most citedIterative PET Image Reconstruction Using Convolutional Neural Network Representation

34 citations · 34 across the 1 of their papers we have counts for

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cs.CV2018

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…

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…