A Dynamic CT Image Reconstruction Method by Inducing Prior Information from PCA Analysis. - Xun Jia; Yifei Lou; Ruijiang Li; Xuejun Gu; John Levis; Steve B. Jiang (ICMLA, 2009)

4D Computed Tomography Reconstruction from Few-Projection Data via Temporal Non-local Regularization. - Xun Jia; Yifei Lou; Bin Dong 001; Zhen Tian; Steve B. Jiang (MICCAI (1), 2010)

Single-Projection Based Volumetric Image Reconstruction and 3D Tumor Localization in Real Time for Lung Cancer Radiotherapy. - Ruijiang Li; Xun Jia; John H. Lewis; Xuejun Gu; Michael Folkerts; Chunhua Men; Steve B. Jiang (MICCAI (3), 2010)

Joint CT/CBCT deformable registration and CBCT enhancement for cancer radiotherapy. - Yifei Lou; Tianye Niu; Xun Jia; Patricio A. Vela; Lei Zhu 001; Allen R. Tannenbaum (Medical Image Anal., 2013)

Binary Level-Set Shape Optimization Model and Algorithm for Volumetric Modulated Arc Therapy in Radiotherapy Treatment. - Li-Tien Cheng; Bin Dong 001; Chunhua Men; Xun Jia; Steve B. Jiang (SIAM J. Sci. Comput., 2013)

Cine Cone Beam CT Reconstruction Using Low-Rank Matrix Factorization: Algorithm and a Proof-of-Principle Study. - Jian-Feng Cai 001; Xun Jia; Hao Gao; Steve B. Jiang; Zuowei Shen; Hongkai Zhao (IEEE Trans. Medical Imaging, 2014)

A High-Performance Accelerator for Floating-Point Matrix Multiplication. - Xun Jia; Guiming Wu; Xianghui Xie 001 (ISPA/IUCC, 2017)

Dose Prediction with U-net: A Feasibility Study for Predicting Dose Distributions from Contours using Deep Learning on Prostate IMRT Patients. - Dan Nguyen; Troy Long; Xun Jia; Weiguo Lu; Xuejun Gu; Zohaib Iqbal; Steve B. Jiang (CoRR, 2017)

Z-Index Parameterization for Volumetric CT Image Reconstruction via 3-D Dictionary Learning. - Ti Bai; Hao Yan; Xun Jia; Steve B. Jiang; Ge Wang 001; Xuanqin Mou (IEEE Trans. Medical Imaging, 2017)

Three-Dimensional Radiotherapy Dose Prediction on Head and Neck Cancer Patients with a Hierarchically Densely Connected U-net Deep Learning Architecture. - Dan Nguyen; Xun Jia; David J. Sher; Mu-Han Lin; Zohaib Iqbal; Hui Liu; Steve B. Jiang (CoRR, 2018)

Exploring high-performance processor architecture beyond the exascale. - Xiang-Hui Xie 001; Xun Jia (Frontiers Inf. Technol. Electron. Eng., 2018)

Multienergy Cone-Beam Computed Tomography Reconstruction with a Spatial Spectral Nonlocal Means Algorithm. - Bin Li 047; Chenyang Shen; Yujie Chi; Ming Yang; Yifei Lou; Linghong Zhou; Xun Jia (SIAM J. Imaging Sci., 2018)

Physics Model-Based Scatter Correction in Multi-Source Interior Computed Tomography. - Hao Gong 001; Bin Li 047; Xun Jia; Guohua Cao (IEEE Trans. Medical Imaging, 2018)

Intelligent Parameter Tuning in Optimization-Based Iterative CT Reconstruction via Deep Reinforcement Learning. - Chenyang Shen; Yesenia Gonzalez; Liyuan Chen; Steve B. Jiang; Xun Jia (IEEE Trans. Medical Imaging, 2018)

Individualized 3D Dose Distribution Prediction Using Deep Learning. - Jianhui Ma; Ti Bai; Dan Nguyen; Michael Folkerts; Xun Jia; Weiguo Lu; Linghong Zhou; Steve B. Jiang (AIRT@MICCAI, 2019)

Generating Pareto Optimal Dose Distributions for Radiation Therapy Treatment Planning. - Dan Nguyen; Azar Sadeghnejad-Barkousaraie; Chenyang Shen; Xun Jia; Steve B. Jiang (MICCAI (6), 2019)

A Neural Network Approach for Image Reconstruction from a Single X-Ray Projection. - Samiha Rouf; Chenyang Shen; Yan Cao; Conner Davis; Xun Jia; Yifei Lou (MIUA, 2019)

Balancing Robustness and Responsiveness in a Real-time Indoor Location System using Bluetooth Low Energy Technology and Deep Learning to Facilitate Clinical Applications. - Guanglin Tang; Yulong Yan; Chenyang Shen; Xun Jia; Meyer Zinn; Zipalkumar Trivedi; Alicia Yingling; Kenneth Westover; Steve B. Jiang (CoRR, 2019)

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. - Dan Nguyen; Rafe McBeth; Azar Sadeghnejad-Barkousaraie; Gyanendra Bohara; Chenyang Shen; Xun Jia; Steve B. Jiang (CoRR, 2019)

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). - Xun Jia; Lei Qian; Guiming Wu; Dong Wu; Xianghui Xie 001 (计算机科学, 2019)

Performance Evaluation of a GPU-based Monte Carlo Simulation Package for Water Radiolysis with sub-MeV Electrons. - Min-Yu Tsai; Youfang Lai; Yujie Chi; Xun Jia; Shih-Hao Hung (RACS, 2020)

A manifold learning regularization approach to enhance 3D CT image-based lung nodule classification. - Ying Ren; Min-Yu Tsai; Liyuan Chen; Jing Wang 022; Shulong Li; Yufei Liu; Xun Jia; Chenyang Shen (Int. J. Comput. Assist. Radiol. Surg., 2020)

Scatter correction based on adaptive photon path-based Monte Carlo simulation method in Multi-GPU platform. - Yangmei Zhang; Yusi Chen; Anni Zhong; Xun Jia; Shuyu Wu; Hongliang Qi; Linghong Zhou; Yuan Xu (Comput. Methods Programs Biomed., 2020)

Feasibility study of a multi-criteria decision-making based hierarchical model for multi-modality feature and multi-classifier fusion: Applications in medical prognosis prediction. - Qiang He; Xin Li; D. W. Nathan Kim; Xun Jia; Xuejun Gu; Xin Zhen; Linghong Zhou (Inf. Fusion, 2020)

Synergizing medical imaging and radiotherapy with deep learning. - Hongming Shan; Xun Jia; Pingkun Yan; Yunyao Li 001; Harald Paganetti; Ge Wang 001 (Mach. Learn. Sci. Technol., 2020)

Noise Entangled GAN For Low-Dose CT Simulation. - Chuang Niu; Ge Wang 001; Pingkun Yan; Juergen Hahn; Youfang Lai; Xun Jia; Arjun Krishna; Klaus Mueller 001; Andreu Badal; Kyle J. Myers; Rongping Zeng (CoRR, 2021)

Image Synthesis for Data Augmentation in Medical CT using Deep Reinforcement Learning. - Arjun Krishna; Kedar Bartake; Chuang Niu; Ge Wang 001; Youfang Lai; Xun Jia; Klaus Mueller 001 (CoRR, 2021)

Using reinforcement learning to design an AI assistantfor a satisfying co-op experience. - Ajay Krishnan; Niranj Jyothish; Xun Jia (CoRR, 2021)

Semi-automatic sigmoid colon segmentation in CT for radiation therapy treatment planning via an iterative 2.5-D deep learning approach. - Yesenia Gonzalez; Chenyang Shen; Hyunuk Jung; Dan Nguyen; Steve B. Jiang; Kevin Albuquerque; Xun Jia (Medical Image Anal., 2021)

High-arousal positive emotion evoking is more effective in VR than on a 2D monitor based on computational affection. - Feng Liu 039; Yihao Zhou; Xun Jia; Hanyang Wang 001; Siyuan Shen; Aimin Zhou (CogSci, 2022)

Top-Level Design and Simulated Performance of the First Portable CT-MR Scanner. - Yuting Peng; Mengzhou Li; Jace Grandinetti; Ge Wang 001; Xun Jia (IEEE Access, 2022)

Development of metaverse for intelligent healthcare. - Ge Wang 001; Andreu Badal; Xun Jia; Jonathan S. Maltz; Klaus Mueller 001; Kyle J. Myers; Chuang Niu; Michael W. Vannier; Pingkun Yan; Zhou Yu; Rongping Zeng (Nat. Mac. Intell., 2022)

OPO-FCM: A Computational Affection Based OCC-PAD-OCEAN Federation Cognitive Modeling Approach. - Feng Liu 039; Han-Yang Wang 001; Siyuan Shen; Xun Jia; Jingyi Hu; Jia-Hao Zhang; Xi-Yi Wang; Ying Lei; Aimin Zhou; Jia-Yin Qi; Zhi-Bin Li (IEEE Trans. Comput. Soc. Syst., 2023)

Actor Critic with Experience Replay-based automatic treatment planning for prostate cancer intensity modulated radiotherapy. - Md Mainul Abrar; Parvat Sapkota; Damon Sprouts; Xun Jia; Yujie Chi (CoRR, 2025)

New Insights into Automatic Treatment Planning for Cancer Radiotherapy Using Explainable Artificial Intelligence. - Md Mainul Abrar; Xun Jia; Yujie Chi (CoRR, 2025)

Towards Human-Centric Intelligent Treatment Planning for Radiation Therapy. - Adnan Jafar; Xun Jia (CoRR, 2025)