Get our free extension to see links to code for papers anywhere online!

Chrome logo  Add to Chrome

Firefox logo Add to Firefox
Picture for Jiliu Zhou

Jiliu Zhou
Alert button

LDP-Net: An Unsupervised Pansharpening Network Based on Learnable Degradation Processes


Nov 24, 2021
Jiahui Ni, Zhimin Shao, Zhongzhou Zhang, Mingzheng Hou, Jiliu Zhou, Leyuan Fang, Yi Zhang

Add code
Alert button

Figure 1 for LDP-Net: An Unsupervised Pansharpening Network Based on Learnable Degradation Processes
Figure 2 for LDP-Net: An Unsupervised Pansharpening Network Based on Learnable Degradation Processes
Figure 3 for LDP-Net: An Unsupervised Pansharpening Network Based on Learnable Degradation Processes
Figure 4 for LDP-Net: An Unsupervised Pansharpening Network Based on Learnable Degradation Processes

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Unsupervised PET Reconstruction from a Bayesian Perspective


Oct 29, 2021
Chenyu Shen, Wenjun Xia, Hongwei Ye, Mingzheng Hou, Hu Chen, Yan Liu, Jiliu Zhou, Yi Zhang

Add code
Alert button

Figure 1 for Unsupervised PET Reconstruction from a Bayesian Perspective
Figure 2 for Unsupervised PET Reconstruction from a Bayesian Perspective
Figure 3 for Unsupervised PET Reconstruction from a Bayesian Perspective
Figure 4 for Unsupervised PET Reconstruction from a Bayesian Perspective

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

One Network to Solve Them All: A Sequential Multi-Task Joint Learning Network Framework for MR Imaging Pipeline


May 14, 2021
Zhiwen Wang, Wenjun Xia, Zexin Lu, Yongqiang Huang, Yan Liu, Hu Chen, Jiliu Zhou, Yi Zhang

Add code
Alert button

Figure 1 for One Network to Solve Them All: A Sequential Multi-Task Joint Learning Network Framework for MR Imaging Pipeline
Figure 2 for One Network to Solve Them All: A Sequential Multi-Task Joint Learning Network Framework for MR Imaging Pipeline
Figure 3 for One Network to Solve Them All: A Sequential Multi-Task Joint Learning Network Framework for MR Imaging Pipeline
Figure 4 for One Network to Solve Them All: A Sequential Multi-Task Joint Learning Network Framework for MR Imaging Pipeline
* 9 pages, 3 figures 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Deep Learning based Multi-modal Computing with Feature Disentanglement for MRI Image Synthesis


May 06, 2021
Yuchen Fei, Bo Zhan, Mei Hong, Xi Wu, Jiliu Zhou, Yan Wang

Add code
Alert button

Figure 1 for Deep Learning based Multi-modal Computing with Feature Disentanglement for MRI Image Synthesis
Figure 2 for Deep Learning based Multi-modal Computing with Feature Disentanglement for MRI Image Synthesis
Figure 3 for Deep Learning based Multi-modal Computing with Feature Disentanglement for MRI Image Synthesis
Figure 4 for Deep Learning based Multi-modal Computing with Feature Disentanglement for MRI Image Synthesis

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

IDOL-Net: An Interactive Dual-Domain Parallel Network for CT Metal Artifact Reduction


Apr 03, 2021
Tao Wang, Wenjun Xia, Zexin Lu, Huaiqiang Sun, Yan Liu, Hu Chen, Jiliu Zhou, Yi Zhang

Add code
Alert button

Figure 1 for IDOL-Net: An Interactive Dual-Domain Parallel Network for CT Metal Artifact Reduction
Figure 2 for IDOL-Net: An Interactive Dual-Domain Parallel Network for CT Metal Artifact Reduction
Figure 3 for IDOL-Net: An Interactive Dual-Domain Parallel Network for CT Metal Artifact Reduction
Figure 4 for IDOL-Net: An Interactive Dual-Domain Parallel Network for CT Metal Artifact Reduction
* 10 pages, 8 figures 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

MANAS: Multi-Scale and Multi-Level Neural Architecture Search for Low-Dose CT Denoising


Mar 24, 2021
Zexin Lu, Wenjun Xia, Yongqiang Huang, Hongming Shan, Hu Chen, Jiliu Zhou, Yi Zhang

Add code
Alert button

Figure 1 for MANAS: Multi-Scale and Multi-Level Neural Architecture Search for Low-Dose CT Denoising
Figure 2 for MANAS: Multi-Scale and Multi-Level Neural Architecture Search for Low-Dose CT Denoising
Figure 3 for MANAS: Multi-Scale and Multi-Level Neural Architecture Search for Low-Dose CT Denoising
Figure 4 for MANAS: Multi-Scale and Multi-Level Neural Architecture Search for Low-Dose CT Denoising

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

TPPI-Net: Towards Efficient and Practical Hyperspectral Image Classification


Mar 18, 2021
Hao Chen, Xiaohua Li, Jiliu Zhou

Add code
Alert button

Figure 1 for TPPI-Net: Towards Efficient and Practical Hyperspectral Image Classification
Figure 2 for TPPI-Net: Towards Efficient and Practical Hyperspectral Image Classification
Figure 3 for TPPI-Net: Towards Efficient and Practical Hyperspectral Image Classification
Figure 4 for TPPI-Net: Towards Efficient and Practical Hyperspectral Image Classification

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

DAN-Net: Dual-Domain Adaptive-Scaling Non-local Network for CT Metal Artifact Reduction


Feb 16, 2021
Tao Wang, Wenjun Xia, Yongqiang Huang, Huaiqiang Sun, Yan Liu, Hu Chen, Jiliu Zhou, Yi Zhang

Add code
Alert button

Figure 1 for DAN-Net: Dual-Domain Adaptive-Scaling Non-local Network for CT Metal Artifact Reduction
Figure 2 for DAN-Net: Dual-Domain Adaptive-Scaling Non-local Network for CT Metal Artifact Reduction
Figure 3 for DAN-Net: Dual-Domain Adaptive-Scaling Non-local Network for CT Metal Artifact Reduction
Figure 4 for DAN-Net: Dual-Domain Adaptive-Scaling Non-local Network for CT Metal Artifact Reduction
* 29 pages, 11 figures 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

LEARN++: Recurrent Dual-Domain Reconstruction Network for Compressed Sensing CT


Dec 13, 2020
Yi Zhang, Hu Chen, Wenjun Xia, Yang Chen, Baodong Liu, Yan Liu, Huaiqiang Sun, Jiliu Zhou

Add code
Alert button

Figure 1 for LEARN++: Recurrent Dual-Domain Reconstruction Network for Compressed Sensing CT
Figure 2 for LEARN++: Recurrent Dual-Domain Reconstruction Network for Compressed Sensing CT
Figure 3 for LEARN++: Recurrent Dual-Domain Reconstruction Network for Compressed Sensing CT
Figure 4 for LEARN++: Recurrent Dual-Domain Reconstruction Network for Compressed Sensing CT
* 10 pages, 11 figures 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Fourth-Order Nonlocal Tensor Decomposition Model for Spectral Computed Tomography


Oct 27, 2020
Xiang Chen, Wenjun Xia, Yan Liu, Hu Chen, Jiliu Zhou, Yi Zhang

Add code
Alert button

Figure 1 for Fourth-Order Nonlocal Tensor Decomposition Model for Spectral Computed Tomography
Figure 2 for Fourth-Order Nonlocal Tensor Decomposition Model for Spectral Computed Tomography
Figure 3 for Fourth-Order Nonlocal Tensor Decomposition Model for Spectral Computed Tomography
Figure 4 for Fourth-Order Nonlocal Tensor Decomposition Model for Spectral Computed Tomography
* 4 pages, 3 figure 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email
1
2
3
>>