State-of-the-Art Machine Learning MRI Reconstruction in 2020: Results of the Second fastMRI Challenge.
Matthew J. MuckleyBruno RiemenschneiderAlireza RadmaneshSunwoo KimGeunu JeongJingyu KoYohan JunHyungseob ShinDosik HwangMahmoud MostaphaSimon ArberetDominik NickelZaccharie RamziPhilippe CiuciuJean-Luc StarckJonas TeuwenDimitrios KarkalousosChaoping ZhangAnuroop SriramZhengnan HuangNafissa YakubovaYvonne W. LuiFlorian KnollPublished in: CoRR (2020)
Keyphrases
- machine learning
- high resolution
- magnetic resonance images
- magnetic resonance imaging
- medical images
- image reconstruction
- phase unwrapping
- machine learning methods
- machine learning algorithms
- three dimensional
- computer tomography
- mr images
- information extraction
- computer science
- decision trees
- mri images
- data mining
- learning algorithm
- computer vision
- medical imaging
- pattern recognition
- knowledge discovery
- positron emission tomography
- reinforcement learning
- reconstruction method
- mri data
- inductive learning
- computational intelligence
- image analysis
- artificial intelligence
- knowledge acquisition
- machine learning approaches
- text mining
- reconstruction process
- natural language processing
- feature selection
- mr imaging
- support vector machine
- knowledge representation
- discrete tomography
- brain mapping