Hongshan Liu

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 14

Top Topics

Myocardial Perfusion

Sparse Representation

Top Venues

IEEE Trans. Biomed. Eng.

Publications

Hongshan Liu, Tong Qin, Zhen Gao, Keke Ying, Ziwei Wan, Jingjing Zhao, Rui Na, Zhongxiang Li, Gaojie Chen, Chun Hu, Ruiqi Liu, Yikun Mei, Tuan Li, Tianqi Mao, Shuo Wang, Dezhi Zheng
Near-Space Communications: The Last Piece of 6G Space-Air-Ground-Sea Integrated Network Puzzle. CoRR (2024)
Ruxin Zheng, Shunqiao Sun, Hongshan Liu, Teresa Wu
Deep-Neural-Network-Enabled Vehicle Detection Using High-Resolution Automotive Radar Imaging. IEEE Trans. Aerosp. Electron. Syst. 59 (5) (2023)
Daozong Sun, Rongxin Luo, Qi Guo, Jiaxing Xie, Hongshan Liu, Shilei Lyu, Xiuyun Xue, Zhen Li, Shuran Song
A University Student Performance Prediction Model and Experiment Based on Multi-Feature Fusion and Attention Mechanism. IEEE Access 11 (2023)
Xueshen Li, Hongshan Liu, Xiaoyu Song, Brigitta C. Brott, Silvio H. Litovsky, Yu Gan
Structural Constrained Virtual Histology Staining for Human Coronary Imaging Using Deep Learning. ISBI (2023)
Xueshen Li, Hongshan Liu, Xiaoyu Song, Brigitta C. Brott, Silvio H. Litovsky, Yu Gan
SCPAT-GAN: Structural Constrained and Pathology Aware Convolutional Transformer-GAN for Virtual Histology Staining of Human Coronary OCT images. CoRR (2023)
Xueshen Li, Zhenxing Dong, Hongshan Liu, Jennifer J. Kang-Mieler, Yuye Ling, Yu Gan
Frequency-aware optical coherence tomography image super-resolution via conditional generative adversarial neural network. CoRR (2023)
Ruxin Zheng, Hongshan Liu, Shunqiao Sun, Jian Li
Deep Learning Based Computationally Efficient Unrolling IAA for Direction-of-Arrival Estimation. EUSIPCO (2023)
Hongshan Liu, Colin Aderon, Noah Wagon, Huapu Liu, Steven MacCall, Yu Gan
Deep Learning-based Automatic Player Identification and Logging in American Football Videos. CoRR (2022)
Xueshen Li, Shengting Cao, Hongshan Liu, Xinwen Yao, Brigitta C. Brott, Silvio H. Litovsky, Xiaoyu Song, Yuye Ling, Yu Gan
Multi-Scale Reconstruction of Undersampled Spectral-Spatial OCT Data for Coronary Imaging Using Deep Learning. IEEE Trans. Biomed. Eng. 69 (12) (2022)
Ruxin Zheng, Hongshan Liu, Shunqiao Sun
A Deep Learning Approach for Doppler Unfolding in Automotive TDM MIMO Radar. IEEECONF (2022)
Xueshen Li, Shengting Cao, Hongshan Liu, Xinwen Yao, Brigitta C. Brott, Silvio H. Litovsky, Xiaoyu Song, Yuye Ling, Yu Gan
Multi-scale reconstruction of undersampled spectral-spatial OCT data for coronary imaging using deep learning. CoRR (2022)
Yaoqi Tang, Yufan Li, Hongshan Liu, Jiaxuan Li, Peiyao Jin, Yu Gan, Yuye Ling, Yikai Su
Multi-scale sparse representation-based shadow inpainting for retinal OCT images. Medical Imaging: Image Processing (2022)
Yaoqi Tang, Yufan Li, Hongshan Liu, Jiaxuan Li, Peiyao Jin, Yu Gan, Yuye Ling, Yikai Su
Multi-scale Sparse Representation-Based Shadow Inpainting for Retinal OCT Images. CoRR (2022)
Xueshen Li, Hongshan Liu, Xiaoyu Song, Brigitta C. Brott, Silvio H. Litovsky, Yu Gan
Structural constrained virtual histology staining for human coronary imaging using deep learning. CoRR (2022)
Yili Fu, Peng Wang, Shuguo Wang, Hongshan Liu, Fuxiang Zhang
Design and development of a portable exoskeleton based CPM machine for rehabilitation of hand injuries. ROBIO (2007)