Junchi Liu

20 papers B 6Journal 9Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Minors of a class of recursive matrices related to partial (x,y;a,b)-Motzkin paths.
Discret. Math.
Quanyu Li, Junchi Liu, Yidong Sun
2025 J jnl
CSTrans: cross-subdomain transformer for unsupervised domain adaptation.
Complex Intell. Syst.
Junchi Liu, Xiang Zhang, Zhigang Luo
2025 J jnl
SA-GAT-SR: Self-Adaptable Graph Attention Networks with Symbolic Regression for high-fidelity material property prediction.
CoRR
Junchi Liu, Ying Tang, Sergei Tretiak, Wenhui Duan, Liujiang Zhou
2024 J jnl
Atmospheric Light Estimation Using Polarization Degree Gradient for Image Dehazing.
Sensors
Shuai Liu, Hang Li, Jinyu Zhao, Junchi Liu, Youqiang Zhu, Zhenduo Zhang
2024 J jnl
TransConv: Transformer Meets Contextual Convolution for Unsupervised Domain Adaptation.
Entropy
Junchi Liu, Xiang Zhang, Zhigang Luo
2023 J jnl
Nonuniform Correction of Ground-Based Optical Telescope Image Based on Conditional Generative Adversarial Network.
Sensors
Xiangji Guo, Tao Chen, Junchi Liu, Yuan Liu, Qichang An, Chunfeng Jiang
2023 J jnl
Restoration of Spatially Variant Blurred Images with Wide-Field Telescope Based on Deep Learning.
Sensors
Yingmei Tian, Jianli Wang, Junchi Liu, Xiangji Guo
2022 J jnl
Dim Space Target Detection via Convolutional Neural Network in Single Optical Image.
IEEE Access
Xiangji Guo, Tao Chen, Junchi Liu, Yuan Liu, Qichang An
2022 B conf
Dose-Blind Denoising With Deep Learning in Cardiac Spect.
ICIP
Junchi Liu, Yongyi Yang, Miles N. Wernick, P. Hendrik Pretorius, Michael A. King
2021 B conf
Accounting For Inter-Subject Variations in Deep Learning for Reduced-Dose Studies in Cardiac SPECT.
ICIP
Junchi Liu, Yongyi Yang, Miles N. Wernick, P. Hendrik Pretorius, Michael A. King
2021 — conf
Improving Diagnostic Accuracy Of Reduced-Dose Studies With Full-Dose Noise-To-Noise Learning In Cardiac Spect.
ISBI
Junchi Liu, Yongyi Yang, Miles N. Wernick, P. Hendrik Pretorius, Michael A. King
2021 — conf
PageRank Centrality based Graph Convolutional Networks for Semi-supervised Node Classification.
ICCSE
Lei Chen, Junchi Liu, Xueyuan Zhang, Qifeng Zhou
2020 B conf
Artifact reduction in brain magnetic resonance imaging (MRI) by means of a dense residual network with K-space blending (DRN-KB).
Image Processing
Junchi Liu, Jie Deng
2018 — conf
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.
Computer-Aided Diagnosis
Noriaki Hashimoto, Kenji Suzuki, Junchi Liu, Yasushi Hirano, Heber MacMahon, Shoji Kido
2018 J jnl
Mixed L
Signal Image Video Process.
Nian Cai, Qian Ye, Jing Wang, Guandong Cen, Junchi Liu, Han Wang, Bingo Wing-Kuen Ling
2018 B conf
Mixture of Deep-Learning Experts for Separation of Bones from Soft Tissue in Chest Radiographs.
SMC
Amin Zarshenas, Junchi Liu, Paul Forti, Kenji Suzuki
2018 B conf
Radiation dose reduction in digital breast tomosynthesis (DBT) by means of deep-learning-based supervised image processing.
Image Processing
Junchi Liu, Amin Zarshenas, Ammar Qadir, Zheng Wei, Limin Yang, Laurie Lee Fajardo, Kenji Suzuki
2018 — conf
Radiation dose reduction in digital breast tomosynthesis (DBT) by means of neural network convolution (NNC) deep learning.
IWBI
Junchi Liu, Amin Zarshenas, Syed Ammar Qadir, Limin Yang, Laurie Lee Fajardo, Kenji Suzuki
2017 — conf
Neural Network Convolution (NNC) for Converting Ultra-Low-Dose to "Virtual" High-Dose CT Images.
MLMI@MICCAI
Kenji Suzuki, Junchi Liu, Amin Zarshenas, Toru Higaki, Wataru Fukumoto, Kazuo Awai
2015 B conf
Development of Computer-Aided Diagnostic (CADx) System for Distinguishing Neoplastic from Nonneoplastic Lesions in CT Colonography (CTC): Toward CTC beyond Detection.
SMC
Kenji Suzuki, Mohammadamin Zarshenas, Junchi Liu, Yonghui Fan, Nazanin Makkinejad, Paul Forti, Abraham H. Dachman