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ORCIDJunchi Liu
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2020 – today
- 2024
[j6]Junchi Liu
, Xiang Zhang, Zhigang Luo:
TransConv: Transformer Meets Contextual Convolution for Unsupervised Domain Adaptation. Entropy 26(6): 469 (2024)- [j5]Shuai Liu, Hang Li, Jinyu Zhao, Junchi Liu, Youqiang Zhu, Zhenduo Zhang:
Atmospheric Light Estimation Using Polarization Degree Gradient for Image Dehazing. Sensors 24(10): 3137 (2024) - 2023
- [j4]Xiangji Guo, Tao Chen, Junchi Liu, Yuan Liu, Qichang An, Chunfeng Jiang:
Nonuniform Correction of Ground-Based Optical Telescope Image Based on Conditional Generative Adversarial Network. Sensors 23(3): 1086 (2023) - [j3]Yingmei Tian, Jianli Wang, Junchi Liu, Xiangji Guo:
Restoration of Spatially Variant Blurred Images with Wide-Field Telescope Based on Deep Learning. Sensors 23(7): 3745 (2023) - 2022
- [j2]Xiangji Guo, Tao Chen, Junchi Liu, Yuan Liu, Qichang An:
Dim Space Target Detection via Convolutional Neural Network in Single Optical Image. IEEE Access 10: 52306-52318 (2022) - [c11]Junchi Liu, Yongyi Yang, Miles N. Wernick, P. Hendrik Pretorius, Michael A. King:
Dose-Blind Denoising With Deep Learning in Cardiac Spect. ICIP 2022: 1666-1670 - 2021
- [c10]Lei Chen, Junchi Liu, Xueyuan Zhang, Qifeng Zhou:
PageRank Centrality based Graph Convolutional Networks for Semi-supervised Node Classification. ICCSE 2021: 518-523 - [c9]Junchi Liu, Yongyi Yang, Miles N. Wernick, P. Hendrik Pretorius, Michael A. King:
Accounting For Inter-Subject Variations in Deep Learning for Reduced-Dose Studies in Cardiac SPECT. ICIP 2021: 2913-2917 - [c8]Junchi Liu, Yongyi Yang, Miles N. Wernick, P. Hendrik Pretorius, Michael A. King:
Improving Diagnostic Accuracy Of Reduced-Dose Studies With Full-Dose Noise-To-Noise Learning In Cardiac Spect. ISBI 2021: 1173-1176 - 2020
- [c7]Junchi Liu, Jie Deng:
Artifact reduction in brain magnetic resonance imaging (MRI) by means of a dense residual network with K-space blending (DRN-KB). Medical Imaging: Image Processing 2020: 113130N
2010 – 2019
- 2018
- [j1]Nian Cai, Qian Ye, Jing Wang, Guandong Cen, Junchi Liu, Han Wang, Bingo Wing-Kuen Ling:
Mixed L1 norm and L2 norm regularized sparsity adaptive matching pursuit algorithm. Signal Image Video Process. 12(1): 133-140 (2018) - [c6]Junchi Liu, Amin Zarshenas, Syed Ammar Qadir, Limin Yang, Laurie Lee Fajardo, Kenji Suzuki:
Radiation dose reduction in digital breast tomosynthesis (DBT) by means of neural network convolution (NNC) deep learning. IWBI 2018: 1071814 - [c5]Noriaki Hashimoto, Kenji Suzuki, Junchi Liu, Yasushi Hirano, Heber MacMahon, Shoji Kido:
Deep neural network convolution (NNC) for three-class classification of diffuse lung disease opacities in high-resolution CT (HRCT): Consolidation, ground-glass opacity (GGO), and normal opacity. Medical Imaging: Computer-Aided Diagnosis 2018: 1057536 - [c4]Junchi Liu, Amin Zarshenas, Ammar Qadir, Zheng Wei, Limin Yang, Laurie Lee Fajardo, Kenji Suzuki:
Radiation dose reduction in digital breast tomosynthesis (DBT) by means of deep-learning-based supervised image processing. Medical Imaging: Image Processing 2018: 105740F - [c3]Amin Zarshenas, Junchi Liu, Paul Forti, Kenji Suzuki:
Mixture of Deep-Learning Experts for Separation of Bones from Soft Tissue in Chest Radiographs. SMC 2018: 1321-1326 - 2017
- [c2]Kenji Suzuki, Junchi Liu, Amin Zarshenas, Toru Higaki, Wataru Fukumoto, Kazuo Awai:
Neural Network Convolution (NNC) for Converting Ultra-Low-Dose to "Virtual" High-Dose CT Images. MLMI@MICCAI 2017: 334-343 - 2015
- [c1]Kenji Suzuki, Mohammadamin Zarshenas, Junchi Liu, Yonghui Fan, Nazanin Makkinejad, Paul Forti, Abraham H. Dachman:
Development of Computer-Aided Diagnostic (CADx) System for Distinguishing Neoplastic from Nonneoplastic Lesions in CT Colonography (CTC): Toward CTC beyond Detection. SMC 2015: 2262-2266
Coauthor Index
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