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2020 – today
- 2023
[j17]Feng Liu
, Han-Yang 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): 1813-1825 (2023)- 2022
- [j16]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: 102325-102333 (2022) - [j15]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): 922-929 (2022) - [c9]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 - 2021
- [j14]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: 101896 (2021) - [i8]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 abs/2102.09615 (2021) - [i7]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 abs/2103.10493 (2021) - [i6]Ajay Krishnan, Niranj Jyothish, Xun Jia:
Using reinforcement learning to design an AI assistantfor a satisfying co-op experience. CoRR abs/2105.03414 (2021) - 2020
- [j13]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): 287-295 (2020) - [j12]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: 105487 (2020) - [j11]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: 207-219 (2020) - [j10]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): 21001 (2020) - [c8]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: 226-233
2010 – 2019
- 2019
- [j9]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): 11-19 (2019) - [c7]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: 59-67 - [c6]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: 110-118 - [c5]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: 208-219 - [i5]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 abs/1907.10554 (2019) - [i4]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 abs/1908.05874 (2019) - 2018
- [j8]Xiang-Hui Xie, Xun Jia:
Exploring high-performance processor architecture beyond the exascale. Frontiers Inf. Technol. Electron. Eng. 19(10): 1224-1229 (2018) - [j7]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): 1205-1229 (2018) - [j6]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): 349-360 (2018) - [j5]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): 1430-1439 (2018) - [i3]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 abs/1805.10397 (2018) - 2017
- [j4]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): 2466-2478 (2017) - [c4]Xun Jia, Guiming Wu, Xianghui Xie:
A High-Performance Accelerator for Floating-Point Matrix Multiplication. ISPA/IUCC 2017: 396-402 - [i2]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 abs/1709.09233 (2017) - [i1]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 abs/1711.00414 (2017) - 2014
- [j3]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): 1581-1591 (2014) - 2013
- [j2]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): 387-400 (2013) - [j1]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) - 2010
- [c3]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: 143-150 - [c2]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: 449-456
2000 – 2009
- 2009
- [c1]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: 473-477
Coauthor Index
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