output
20192025
most citedClinically Translatable Direct Patlak Reconstruction from Dynamic PET with Motion Correction Using Convolutional Neural Network

4 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions

3 papers

q-bio.NC2025★ 1 cited

Language modulates vision: Evidence from neural networks and human brain-lesion models

Haoyang Chen, Bo Liu, Shuyue Wang +5

Comparing information structures in between deep neural networks (DNNs) and the human brain has become a key method for exploring their similarities and differences. Recent researc…

physics.med-ph2020★ 4 cited

Clinically Translatable Direct Patlak Reconstruction from Dynamic PET with Motion Correction Using Convolutional Neural Network

Nuobei Xie, Kuang Gong, Ning Guo +5

Patlak model is widely used in 18F-FDG dynamic positron emission tomography (PET) imaging, where the estimated parametric images reveal important biochemical and physiology informa…

physics.med-ph2019★ 2 cited

Penalized-likelihood PET Image Reconstruction Using 3D Structural Convolutional Sparse Coding

Nuobei Xie, Kuang Gong, Ning Guo +4

Positron emission tomography (PET) is widely used for clinical diagnosis. As PET suffers from low resolution and high noise, numerous efforts try to incorporate anatomical priors i…