Predicting FDG-PET Images From Multi-Contrast MRI Using Deep Learning in Patients With Brain Neoplasms.
Jiahong OuyangKevin T ChenRui Duarte ArmindoGuido Alejandro DavidzonKristina Elizabeth HawkFarshad MoradiJarrett RosenbergElla LanHelena ZhangGreg ZaharchukPublished in: Journal of magnetic resonance imaging : JMRI (2023)
3 TECHNICAL EFFICACY: Stage 2.
Keyphrases
- deep learning
- pet ct
- contrast enhanced
- positron emission tomography
- pet imaging
- computed tomography
- convolutional neural network
- magnetic resonance imaging
- artificial intelligence
- resting state
- magnetic resonance
- white matter
- machine learning
- diffusion weighted imaging
- functional connectivity
- cerebral ischemia
- optical coherence tomography
- subarachnoid hemorrhage
- multiple sclerosis
- blood brain barrier