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Junchi Liu
ORCID
Publication Activity (10 Years)
Years Active: 2015-2023
Publications (10 Years): 15
Top Topics
Ct Colonography
Deep Learning
Radiation Dose
Denoising
Top Venues
SMC
ICIP
Sensors
Medical Imaging: Image Processing
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Publications
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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)