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Liyan Lin
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2020 – today
- 2024
- [j9]Jinsong Gui, Liyan Lin, Xiaoheng Deng, Lin Cai:
Spectrum-Energy-Efficient Mode Selection and Resource Allocation for Heterogeneous V2X Networks: A Federated Multi-Agent Deep Reinforcement Learning Approach. IEEE/ACM Trans. Netw. 32(3): 2689-2704 (2024) - 2023
- [i1]Jia Dong, Yao Yao, Liyan Lin, Yang Dong, Jiachen Wan, Ran Peng, Chao Li, Hui Ma:
A Polarization and Radiomics Feature Fusion Network for the Classification of Hepatocellular Carcinoma and Intrahepatic Cholangiocarcinoma. CoRR abs/2312.16607 (2023) - 2022
- [j8]Shumao Pang, Chunlan Pang, Zhihai Su, Liyan Lin, Lei Zhao, Yangfan Chen, Yujia Zhou, Hai Lu, Qianjin Feng:
DGMSNet: Spine segmentation for MR image by a detection-guided mixed-supervised segmentation network. Medical Image Anal. 75: 102261 (2022) - [c4]Zhengguang Zheng, Liyan Lin, Yu Yan, Donghui Yu, Jie Zhang:
A Fair Subcarrier Activation Method for OFDM-Index Modulation System. ICCT 2022: 39-43 - 2021
- [j7]Liyan Lin, Xi Tao, Wei Yang, Shumao Pang, Zhihai Su, Hai Lu, Shuo Li, Qianjin Feng, Bo Chen:
Quantifying Axial Spine Images Using Object-Specific Bi-Path Network. IEEE J. Biomed. Health Informatics 25(8): 2978-2987 (2021) - [j6]Xi Tao, Yongbo Wang, Liyan Lin, Zixuan Hong, Jianhua Ma:
Learning to Reconstruct CT Images From the VVBP-Tensor. IEEE Trans. Medical Imaging 40(11): 3030-3041 (2021) - [c3]Zhengguang Zheng, Yuyi Wang, Liyan Lin, Fangzheng Wei, Yun Zhang, Kun Cai, Donghui Yu, Yu Yan:
QoS-Aware Energy Efficient Power Allocation for OFDM Based DF Relay Networks. ICCT 2021: 621-625 - [c2]Zhengguang Zheng, Liyan Lin, Yuyi Wang, Fangzheng Wei, Yun Zhang, Kun Cai, Donghui Yu, Yu Yan:
Energy-Efficient Resource Allocation for Uplink Multi-User MIMO SC-FDMA Systems. ICCT 2021: 942-946 - 2020
- [j5]Liming Zhong, Yanlin Chen, Xiao Zhang, Shupeng Liu, Yuankui Wu, Yunbi Liu, Liyan Lin, Qianjin Feng, Wufan Chen, Wei Yang:
Flexible Prediction of CT Images From MRI Data Through Improved Neighborhood Anchored Regression for PET Attenuation Correction. IEEE J. Biomed. Health Informatics 24(4): 1114-1124 (2020) - [j4]Liyan Lin, Xi Tao, Shumao Pang, Zhihai Su, Hai Lu, Shuo Li, Qianjin Feng, Bo Chen:
Multiple Axial Spine Indices Estimation via Dense Enhancing Network With Cross-Space Distance-Preserving Regularization. IEEE J. Biomed. Health Informatics 24(11): 3248-3257 (2020)
2010 – 2019
- 2019
- [j3]Shumao Pang, Zhentai Lu, Jun Jiang, Lei Zhao, Liyan Lin, Xueli Li, Tao Lian, Meiyan Huang, Wei Yang, Qianjin Feng:
Hippocampus Segmentation Based on Iterative Local Linear Mapping With Representative and Local Structure-Preserved Feature Embedding. IEEE Trans. Medical Imaging 38(10): 2271-2280 (2019) - 2018
- [j2]Wei Yang, Yunbi Liu, Liyan Lin, Zhaoqiang Yun, Zhentai Lu, Qianjin Feng, Wufan Chen:
Lung Field Segmentation in Chest Radiographs From Boundary Maps by a Structured Edge Detector. IEEE J. Biomed. Health Informatics 22(3): 842-851 (2018) - [j1]Wei Yang, Liming Zhong, Yang Chen, Liyan Lin, Zhentai Lu, Shupeng Liu, Yao Wu, Qianjin Feng, Wufan Chen:
Predicting CT Image From MRI Data Through Feature Matching With Learned Nonlinear Local Descriptors. IEEE Trans. Medical Imaging 37(4): 977-987 (2018) - 2016
- [c1]Liming Zhong, Liyan Lin, Zhentai Lu, Yao Wu, Zixiao Lu, Meiyan Huang, Wei Yang, Qianjing Feng:
Predict CT image from MRI data using KNN-regression with learned local descriptors. ISBI 2016: 743-746
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last updated on 2024-08-07 22:26 CEST by the dblp team
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