Motion correction in MRI using deep learning and a novel hybrid loss function.
Lei ZhangXiaoke WangMichael RawsonRadu BalanEdward H. HerskovitsElias MelhemLinda ChangZe WangThomas ErnstPublished in: CoRR (2022)
Keyphrases
- loss function
- motion correction
- deep learning
- mri data
- mr imaging
- unsupervised learning
- magnetic resonance images
- magnetic resonance imaging
- pairwise
- support vector
- brain imaging
- magnetic resonance
- logistic regression
- machine learning
- weakly supervised
- dce mri
- mr images
- fully automatic
- medical images
- white matter
- data sets
- generative model
- object recognition
- computer vision
- supervised learning
- semi supervised
- multi class