Junchi Liu

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 16

Top Topics

Ct Colonography

Top Venues

Medical Imaging: Image Processing

Publications

Junchi Liu, Xiang Zhang, Zhigang Luo
TransConv: Transformer Meets Contextual Convolution for Unsupervised Domain Adaptation. Entropy 26 (6) (2024)
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) (2024)
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) (2023)
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) (2023)
Junchi Liu, Yongyi Yang, Miles N. Wernick, P. Hendrik Pretorius, Michael A. King
Dose-Blind Denoising With Deep Learning in Cardiac Spect. ICIP (2022)
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 (2022)
Lei Chen, Junchi Liu, Xueyuan Zhang, Qifeng Zhou
PageRank Centrality based Graph Convolutional Networks for Semi-supervised Node Classification. ICCSE (2021)
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)
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)
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)
Nian Cai, Qian Ye, Jing Wang, Guandong Cen, Junchi Liu, Han Wang, Bingo Wing-Kuen Ling
norm regularized sparsity adaptive matching pursuit algorithm. Signal Image Video Process. 12 (1) (2018)
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)
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)
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)
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)
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)
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)