Chenyang Shen

Hivatkozott rá

	Összes	2020 óta
Hivatkozások	1690	1591
h-index	22	21
i10-index	35	33

440

220

110

330

2018201920202021202220232024202532 55 144 296 321 318 432 78

Nyilvános hozzáférés

Összes megtekintése

35 cikk

11 cikk

elérhető

nem érhető el

Finanszírozási megbízások alapján

Társszerzők

Xun JiaDepartment of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins UniversityE-mail megerősítve itt: jhu.edu
Steve JiangProfessor, University of Texas Southwestern Medical CenterE-mail megerősítve itt: UTSouthwestern.edu
Yesenia GonzalezUniversity of Texas Southwestern Medical CenterE-mail megerősítve itt: utsouthwestern.edu
Liyuan ChenAssistant ProfessorE-mail megerősítve itt: utsouthwestern.edu
Kevin AlbuquerqueDepartment of Radiation Oncology UT Southwestern Medical CenterE-mail megerősítve itt: utsouthwestern.edu
Jing WangProfessor, Department of Radiation Oncology, University of Texas Southwestern Medical CenterE-mail megerősítve itt: utsouthwestern.edu
Ming YangAssociate Professor, Radiation Physics Department, UT MD Anderson Cancer CenterE-mail megerősítve itt: mdanderson.org
Hyunuk JungAssistant Professor, Department of Radiation Oncology, University of RochesterE-mail megerősítve itt: urmc.rochester.edu
Michael Kwok-Po NgAMS, AAIA, SIAM Fellows, Dean of Science, Chair Professor in Mathematics & in Data Science, HKBUE-mail megerősítve itt: hkbu.edu.hk
Min-Yu TsaiNational Taiwan UniversityE-mail megerősítve itt: ntu.edu.tw
Yifei LouUniversity of North Carolina at Chapel HillE-mail megerősítve itt: unc.edu
Yin GaoUniversity of PennsylvaniaE-mail megerősítve itt: pennmedicine.upenn.edu
Zhen TianAssistant Professor, Department of Radiation Oncology, University of Chicago. ztian@bsd.uchicago.eduE-mail megerősítve itt: bsd.uchicago.edu
Rafe McBethAssistant Professor, Medical Physics, University of PennsylvaniaE-mail megerősítve itt: pennmedicine.upenn.edu
Liping JingBeijing Jiaotong UniversityE-mail megerősítve itt: bjtu.edu.cn
Bin DongBeijing International Center for Mathematical Research, Peking UniversityE-mail megerősítve itt: math.pku.edu.cn
Chao WangSouthern University of Science and TechnologyE-mail megerősítve itt: sustech.edu.cn
Yanqi HuangUT Southwestern Medical CenterE-mail megerősítve itt: pku.edu.cn
You Zhang, Ph.D.Associate Professor, UT Southwestern Medical CenterE-mail megerősítve itt: swmed.edu
Qingyao WuSchool of Software Engineering, South China University of TechnologyE-mail megerősítve itt: scut.edu.cn

Követés

Chenyang Shen

Assistant Professor, University of Texas Southwestern Medical Center

E-mail megerősítve itt: utsouthwestern.edu - Kezdőlap

Medical Physics Computational Mathematics Medical Imaging Machine Learning Treatment Planning


Cím Rendezés hivatkozások szerint Rendezés év szerint Rendezés cím szerint	Hivatkozott rá Hivatkozott rá	Év
Synthetic CT generation from CBCT images via deep learning L Chen, X Liang, C Shen, S Jiang, J Wang Medical Physics 47 (3), 1115-1125, 2020	176	2020
An introduction to deep learning in medical physics: advantages, potential, and challenges C Shen, D Nguyen, Z Zhou, SB Jiang, B Dong, X Jia Physics in Medicine & Biology 65 (5), 05TR01, 2020	132	2020
Intelligent inverse treatment planning via deep reinforcement learning, a proof-of-principle study in high dose-rate Brachytherapy for cervical cancer C Shen, Y Gonzalez, P Klages, N Qin, H Jung, L Chen, D Nguyen, ... Physics in Medicine & Biology 64 (11), 115013, 2019	129	2019
Intelligent Parameter Tuning in Optimization-based Iterative CT Reconstruction via Deep Reinforcement Learning C Shen, Y Gonzalez, L Chen, SB Jiang, X Jia IEEE Transaction on Medical Imaging 37 (6), 1430-1439, 2018	111	2018
Incorporating human and learned domain knowledge into training deep neural networks: A differentiable dose volume histogram and adversarial inspired framework for generating … D Nguyen, R McBeth, AS Barkousaraie, G Bohara, C Shen, X Jia, S Jiang arXiv preprint arXiv:1908.05874, 2019	100*	2019
Operating a treatment planning system using a deep‐reinforcement learning‐based virtual treatment planner for prostate cancer intensity‐modulated radiation therapy treatment … C Shen, D Nguyen, L Chen, Y Gonzalez, R McBeth, N Qin, SB Jiang, ... Medical physics 47 (6), 2329-2336, 2020	97	2020
Comprehensive analysis of proton range uncertainties related to stopping-power-ratio estimation using dual-energy CT imaging B Li, HC Lee, X Duan, C Shen, L Zhou, X Jia, M Yang Phys Med Biol, 2017	92	2017
A manifold learning regularization approach to enhance 3D CT image-based lung nodule classification Y Ren, MY Tsai, L Chen, J Wang, S Li, Y Liu, X Jia, C Shen International Journal of Computer Assisted Radiology and Surgery 15, 287-295, 2020	63	2020
Artificial intelligence in radiation therapy Y Fu, H Zhang, ED Morris, CK Glide-Hurst, S Pai, A Traverso, L Wee, ... IEEE Transactions on Radiation and Plasma Medical Sciences 6 (2), 158-181, 2021	50	2021
Synthetic CT generation from CBCT images via unsupervised deep learning L Chen, X Liang, C Shen, D Nguyen, S Jiang, J Wang Physics in Medicine & Biology 66 (11), 115019, 2021	46	2021
Automatic PET cervical tumor segmentation by combining deep learning and anatomic prior L Chen, C Shen, Z Zhou, G Maquilan, K Albuquerque, MR Folkert, J Wang Physics in Medicine & Biology 64 (8), 085019, 2019	45	2019
A hierarchical deep reinforcement learning framework for intelligent automatic treatment planning of prostate cancer intensity modulated radiation therapy C Shen, L Chen, X Jia Physics in Medicine & Biology 66 (13), 134002, 2021	40	2021
Deep-learning assisted automatic digitization of interstitial needles in 3D CT image based high dose-rate brachytherapy of gynecological cancer H Jung, C Shen, Y Gonzalez, K Albuquerque, X Jia Physics in Medicine & Biology 64 (21), 215003, 2019	36	2019
Multi-label Classification by Semi-supervised Singular Value Decomposition L Jing, C Shen, L Yang, J Yu, MK Ng IEEE Transactions on Image Processing, 2017	29	2017
Semi-automatic sigmoid colon segmentation in CT for radiation therapy treatment planning via an iterative 2.5-D deep learning approach Y Gonzalez, C Shen, H Jung, D Nguyen, SB Jiang, K Albuquerque, X Jia Medical Image Analysis 68, 101896, 2021	28	2021
Improving efficiency of training a virtual treatment planner network via knowledge‐guided deep reinforcement learning for intelligent automatic treatment planning of radiotherapy C Shen, L Chen, Y Gonzalez, X Jia Medical physics 48 (4), 1909-1920, 2021	27	2021
A machine-learning–based prediction model of fistula formation after interstitial brachytherapy for locally advanced gynecological malignancies Z Tian, A Yen, Z Zhou, C Shen, K Albuquerque, B Hrycushko Brachytherapy 18 (4), 530-538, 2019	26	2019
Dual-and multi-energy CT for particle stopping-power estimation: current state, challenges and potential M Yang, P Wohlfahrt, C Shen, H Bouchard Physics in Medicine & Biology 68 (4), 04TR01, 2023	25	2023
Deep-learning–assisted automatic digitization of applicators in 3D CT image-based high-dose-rate brachytherapy of gynecological cancer H Jung, Y Gonzalez, C Shen, P Klages, K Albuquerque, X Jia Brachytherapy 18 (6), 841-851, 2019	25	2019
Adaptive Sample-Level Graph Combination for Partial Multiview Clustering L Yang, C Shen, Q Hu, L Jing, Y Li IEEE Transactions on Image Processing 29, 2780-2794, 2019	24	2019

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