User profiles for Nuobei Xie
Nuobei XieZhejiang University; Massachusetts General Hospital; Harvard Medical School Verified email at zju.edu.cn Cited by 92 |
Penalized-likelihood PET image reconstruction using 3D structural convolutional sparse coding
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 into …
from low resolution and high noise, numerous efforts try to incorporate anatomical priors into …
Severity and consolidation quantification of COVID-19 from CT images using deep learning based on hybrid weak labels
Early and accurate diagnosis of Coronavirus disease (COVID-19) is essential for patient
isolation and contact tracing so that the spread of infection can be limited. Computed …
isolation and contact tracing so that the spread of infection can be limited. Computed …
[HTML][HTML] Rapid high-quality PET Patlak parametric image generation based on direct reconstruction and temporal nonlocal neural network
Parametric imaging based on dynamic positron emission tomography (PET) has wide
applications in neurology. Compared to indirect methods, direct reconstruction methods, which …
applications in neurology. Compared to indirect methods, direct reconstruction methods, which …
Clinically translatable direct Patlak reconstruction from dynamic PET with motion correction using convolutional neural network
Patlak model is widely used in 18 F-FDG dynamic positron emission tomography (PET)
imaging, where the estimated parametric images reveal important biochemical and physiology …
imaging, where the estimated parametric images reveal important biochemical and physiology …
[HTML][HTML] 3D tensor based nonlocal low rank approximation in dynamic PET reconstruction
Reconstructing images from multi-view projections is a crucial task both in the computer
vision community and in the medical imaging community, and dynamic positron emission …
vision community and in the medical imaging community, and dynamic positron emission …
Nonlocal low-rank and total variation constrained PET image reconstruction
Many efforts have been made for decades in order to improve the accuracy of radioactivity
map in positron emission tomography (PET) images, which has important clinical implications …
map in positron emission tomography (PET) images, which has important clinical implications …
Improved Patlak Reconstruction from Low-dose Dynamic PET Using Temporal Non-local Neural Network
Patlak model is constantly considered as a critical topic in the application of dynamic positron
emission tomography (PET). Traditionally, direct reconstruction methods were preferred …
emission tomography (PET). Traditionally, direct reconstruction methods were preferred …
3D Structural Convolutional Sparse Coding for PET Image Reconstruction
576 Objectives: As PET suffers from low resolution and high noise, numerous efforts try to
incorporate anatomical priors into PET image reconstruction. In this work, we proposed a novel …
incorporate anatomical priors into PET image reconstruction. In this work, we proposed a novel …
RETRACTED ARTICLE: Has_circ_0008583 modulates hepatocellular carcinoma progression through the miR-1301-3p/METTL3 pathway
F Wang, Z Xie, N Zhang, H Ding, K Xiong, L Guo… - …, 2022 - Taylor & Francis
Statement of Retraction Fenfen Wang, Zhengyuan Xie, Nuobei Zhang, Hao Ding, Kai Xiong,
Li Guo, Hongyan Huang & Zhili Wen (2022) Has_circ_0008583 modulates hepatocellular …
Li Guo, Hongyan Huang & Zhili Wen (2022) Has_circ_0008583 modulates hepatocellular …
[HTML][HTML] LncRNA FGD5-AS1 functions as an oncogene to upregulate GTPBP4 expression by sponging miR-873-5p in hepatocellular carcinoma
…, H Shen, S Huang, F Wang, H Liu, F Xie… - European Journal of …, 2021 - ncbi.nlm.nih.gov
The long non-coding FGD5-AS1 (LncFGD5-AS1) has been reported to be a novel
carcinogenic gene and participant in regulating tumor progression by sponging microRNAs (miRNAs). …
carcinogenic gene and participant in regulating tumor progression by sponging microRNAs (miRNAs). …