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Xun Jia
ORCID
Publication Activity (10 Years)
Years Active: 2009-2023
Publications (10 Years): 28
Top Topics
Deep Learning
Cone Beam
Monte Carlo Simulation
Image Reconstruction
Top Venues
CoRR
IEEE Trans. Medical Imaging
SIAM J. Imaging Sci.
RACS
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Publications
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Feng Liu
,
Hanyang Wang
,
Siyuan Shen
,
Xun Jia
,
Jingyi Hu
,
Jia-Hao Zhang
,
Xi-Yi Wang
,
Ying Lei
,
Aimin Zhou
,
Jia-Yin Qi
,
Zhi-Bin Li
OPO-FCM: A Computational Affection Based OCC-PAD-OCEAN Federation Cognitive Modeling Approach.
IEEE Trans. Comput. Soc. Syst.
10 (4) (2023)
Yuting Peng
,
Mengzhou Li
,
Jace Grandinetti
,
Ge Wang
,
Xun Jia
Top-Level Design and Simulated Performance of the First Portable CT-MR Scanner.
IEEE Access
10 (2022)
Ge Wang
,
Andreu Badal
,
Xun Jia
,
Jonathan S. Maltz
,
Klaus Mueller
,
Kyle J. Myers
,
Chuang Niu
,
Michael W. Vannier
,
Pingkun Yan
,
Zhou Yu
,
Rongping Zeng
Development of metaverse for intelligent healthcare.
Nat. Mac. Intell.
4 (11) (2022)
Feng Liu
,
Yihao Zhou
,
Xun Jia
,
Hanyang Wang
,
Siyuan Shen
,
Aimin Zhou
High-arousal positive emotion evoking is more effective in VR than on a 2D monitor based on computational affection.
CogSci
(2022)
Ajay Krishnan
,
Niranj Jyothish
,
Xun Jia
Using reinforcement learning to design an AI assistantfor a satisfying co-op experience.
CoRR
(2021)
Arjun Krishna
,
Kedar Bartake
,
Chuang Niu
,
Ge Wang
,
Youfang Lai
,
Xun Jia
,
Klaus Mueller
Image Synthesis for Data Augmentation in Medical CT using Deep Reinforcement Learning.
CoRR
(2021)
Chuang Niu
,
Ge Wang
,
Pingkun Yan
,
Juergen Hahn
,
Youfang Lai
,
Xun Jia
,
Arjun Krishna
,
Klaus Mueller
,
Andreu Badal
,
Kyle J. Myers
,
Rongping Zeng
Noise Entangled GAN For Low-Dose CT Simulation.
CoRR
(2021)
Yesenia Gonzalez
,
Chenyang Shen
,
Hyunuk Jung
,
Dan Nguyen
,
Steve B. Jiang
,
Kevin Albuquerque
,
Xun Jia
Semi-automatic sigmoid colon segmentation in CT for radiation therapy treatment planning via an iterative 2.5-D deep learning approach.
Medical Image Anal.
68 (2021)
Ying Ren
,
Min-Yu Tsai
,
Liyuan Chen
,
Jing Wang
,
Shulong Li
,
Yufei Liu
,
Xun Jia
,
Chenyang Shen
A manifold learning regularization approach to enhance 3D CT image-based lung nodule classification.
Int. J. Comput. Assist. Radiol. Surg.
15 (2) (2020)
Yangmei Zhang
,
Yusi Chen
,
Anni Zhong
,
Xun Jia
,
Shuyu Wu
,
Hongliang Qi
,
Linghong Zhou
,
Yuan Xu
Scatter correction based on adaptive photon path-based Monte Carlo simulation method in Multi-GPU platform.
Comput. Methods Programs Biomed.
194 (2020)
Qiang He
,
Xin Li
,
D. W. Nathan Kim
,
Xun Jia
,
Xuejun Gu
,
Xin Zhen
,
Linghong Zhou
Feasibility study of a multi-criteria decision-making based hierarchical model for multi-modality feature and multi-classifier fusion: Applications in medical prognosis prediction.
Inf. Fusion
55 (2020)
Hongming Shan
,
Xun Jia
,
Pingkun Yan
,
Yunyao Li
,
Harald Paganetti
,
Ge Wang
Synergizing medical imaging and radiotherapy with deep learning.
Mach. Learn. Sci. Technol.
1 (2) (2020)
Min-Yu Tsai
,
Youfang Lai
,
Yujie Chi
,
Xun Jia
,
Shih-Hao Hung
Performance Evaluation of a GPU-based Monte Carlo Simulation Package for Water Radiolysis with sub-MeV Electrons.
RACS
(2020)
Guanglin Tang
,
Yulong Yan
,
Chenyang Shen
,
Xun Jia
,
Meyer Zinn
,
Zipalkumar Trivedi
,
Alicia Yingling
,
Kenneth Westover
,
Steve B. Jiang
Balancing Robustness and Responsiveness in a Real-time Indoor Location System using Bluetooth Low Energy Technology and Deep Learning to Facilitate Clinical Applications.
CoRR
(2019)
Samiha Rouf
,
Chenyang Shen
,
Yan Cao
,
Conner Davis
,
Xun Jia
,
Yifei Lou
A Neural Network Approach for Image Reconstruction from a Single X-Ray Projection.
MIUA
(2019)
Dan Nguyen
,
Rafe McBeth
,
Azar Sadeghnejad-Barkousaraie
,
Gyanendra Bohara
,
Chenyang Shen
,
Xun Jia
,
Steve B. Jiang
Incorporating human and learned domain knowledge into training deep neural networks: A differentiable dose volume histogram and adversarial inspired framework for generating Pareto optimal dose distributions in radiation therapy.
CoRR
(2019)
Dan Nguyen
,
Azar Sadeghnejad-Barkousaraie
,
Chenyang Shen
,
Xun Jia
,
Steve B. Jiang
Generating Pareto Optimal Dose Distributions for Radiation Therapy Treatment Planning.
MICCAI (6)
(2019)
Xun Jia
,
Lei Qian
,
Guiming Wu
,
Dong Wu
,
Xianghui Xie
FPGA应用于高性能计算的研究现状和未来挑战 (Research Advances and Future Challenges of FPGA-based High Performance Computing).
计算机科学
46 (11) (2019)
Jianhui Ma
,
Ti Bai
,
Dan Nguyen
,
Michael Folkerts
,
Xun Jia
,
Weiguo Lu
,
Linghong Zhou
,
Steve B. Jiang
Individualized 3D Dose Distribution Prediction Using Deep Learning.
AIRT@MICCAI
(2019)
Xiang-Hui Xie
,
Xun Jia
Exploring high-performance processor architecture beyond the exascale.
Frontiers Inf. Technol. Electron. Eng.
19 (10) (2018)
Bin Li
,
Chenyang Shen
,
Yujie Chi
,
Ming Yang
,
Yifei Lou
,
Linghong Zhou
,
Xun Jia
Multienergy Cone-Beam Computed Tomography Reconstruction with a Spatial Spectral Nonlocal Means Algorithm.
SIAM J. Imaging Sci.
11 (2) (2018)
Chenyang Shen
,
Yesenia Gonzalez
,
Liyuan Chen
,
Steve B. Jiang
,
Xun Jia
Intelligent Parameter Tuning in Optimization-Based Iterative CT Reconstruction via Deep Reinforcement Learning.
IEEE Trans. Medical Imaging
37 (6) (2018)
Dan Nguyen
,
Xun Jia
,
David J. Sher
,
Mu-Han Lin
,
Zohaib Iqbal
,
Hui Liu
,
Steve B. Jiang
Three-Dimensional Radiotherapy Dose Prediction on Head and Neck Cancer Patients with a Hierarchically Densely Connected U-net Deep Learning Architecture.
CoRR
(2018)
Hao Gong
,
Bin Li
,
Xun Jia
,
Guohua Cao
Physics Model-Based Scatter Correction in Multi-Source Interior Computed Tomography.
IEEE Trans. Medical Imaging
37 (2) (2018)
Dan Nguyen
,
Troy Long
,
Xun Jia
,
Weiguo Lu
,
Xuejun Gu
,
Zohaib Iqbal
,
Steve B. Jiang
Dose Prediction with U-net: A Feasibility Study for Predicting Dose Distributions from Contours using Deep Learning on Prostate IMRT Patients.
CoRR
(2017)
Chenyang Shen
,
Yesenia Gonzalez
,
Liyuan Chen
,
Steve B. Jiang
,
Xun Jia
Intelligent Parameter Tuning in Optimization-based Iterative CT Reconstruction via Deep Reinforcement Learning.
CoRR
(2017)
Ti Bai
,
Hao Yan
,
Xun Jia
,
Steve B. Jiang
,
Ge Wang
,
Xuanqin Mou
Z-Index Parameterization for Volumetric CT Image Reconstruction via 3-D Dictionary Learning.
IEEE Trans. Medical Imaging
36 (12) (2017)
Xun Jia
,
Guiming Wu
,
Xianghui Xie
A High-Performance Accelerator for Floating-Point Matrix Multiplication.
ISPA/IUCC
(2017)
Jian-Feng Cai
,
Xun Jia
,
Hao Gao
,
Steve B. Jiang
,
Zuowei Shen
,
Hongkai Zhao
Cine Cone Beam CT Reconstruction Using Low-Rank Matrix Factorization: Algorithm and a Proof-of-Principle Study.
IEEE Trans. Medical Imaging
33 (8) (2014)
Yifei Lou
,
Tianye Niu
,
Xun Jia
,
Patricio A. Vela
,
Lei Zhu
,
Allen R. Tannenbaum
Joint CT/CBCT deformable registration and CBCT enhancement for cancer radiotherapy.
Medical Image Anal.
17 (3) (2013)
Li-Tien Cheng
,
Bin Dong
,
Chunhua Men
,
Xun Jia
,
Steve B. Jiang
Binary Level-Set Shape Optimization Model and Algorithm for Volumetric Modulated Arc Therapy in Radiotherapy Treatment.
SIAM J. Sci. Comput.
35 (6) (2013)
Xun Jia
,
Yifei Lou
,
Bin Dong
,
Zhen Tian
,
Steve B. Jiang
4D Computed Tomography Reconstruction from Few-Projection Data via Temporal Non-local Regularization.
MICCAI (1)
(2010)
Ruijiang Li
,
Xun Jia
,
John H. Lewis
,
Xuejun Gu
,
Michael Folkerts
,
Chunhua Men
,
Steve B. Jiang
Single-Projection Based Volumetric Image Reconstruction and 3D Tumor Localization in Real Time for Lung Cancer Radiotherapy.
MICCAI (3)
(2010)
Xun Jia
,
Yifei Lou
,
Ruijiang Li
,
Xuejun Gu
,
John Levis
,
Steve B. Jiang
A Dynamic CT Image Reconstruction Method by Inducing Prior Information from PCA Analysis.
ICMLA
(2009)