Xinyuan Chen

发表

Prediction of Radiation Pneumonitis With Dose Distribution: A Convolutional Neural Network (CNN) Based Model

J. Dai, Hui Yan, Zongmei Zhou, 2020, Frontiers in Oncology.

Dual-energy imaging method to improve the image quality and the accuracy of dose calculation for cone-beam computed tomography.

P. Huang, J. Dai, Ke Zhang, 2017, Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics.

Evaluation of Automatic Segmentation Model With Dosimetric Metrics for Radiotherapy of Esophageal Cancer

J. Dai, K. Men, Ji Zhu, 2020, Frontiers in Oncology.

A Method to Improve Electron Density Measurement of Cone-Beam CT Using Dual Energy Technique

P. Huang, J. Dai, Ke Zhang, 2015, BioMed research international.

A new homogeneity index definition for evaluation of radiotherapy plans

J. Dai, Bin Liang, Xinyuan Chen, 2019, Journal of applied clinical medical physics.

A feasible study on using multiplexed sensitivity-encoding to reduce geometric distortion in diffusion-weighted echo planar imaging.

P. Huang, J. Dai, Q. Feng, 2018, Magnetic resonance imaging.

Deep Deconvolutional Neural Network for Target Segmentation of Nasopharyngeal Cancer in Planning Computed Tomography Images

Tao Zhang, Ye Zhang, Kuo Men, 2017, Front. Oncol..

A plan verification platform for online adaptive proton therapy using deep learning-based Monte-Carlo denoising.

J. Dai, K. Men, Xinyuan Chen, 2022, Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics.

A more effective CT synthesizer using transformers for cone-beam CT-guided adaptive radiotherapy

J. Dai, K. Men, Ji Zhu, 2022, Frontiers in Oncology.

A feasible method to evaluate deformable image registration with deep learning-based segmentation.

J. Dai, K. Men, Ji Zhu, 2022, Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics.

Dosiomics: Extracting 3D Spatial Features From Dose Distribution to Predict Incidence of Radiation Pneumonitis

Tao Zhang, Hui Yan, Jianrong Dai, 2019, Front. Oncol..

A Deep Learning Model to Predict Dose-Volume Histograms of Organs at Risk in Radiotherapy Treatment Plans.

Kuo Men, Zhiqiang Liu, Jianrong Dai, 2020, Medical physics.

CNN-Based Quality Assurance for Automatic Segmentation of Breast Cancer in Radiotherapy

Bo Chen, Tao Zhang, Xinyuan Chen, 2020, Frontiers in Oncology.

A feasibility study on an automated method to generate patient‐specific dose distributions for radiotherapy using deep learning

Kuo Men, Jianrong Dai, Xinyuan Chen, 2018, Medical physics.

Real-time 3D MRI reconstruction from cine-MRI using unsupervised network in MRI-guided radiotherapy for liver cancer.

J. Dai, K. Men, Bin Liang, 2022, Medical Physics (Lancaster).

Technical Note: A method to synthesize magnetic resonance images in different patient rotation angles with deep learning for gantry-free radiotherapy.

J. Dai, K. Men, Xinyuan Chen, 2022, Medical Physics (Lancaster).

MRI-Only Radiotherapy Planning for Nasopharyngeal Carcinoma Using Deep Learning

J. Dai, K. Men, Xinyuan Chen, 2021, Frontiers in Oncology.

Continual improvement of nasopharyngeal carcinoma segmentation with less labeling effort.

Kuo Men, Ji Zhu, Xinyuan Chen, 2020, Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics.

Deep Learning Improved Clinical Target Volume Contouring Quality and Efficiency for Postoperative Radiation Therapy in Non-small Cell Lung Cancer

Jianrong Dai, Xinyuan Chen, Junjie Miao, 2019, Front. Oncol..

A deep-learning method for generating synthetic kV-CT and improving tumor segmentation for helical tomotherapy of nasopharyngeal carcinoma

J. Dai, Zhihui Hu, K. Men, 2021, Physics in medicine and biology.

Longitudinal Grouping of Target Volumes for Volumetric-Modulated Arc Therapy of Multiple Brain Metastases

J. Dai, K. Men, Qingfeng Liu, 2021, Frontiers in Oncology.

Noncoplanar intensity‐modulated radiation therapy for young female patients with mediastinal lymphoma

Jianrong Dai, Xinyuan Chen, Peng Huang, 2012, Journal of applied clinical medical physics.

Fully automatic and robust segmentation of the clinical target volume for radiotherapy of breast cancer using big data and deep learning.

Tao Zhang, Yu Tang, Kuo Men, 2018, Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics.

A two-step method to improve image quality of CBCT with phantom-based supervised and patient-based unsupervised learning strategies

J. Dai, K. Men, Ji Zhu, 2022, Physics in medicine and biology.

Ultrasound-guided intraoperative electron beam radiation therapy: A phantom study.

Yuan Tian, Jianrong Dai, Pan Ma, 2020, Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics.

Deep learning improves image quality and radiomics reproducibility for high-speed four-dimensional computed tomography reconstruction.

J. Dai, K. Men, Xinyuan Chen, 2022, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

Automatic segmentation of three clinical target volumes in radiotherapy using lifelong learning.

J. Dai, K. Men, Shulian Wang, 2021, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

Investigating transfer learning to improve the deep-learning-based segmentation of organs at risk among different medical centers for nasopharyngeal carcinoma

J. Zhang, K. Men, J. Yi, 2023, Frontiers in Physics.

Personalized auto-segmentation for magnetic resonance imaging guided adaptive radiotherapy of prostate cancer.

J. Dai, K. Men, Jianyang Wang, 2022, Medical physics.

Combining distance and anatomical information for deep-learning based dose distribution predictions for nasopharyngeal cancer radiotherapy planning

J. Dai, K. Men, Ji Zhu, 2023, Frontiers in Oncology.

Comprehensive evaluation of similarity between synthetic and real CT images for nasopharyngeal carcinoma

K. Men, Ji Zhu, Xinyuan Chen, 2023, Radiation Oncology.

Improvement of accumulated dose distribution in combined cervical cancer radiotherapy with deep learning–based dose prediction

K. Men, Qi Fu, Xinyuan Chen, 2024, Frontiers in oncology.

Improving accelerated 3D imaging in MRI-guided radiotherapy for prostate cancer using a deep learning method

Zhihui Hu, K. Men, Ji Zhu, 2023, Radiation Oncology.