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Simultaneous Denoising and Motion Estimation for Low-dose Gated PET
  using a Siamese Adversarial Network with Gate-to-Gate Consistency Learning

Simultaneous Denoising and Motion Estimation for Low-dose Gated PET using a Siamese Adversarial Network with Gate-to-Gate Consistency Learning

14 September 2020
Bo Zhou
Yu-Jung Tsai
Chi Liu
    MedImAAML
ArXiv (abs)PDFHTML

Papers citing "Simultaneous Denoising and Motion Estimation for Low-dose Gated PET using a Siamese Adversarial Network with Gate-to-Gate Consistency Learning"

2 / 2 papers shown
Title
FedFTN: Personalized Federated Learning with Deep Feature Transformation
  Network for Multi-institutional Low-count PET Denoising
FedFTN: Personalized Federated Learning with Deep Feature Transformation Network for Multi-institutional Low-count PET Denoising
Bo Zhou
Huidong Xie
Qiong Liu
Xiongchao Chen
Xueqi Guo
...
Biao Li
Axel Rominger
Kuangyu Shi
James S. Duncan
Chi Liu
OOD
88
116
0
02 Apr 2023
Anatomy-guided Multimodal Registration by Learning Segmentation without
  Ground Truth: Application to Intraprocedural CBCT/MR Liver Segmentation and
  Registration
Anatomy-guided Multimodal Registration by Learning Segmentation without Ground Truth: Application to Intraprocedural CBCT/MR Liver Segmentation and Registration
Bo Zhou
Z. Augenfeld
Julius Chapiro
S. Kevin Zhou
Chi Liu
James S. Duncan
77
49
0
14 Apr 2021
1