Chenyang Shen

发表

A machine-learning-based prediction model of fistula formation after interstitial brachytherapy for locally advanced gynecological malignancies.

Zhiguo Zhou, Z. Tian, A. Yen, 2019, Brachytherapy.

Full Monte Carlo-Based Biologic Treatment Plan Optimization System for Intensity Modulated Carbon Ion Therapy on Graphics Processing Unit.

Steve B. Jiang, X. Jia, Z. Tian, 2018, International journal of radiation oncology, biology, physics.

Experimental and numerical studies on kV scattered x-ray imaging for real-time image guidance in radiation therapy

X. Jia, Kai Yang, Chenyang Shen, 2020, Physics in medicine and biology.

Improving small animal cone beam CT resolution by mitigating x-ray focal spot induced blurring via deconvolution

Chenyang Shen, Yanqi Huang, Y. Zhong, 2022, Physics in medicine and biology.

The development of a deep reinforcement learning network for dose-volume-constrained treatment planning in prostate cancer intensity modulated radiotherapy

Chao Ching Wang, Chenyang Shen, Chao Wang, 2022, Biomedical physics & engineering express.

MULTI-ENERGY CONE-BEAM CT RECONSTRUCTION WITH A SPATIAL SPECTRAL NONLOCAL MEANS ALGORITHM

Y. Lou, Ming Yang, Chenyang Shen, 2018 .

Full Monte Carlo-based biological treatment plan optimization system for intensity modulated carbon ion therapy on GPU

Steve B. Jiang, X. Jia, Z. Tian, 2017 .

A method to reconstruct intra-fractional liver motion in rotational radiotherapy using linear fiducial markers

M. Folkert, X. Jia, Ming Yang, 2019, Physics in medicine and biology.

MR image reconstruction from undersampled data for image-guided radiation therapy using a patient-specific deep manifold image prior

Jie Deng, Chenyang Shen, Xun Jia, 2022, Frontiers in Oncology.

An introduction to deep learning in medical physics: advantages, potential, and challenges

Steve B. Jiang, Xun Jia, Chenyang Shen, 2020, Physics in medicine and biology.

Multienergy element‐resolved cone beam CT (MEER‐CBCT) realized on a conventional CBCT platform

Bin Li, Xun Jia, Chenyang Shen, 2018, Medical physics.

Balancing Robustness and Responsiveness in a Real-time Indoor Location System using Bluetooth Low Energy Technology and Deep Learning to Facilitate Clinical Applications pdf

Xun Jia, Chenyang Shen, Steve Jiang, 2019, ArXiv.

Low dose CT reconstruction assisted by an image manifold prior.

Xun Jia, Chenyang Shen, Guoyang Ma, 2018, 1810.12255.

Intelligent Parameter Tuning in Optimization-Based Iterative CT Reconstruction via Deep Reinforcement Learning

Steve B. Jiang, Xun Jia, Liyuan Chen, 2017, IEEE Transactions on Medical Imaging.

Deep-learning assisted automatic digitization of interstitial needles in 3D CT image based high dose-rate brachytherapy of gynecological cancer

Xun Jia, Chenyang Shen, Yesenia Gonzalez, 2019, Physics in medicine and biology.

Deep-learning-assisted automatic digitization of applicators in 3D CT image-based high-dose-rate brachytherapy of gynecological cancer.

Xun Jia, Chenyang Shen, Peter Klages, 2019, Brachytherapy.

Investigation of Dose-Rate Effects in Pulsed Low Dose Rate Radiotherapy

Chenyang Shen, K. Albuquerque, P. Klages, 2022, Mathews Journal of Cancer Science.

On the robustness of deep learning-based lung-nodule classification for CT images with respect to image noise

Steve B. Jiang, Xun Jia, Liyuan Chen, 2020, Physics in medicine and biology.

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

Steve B. Jiang, Xun Jia, Chenyang Shen, 2019, Medical physics.

Dual- and multi-energy CT for particle stopping-power estimation: current state, challenges and potential

Ming Yang, H. Bouchard, Chenyang Shen, 2022, Physics in medicine and biology.

Synthetic CT Generation from CBCT images via Deep Learning.

Steve B. Jiang, Liyuan Chen, Xiao Liang, 2019, Medical physics.

Small animal photon counting cone-beam CT on a preclinical radiation research platform to improve radiation dose calculation accuracy

Kai Yang, Chenyang Shen, Y. Zhong, 2022, Physics in medicine and biology.

Improving dose calculation accuracy in preclinical radiation experiments using multi-energy element resolved cone-beam CT

Chenyang Shen, Yanqi Huang, Y. Zhong, 2021, Physics in medicine and biology.

Implementation and Evaluation of an Intelligent Automatic Treatment Planning Robot for Prostate Cancer Stereotactic Body Radiation Therapy.

Chenyang Shen, Xun Jia, Yang Kyun Park, 2023, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

Synthetic CT generation from CBCT images via unsupervised deep learning

Steve B. Jiang, Jing Wang, D. Nguyen, 2021, Physics in medicine and biology.

Comparison of three undersampling approaches in computed tomography reconstruction.

Xun Jia, Michael K. Ng, Tieyong Zeng, 2019, Quantitative imaging in medicine and surgery.

Clinical experience on patient-specific quality assurance for CBCT-based online adaptive treatment plan.

Chenyang Shen, A. Godley, Xinran Zhong, 2023, Journal of applied clinical medical physics.

Modeling physician’s preference in treatment plan approval of stereotactic body radiation therapy of prostate cancer

Chenyang Shen, Xun Jia, Y. Gonzalez, 2022, Physics in medicine and biology.

Intelligent inverse treatment planning via deep reinforcement learning, a proof-of-principle study in high dose-rate brachytherapy for cervical cancer

Steve B. Jiang, Xun Jia, Liyuan Chen, 2018, Physics in medicine and biology.

Operating a Treatment Planning System using a Deep-Reinforcement-Learning based Virtual Treatment Planner for Prostate Cancer Intensity-Modulated Radiation Therapy Treatment Planning.

Steve B. Jiang, Xun Jia, Liyuan Chen, 2020, Medical physics.

Automatic PET cervical tumor segmentation by combining deep learning and anatomic prior

Liyuan Chen, Chenyang Shen, Jing Wang, 2019, Physics in medicine and biology.

Semi-automatic sigmoid colon segmentation in CT for radiation therapy treatment planning via an iterative 2.5-D deep learning approach

Steve B. Jiang, Xun Jia, Chenyang Shen, 2020, Medical Image Anal..

A manifold learning regularization approach to enhance 3D CT image-based lung nodule classification

Xun Jia, Liyuan Chen, Jing Wang, 2019, Int. J. Comput. Assist. Radiol. Surg..

Development of a Real-time Indoor Location System using Bluetooth Low Energy Technology and Deep Learning to Facilitate Clinical Applications.

Steve B. Jiang, K. Westover, X. Jia, 2019, Medical physics.

Simultaneous needle catheter selection and dwell time optimization for preplanning of high-dose-rate brachytherapy of prostate cancer

X. Jia, Chenyang Shen, B. Hrycushko, 2020, Physics in medicine and biology.

Artificial Intelligence in Radiation Therapy

Xiaofeng Yang, Yabo Fu, Tian Liu, 2021, IEEE Transactions on Radiation and Plasma Medical Sciences.

Material elemental decomposition in dual and multi‐energy CT via a sparsity‐dictionary approach for proton stopping power ratio calculation

Xun Jia, Liyuan Chen, Bin Li, 2018, Medical physics.

Bony structure enhanced synthetic CT generation using Dixon sequences for pelvis MR-only radiotherapy.

R. Hannan, A. Owrangi, T. Bai, 2023, Medical physics.

A hierarchical deep reinforcement learning framework for intelligent automatic treatment planning of prostate cancer intensity modulated radiation therapy

X. Jia, Chenyang Shen, Liyuan Chen, 2021, Physics in medicine and biology.

Early Experience of Online Adaptive Radiation Therapy for Definitive Radiation of Patients With Head and Neck Cancer

D. Sher, Chenyang Shen, V. Avkshtol, 2023, Advances in radiation oncology.

Generating Pareto Optimal Dose Distributions for Radiation Therapy Treatment Planning

Steve B. Jiang, Xun Jia, Chenyang Shen, 2019, MICCAI.

Improving Efficiency of Training a Virtual Treatment Planner Network via Knowledge-guided Deep Reinforcement Learning for Intelligent Automatic Treatment Planning of Radiotherapy.

Xun Jia, Liyuan Chen, Chenyang Shen, 2020, Medical physics.

The New Kid on the Block: Online Adaptive Radiotherapy in the Treatment of Gynecologic Cancers

A. Yen, Chenyang Shen, K. Albuquerque, 2023, Current oncology.

Design and experimental validation of a unilateral magnet for MRI-guided small animal radiation experiments.

Chenyang Shen, Y. Zhong, Xun Jia, 2021, Journal of magnetic resonance.