most citedJoint Correction of Attenuation and Scatter Using Deep Convolutional Neural Networks (DCNN) for Time-of-Flight PET

74 citations · 74 across the 1 of their papers we have counts for

collaborators

1 paper

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…