Liyan Lin

Orcid: 0000-0003-0394-339X

According to our database1, Liyan Lin authored at least 13 papers between 2016 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
A Polarization and Radiomics Feature Fusion Network for the Classification of Hepatocellular Carcinoma and Intrahepatic Cholangiocarcinoma.
CoRR, 2023

2022
DGMSNet: Spine segmentation for MR image by a detection-guided mixed-supervised segmentation network.
Medical Image Anal., 2022

A Fair Subcarrier Activation Method for OFDM-Index Modulation System.
Proceedings of the 22nd IEEE International Conference on Communication Technology, 2022

2021
Learning to Reconstruct CT Images From the VVBP-Tensor.
IEEE Trans. Medical Imaging, 2021

Quantifying Axial Spine Images Using Object-Specific Bi-Path Network.
IEEE J. Biomed. Health Informatics, 2021

QoS-Aware Energy Efficient Power Allocation for OFDM Based DF Relay Networks.
Proceedings of the 21st International Conference on Communication Technology, 2021

Energy-Efficient Resource Allocation for Uplink Multi-User MIMO SC-FDMA Systems.
Proceedings of the 21st International Conference on Communication Technology, 2021

2020
Flexible Prediction of CT Images From MRI Data Through Improved Neighborhood Anchored Regression for PET Attenuation Correction.
IEEE J. Biomed. Health Informatics, 2020

Multiple Axial Spine Indices Estimation via Dense Enhancing Network With Cross-Space Distance-Preserving Regularization.
IEEE J. Biomed. Health Informatics, 2020

2019
Hippocampus Segmentation Based on Iterative Local Linear Mapping With Representative and Local Structure-Preserved Feature Embedding.
IEEE Trans. Medical Imaging, 2019

2018
Predicting CT Image From MRI Data Through Feature Matching With Learned Nonlinear Local Descriptors.
IEEE Trans. Medical Imaging, 2018

Lung Field Segmentation in Chest Radiographs From Boundary Maps by a Structured Edge Detector.
IEEE J. Biomed. Health Informatics, 2018

2016
Predict CT image from MRI data using KNN-regression with learned local descriptors.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016


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