Yan Liu

Orcid: 0000-0003-4881-8429

Affiliations:
  • Sichuan University, College of Electrical Engineering, China


According to our database1, Yan Liu authored at least 23 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
Evidence-based uncertainty-aware semi-supervised medical image segmentation.
Comput. Biol. Medicine, March, 2024

An Improved Neural Lyapunov Method for Transient Stability Assessment of Networked Microgrids.
IEEE Trans. Smart Grid, 2024

Multiple organ segmentation framework for brain metastasis radiotherapy.
Comput. Biol. Medicine, 2024

2023
SemiMAR: Semi-Supervised Learning for CT Metal Artifact Reduction.
IEEE J. Biomed. Health Informatics, November, 2023

2022
FONT-SIR: Fourth-Order Nonlocal Tensor Decomposition Model for Spectral CT Image Reconstruction.
IEEE Trans. Medical Imaging, 2022

Leaders: Learnable Deep Radial Subsampling for Mri Reconstruction.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Unsupervised PET Reconstruction from a Bayesian Perspective.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

2021
MAGIC: Manifold and Graph Integrative Convolutional Network for Low-Dose CT Reconstruction.
IEEE Trans. Medical Imaging, 2021

CT Reconstruction With PDF: Parameter-Dependent Framework for Data From Multiple Geometries and Dose Levels.
IEEE Trans. Medical Imaging, 2021

Noise-Powered Disentangled Representation for Unsupervised Speckle Reduction of Optical Coherence Tomography Images.
IEEE Trans. Medical Imaging, 2021

IDOL-Net: An Interactive Dual-Domain Parallel Network for CT Metal Artifact Reduction.
CoRR, 2021

DAN-Net: Dual-Domain Adaptive-Scaling Non-local Network for CT Metal Artifact Reduction.
CoRR, 2021

One Network to Solve Them All: A Sequential Multi-task Joint Learning Network Framework for MR Imaging Pipeline.
Proceedings of the Machine Learning for Medical Image Reconstruction, 2021

Dual-Domain Adaptive-Scaling Non-local Network for CT Metal Artifact Reduction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Ct Reconstruction With Pdf: Parameter-Dependent Framework For Multiple Scanning Geometries And Dose Levels.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Fourth- Order Nonlocal Tensor Decomposition Model For Spectral Computed Tomography.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020
LEARN++: Recurrent Dual-Domain Reconstruction Network for Compressed Sensing CT.
CoRR, 2020

CT Reconstruction with PDF: Parameter-Dependent Framework for Multiple Scanning Geometries and Dose Levels.
CoRR, 2020

Disentanglement Network for Unsupervised Speckle Reduction of Optical Coherence Tomography Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

MMSSD: Multi-scale and Multi-level Single Shot Detector for Brain Metastases Detection.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020

2018
Low-dose CT restoration via stacked sparse denoising autoencoders.
Neurocomputing, 2018

2012
Design of -1/2<sup>n</sup> Order Analog Fractance Approximation Circuit Using Continued fractions Decomposition.
J. Circuits Syst. Comput., 2012

2011
Efficient CT Metal Artifact Reduction Based on Fractional-Order Curvature Diffusion.
Comput. Math. Methods Medicine, 2011


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