellStuart BerrDavid SchiffMegan WardiusNathan FountainThomas Eluvathingal MuttikkalMark QuiggMiaomiao ZhangBijoy KunduPublished in: CoRR (2024)
Keyphrases
- end to end
- deep learning
- partial volume
- cortical thickness
- positron emission tomography
- brain tissue
- magnetic resonance
- mr images
- brain mr images
- magnetic resonance images
- deformation field
- unsupervised learning
- brain images
- machine learning
- brain tumors
- mri data
- brain mri
- magnetic resonance imaging
- human brain
- medical images
- mental models
- white matter
- higher order
- object recognition
- multiscale
- computer vision