Xun Jia
Orcid: 0000-0001-6159-2909
According to our database1,
Xun Jia
authored at least 32 papers
between 2009 and 2023.
Collaborative distances:
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Bibliography
2023
OPO-FCM: A Computational Affection Based OCC-PAD-OCEAN Federation Cognitive Modeling Approach.
IEEE Trans. Comput. Soc. Syst., August, 2023
2022
Nat. Mac. Intell., November, 2022
IEEE Access, 2022
2021
Semi-automatic sigmoid colon segmentation in CT for radiation therapy treatment planning via an iterative 2.5-D deep learning approach.
Medical Image Anal., 2021
Using reinforcement learning to design an AI assistantfor a satisfying co-op experience.
CoRR, 2021
Image Synthesis for Data Augmentation in Medical CT using Deep Reinforcement Learning.
CoRR, 2021
2020
Mach. Learn. Sci. Technol., 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.
Inf. Fusion, 2020
Scatter correction based on adaptive photon path-based Monte Carlo simulation method in Multi-GPU platform.
Comput. Methods Programs Biomed., 2020
A manifold learning regularization approach to enhance 3D CT image-based lung nodule classification.
Int. J. Comput. Assist. Radiol. Surg., 2020
Performance Evaluation of a GPU-based Monte Carlo Simulation Package for Water Radiolysis with sub-MeV Electrons.
Proceedings of the RACS '20: International Conference on Research in Adaptive and Convergent Systems, 2020
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).
计算机科学, 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.
CoRR, 2019
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
Proceedings of the Medical Image Understanding and Analysis - 23rd Conference, 2019
Generating Pareto Optimal Dose Distributions for Radiation Therapy Treatment Planning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the Artificial Intelligence in Radiation Therapy, 2019
2018
Intelligent Parameter Tuning in Optimization-Based Iterative CT Reconstruction via Deep Reinforcement Learning.
IEEE Trans. Medical Imaging, 2018
IEEE Trans. Medical Imaging, 2018
Multienergy Cone-Beam Computed Tomography Reconstruction with a Spatial Spectral Nonlocal Means Algorithm.
SIAM J. Imaging Sci., 2018
Frontiers Inf. Technol. Electron. Eng., 2018
Three-Dimensional Radiotherapy Dose Prediction on Head and Neck Cancer Patients with a Hierarchically Densely Connected U-net Deep Learning Architecture.
CoRR, 2018
2017
Z-Index Parameterization for Volumetric CT Image Reconstruction via 3-D Dictionary Learning.
IEEE Trans. Medical Imaging, 2017
Dose Prediction with U-net: A Feasibility Study for Predicting Dose Distributions from Contours using Deep Learning on Prostate IMRT Patients.
CoRR, 2017
Proceedings of the 2017 IEEE International Symposium on Parallel and Distributed Processing with Applications and 2017 IEEE International Conference on Ubiquitous Computing and Communications (ISPA/IUCC), 2017
2014
Cine Cone Beam CT Reconstruction Using Low-Rank Matrix Factorization: Algorithm and a Proof-of-Principle Study.
IEEE Trans. Medical Imaging, 2014
2013
Binary Level-Set Shape Optimization Model and Algorithm for Volumetric Modulated Arc Therapy in Radiotherapy Treatment.
SIAM J. Sci. Comput., 2013
Medical Image Anal., 2013
2010
Single-Projection Based Volumetric Image Reconstruction and 3D Tumor Localization in Real Time for Lung Cancer Radiotherapy.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010
4D Computed Tomography Reconstruction from Few-Projection Data via Temporal Non-local Regularization.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010
2009
A Dynamic CT Image Reconstruction Method by Inducing Prior Information from PCA Analysis.
Proceedings of the International Conference on Machine Learning and Applications, 2009