113 citations · 221 across the 3 of their papers we have counts for
3 papers
cs.CV2018★ 74 cited
Joint Correction of Attenuation and Scatter Using Deep Convolutional Neural Networks (DCNN) for Time-of-Flight PET
Jaewon Yang, Dookun Park, Jae Ho Sohn +3
Deep convolutional neural networks (DCNN) have demonstrated its capability to convert MR image to pseudo CT for PET attenuation correction in PET/MRI. Conventionally, attenuated ev…
physics.med-ph2017★ 113 cited
Attenuation correction for brain PET imaging using deep neural network based on dixon and ZTE MR images
Kuang Gong, Jaewon Yang, Kyungsang Kim +3
Positron Emission Tomography (PET) is a functional imaging modality widely used in neuroscience studies. To obtain meaningful quantitative results from PET images, attenuation corr…
cs.CV2017★ 34 cited
Iterative PET Image Reconstruction Using Convolutional Neural Network Representation
Kuang Gong, Jiahui Guan, Kyungsang Kim +4
PET image reconstruction is challenging due to the ill-poseness of the inverse problem and limited number of detected photons. Recently deep neural networks have been widely and su…