Publications |
Patents |
- Inhomogeneous MRI system, 2021
X Jia, C Shen, N Hassan-rezaeian, J Gradinetti, SB Jiang, R Timmerman
US Patent App. 16/943,507 - MRI adaptation for radiotherapy machines, 2021
SB Jiang, X Jia, G Wang, H Choy, N Hassan-rezaeian, C Shen
US Patent App. 17/045,978
Book Chapters
- D Nguyen, C Shen, X Jia, S Jiang, “Reinforcement Learning for Radiation Therapy Planning and Image Processing”, In book: Artificial Intelligence in Radiation Oncology and Biomedical Physics, DOI: 10.1201/9781003094333-5
Journal papers
*indicates the corresponding author(s)
Preprints/Submitted
- G Ma, C Shen, X Jia*, “Low Dose CT Reconstruction Assisted by An Image Manifold Prior”, arXiv:1810.12255, 2018.
- Y Peng, C Shen, Y Gonzalez, Y Gao, X Jia*, “Experimental and Numerical Investigations on Robustness of a Deep Neural Network-based Multi-class Classification Model of CT Images with respect to Image Noise”, Submitted to Physics in Medicine and Biology (arXiv preprint, arXiv:2303.02466), 2023.
Accepted/Published
- X Liang, A Yen, T Bai, A Godley, C Shen, J Wu, B Meng, M Lin, P Medin, Y Yan, A Owrangi, N Desai, R Hannan, A Garant, S Jiang, J Deng*, “Bony structure enhanced synthetic CT generation using Dixon sequences for pelvis MR-only radiotherapy.”, to appear in Medical Physics, 2023.
- L Yang, S Gu, C Shen, X Zhao, Q Hu*, “Skeleton Neural Networks via Low-rank Guided Filter Pruning”, IEEE Transactions on Circuits and Systems for Video Technology, DOI: 10.1109/TCSVT.2023.3277689, 2023.
- Y Gao, C Shen, X Jia*, YK Park*, “Implementation and Evaluation of an Intelligent Automatic Treatment Planning Robot for Prostate Cancer Stereotactic Body Radiation Therapy”, Radiotherapy and Oncology, 109685, 2023.
- V Avkshtol, B Meng, C Shen, B Choi, C Okoroafor, D Moon, D Sher, M Lin*, “Implementation and Evaluation of an Intelligent Automatic Treatment Planning Robot for Prostate Cancer Stereotactic Body Radiation Therapy”, Radiotherapy and Oncology, 109685, 2023., Advances in Radiation Oncology, 8 (5), 101256, 2023.
- C Shen, L Chen, X Zhong, Y Gonzalez, J Visak, B Meng, E Inam, D Parsons, A Godley, S Jiang, B Cai, and MH Lin*, “Clinical Experience on Patient-Specific Quality Assurance for CBCT-based Online Adaptive Treatment Plan”, Journal of Applied and Clinical Medical Physics, 24 (4), e13918, 2023.
- A Yen, C Shen, K Albuquerque*, “The New Kid on the Block: Online Adaptive Radiotherapy in the Treatment of Gynecologic Cancers”, Current Oncology, 30 (1), 865-874, 2023.
- M Yang*, P Wohlfahrt*, C Shen*, H Bouchard*, “Dual- and multi-energy CT for particle stopping- power estimation: current state, challenges and potential”, Physics in Medicine and Biology, 68 04TR01, 2023.
- H Liu, C Shen, P Klages, K Albuquerque, CM Ma*, X Jia*, “Interactive Treatment Planning in High Dose-Rate Brachytherapy for Gynecological Cancer”, Mathews Journal of Cancer Science 7(2), 2022.
- Z Qin, L Yang, F Gao, Q Hu, C Shen, “Uncertainty-Aware Aggregation for Federated Open Set Domain Adaptation”, to appear in IEEE Transactions on Neural Networks and Learning Systems, 2022.
- X Hu, Y Zhong, Y Lai, C Shen, K Yang, X Jia*, “Small animal photon counting cone-beam CT on a preclinical radiation research platform to improve radiation dose calculation accuracy”, Physics in Medicine and Biology, 67 (19), 195004, 2022.
- X Hu, Y Zhong, Y Huang, C Shen*, X Jia*, “Improving small animal cone beam CT resolution by mitigating x-ray focal spot induced blurring via deconvolution”, Physics in Medicine and Biology, 67 125005, 2022.
- D Sprouts, C Wang, X Jia, C Shen*, Y Chi*, "The Development of a Deep Reinforcement Learning Based, Clinical Treatment Planning System Adapted Virtual Treatment Planner", Biomedical Physics & Engineering Express, 8 (4), 045008, 2022.
- Y Gao, C Shen*, Y Gonzalez, X Jia*, “Modeling Physician's Preference in Treatment Plan Approval of Stereotactic Body Radiation Therapy of Prostate Cancer", Physics in Medicine and Biology, 67 (11), 115012, 2022.
- Y Liu, C Shen, T Wang, J Zhang, X Yang, T Liu, S Kahn, HK Shu, Z Tian*, "Automatic Inverse Treatment Planning for Gamma Knife Radiosurgery via Deep Reinforcement Learning", Medical Physics, 49 (5), 2877-2889, 2021.
- C Wang, H Jung, M Yang, C Shen*, X Jia*, "Simultaneous Image Reconstruction and Element Decomposition for Iodine Contrast Agent Visualization in Multienergy Element-Resolved Cone Beam CT", Frontiers in Oncology, 12, 827136, 2022
- Y Gao, J Xiong, C Shen*, X Jia*, "Improving robustness of a deep learning-based lung-nodule classification model of CT images with respect to image noise", Physics in Medicine and Biology, 66 (24), 245005, 2021.
- Y Huang, Y Zhong, C Shen*, X Jia*, “Multi-energy element-resolved cone-beam CT on a preclinical small animal irradiation platform”, to appear in Physics in Medicine and Biology, 2021.
- Y Fu, H Zhang, E Morris, C Glide-Hurst, S Pai, A Traverso, L Wee, I Hadzic, P Lønne, C Shen, T Liu, X Yang*, “Artificial Intelligence in Radiation Therapy”, IEEE Transactions on Radiation and Plasma Medical Sciences, 6(2), 158-181, 2021.
- J Grandinetti, Y Zhong, C Shen*, X Jia*, “Design and experimental validation of a unilateral magnet for MRI-guided small animal radiation experiments”, to appear in Journal of Magnetic Resonance, 2021.
- C Shen*, L Chen, X Jia*, “A Hierarchical Deep Reinforcement Learning Framework for Intelligent Automatic Treatment Planning of Prostate Cancer Intensity Modulated Radiation Therapy”, to appear in Early Career Researcher Special Issue of Physics in Medicine and Biology, 2021.
- L Chen, X Liang, C Shen, D Nguyen, SB Jiang, J Wang*, “Synthetic CT generation from CBCT images via unsupervised deep learning”, to appear in Physics in Medicine and Biology, 2021.
- C Shen*, L Chen, Y Gonzalez, X Jia*, “Improving Training Efficiency of Virtual Treatment Planner via Huma-knowledge Guided Deep Reinforcement Learning for Intelligent Automatic Treatment Planning of Radiotherapy”, Medical Physics, 48 (4), 1909-1920, 2020.
- C Wang, Y Gonzalez, C Shen, B Hrycushko, X Jia*, “Simultaneous Needle Catheter Selection and Dwell Time Optimization for Preplanning of High-dose-rate Brachytherapy of Prostate Cancer”, Physics in Medicine and Biology, 66 (5), 055028, 2021.
- Y Huang, K Yang, Y Lai, H Liu, C Shen, Y Zhong, H Li, B Liu, X Jia*, “Experimental and numerical studies on kV scattered x-ray imaging for real-time image guidance in radiation therapy”, to appear in Physics in Medicine and Biology, 66 (4), 045022, 2021
- Y Gonzalez, C Shen*, H Jung, D Nguyen, S Jiang, K Albuquerque, X Jia*, “Automatic Sigmoid Colon Segmentation in CT via a Human-Like Iterative Deep Learning Approach for Radiation Therapy Treatment Planning”, to appear in Medical Image Analysis, 68, 101896, 2020.
- C Shen*, M Tsai, L Chen, Dan Nguyen, J Wang, S Jiang, X Jia*, “On the Robustness of Deep Learning based Lung Nodule Classification for CT images with respect to Image Noise”, Physics in Medicine and Biology, 65 (24), 245037, 2020.
- L Yang*, L Ying, C Shen, Q Hu, S Xu*, “Discriminative Transfer Matching for Driving Pattern Recognition”, to appear in IEEE Transactions on Cybernetics, 2020
- G Tang*, Y Yan, C Shen, X Jia, M Zinn, Z Trivedi, A Yingling, K Westover, S Jiang, “Development of a Real-time Indoor Location System using Bluetooth Low Energy Technology and Deep Learning to Facilitate Clinical Applications”, Medical Physics, 47(8), 3277-3285, 2020
- C Shen*, D Nguyen, L Chen, Y Gonzalez, R McBeth, N Qin, S Jiang, X Jia*, “Operating a treatment planning system using a deep reinforcement learning-based virtual treatment planner for prostate cancer intensity-modulated radiation therapy treatment planning”, Medical Physics, 47(6), 2329-2336, 2020.
- Y Ren, M Tsai, L Chen, J Wang, Y Liu, X Jia*, C Shen*, “A Manifold Learning Regularization Approach to Enhance 3D CT Image-based Lung Nodule Classification”, International Journal of Computer Assisted Radiology and Surgery, 15(2), 287-295, 2020.
- C Shen, D Nguyen, Z Zhou, S Jiang*, B Dong*, X Jia*, “An Introduction to Deep Learning in Medical Physics: Advantages, Potential and Challenges”, Physics in Medicine and Biology, 65 (5), 05TR01, 2020.
- L Chen, X Liang, C Shen, S Jiang, J Wang*, “Synthetic CT Generation from CBCT images via Deep Learning”, Medical Physics, 47(3), 1115-1125, 2020.
- D Nguyen, R McBeth, AS Barkousaraie, G Bohara, C Shen, X Jia, S Jiang*, “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”, Medical Physics, 47(3), 837-849, 2019.
- Y Liu*, C Shen, Q Hu, L Jing, Y Li*, “Adaptive Sample-Level Graph Combination for Partial Multiview Clustering”, IEEE Transactions on Image Processing, 29, 2780-2794, 2019.
- Y Chi, C Shen, B Li, Y Zhang, M Yang, M Folkert, and X Jia*, “A method to reconstruct intra-fractional liver motion in rotational radiotherapy using linear fiducial markers”, Physics in Medicine and Biology, 64 (22), 225013, 2019.
- H Jung, C Shen, Y Gonzalez, K Albuquerque, X Jia*, “Deep-learning assisted automatic digitization of interstitial needles in 3D CT image based high dose-rate brachytherapy of gynecological cancer”, Physics in Medicine and Biology, 64 (21), 215003, 2019.
- C Shen*, Y Lou, L Chen, T Zeng, M Ng, L Zhu, X Jia*, “Comparison of three undersampling approaches in computed tomography reconstruction”, Quantitative Imaging in Medicine and Surgery, 9 (7), 1229, 2019.
- H Jung, Y Gonzalez, C Shen, P Klages, K Albuquerque, X Jia*, “Deep-learning Assisted Automatic Digitization of Applicators in 3D CT Image-based High Dose-rate Brachytherapy of Gynecological Cancer”, Brachytherapy, 18 (6), 841-851, 2019.
- Z Tian, A Yen, Z Zhou, C Shen, K Albuquerque, B Hrycushko*, “A machine-learning-based prediction model of fistula formation after interstitial brachytherapy for locally advanced gynecological malignancies”. Brachytherapy, 18 (4), 530-538, 2019.
- C Shen*, Y Gonzalez, P Klages, N Qin, H Jung, L Chen, Dan Nguyen, SB Jiang, X Jia*, “Intelligent Inverse Treatment Planning via Deep Reinforcement Learning, a Proof-of-Principle Study in High Dose-rate Brachytherapy for Cervical Cancer”, Physics in Medicine and Biology, 64 (11), 115013, 2019.
- L Chen, C Shen, Z Zhou, G Maquilan, K Albuquerque, MR Folkert, J Wang*, Automatic PET cervical tumor segmentation by combining deep learning and anatomic prior, Physics in Medicine and Biology, 64 (8), 085019, 2019.
- G. Ma, C Shen, X Jia*, “Low Dose CT Reconstruction Assisted by An Image Manifold Prior”, arXiv:1810.12255, 2018.
- C Shen, B Li, Y Lou, M Yang, L Zhou, X Jia*, “Multi-energy elemental-resolved cone beam CT (MEER-CBCT) realized on a conventional CBCT platform”, Medical Physics, 45 (10), 4461-4470, 2018.
- L Chen, C Shen, Z Zhou, G Maquilan, K Thomas, MR Folkert, J Wang*, “Accurate segmenting of cervical tumors in PET imaging based on similarity between adjacent slices”, Computers in Biology and Medicine, 97, 30-36, 2018.
- C Shen, Y Gonzalez, L Chen, S Jiang, X Jia*, “Intelligent Parameter Tuning in Optimization-based Iterative CT Reconstruction via Deep Reinforcement Learning”, IEEE Transactions on Medical Imaging, 37 (6): 1430-1439, 2018. (Best Paper Award, NACMPA)
- B Li, C Shen, Y Chi, M Yang, L Zhou, Y Lou, X Jia*, “Multi-energy cone-beam CT reconstruction with a spatial spectral nonlocal means algorithm”, SIAM Journal on Imaging Science, 11 (2): 1205-1229, 2018.
- C Shen, B Li, L Chen, M Yang, X Jia*, “Material elemental decomposition in dual and multi-energy CT via a sparsity-dictionary approach for proton stopping power ratio calculation”, Medical Physics, 45 (4): 1491-1503, 2018.
- N Qin, C Shen, MY Tsai, M Pinto, Z Tian, G Dedes, A Pompos, SB Jiang, K Parodi, X Jia*, “Full Monte Carlo–based biologic treatment plan optimization system for intensity modulated carbon ion therapy on graphics processing unit”, International journal of radiation oncology, biology, physics, 100 (1): 235-243, 2018.
- B Li, HC Lee, C Shen, L Zhou, X Jia, M Yang*, “Comprehensive analysis of proton range uncertainties related to stopping-power-ratio estimation using dual-energy CT imaging”, Physics in Medicine & Biology, 62 (17): 7056, 2017.
- Y Chi, NH Rezaeian, C Shen, Y Zhou, W Lu, M Yang, R Hannan, X Jia*, “A new method to reconstruct intrafractional prostate motion in volumetric modulated arc therapy”, Physics in Medicine & Biology, 62 (13): 5509-5530, 2017.
- L Jing, C Shen, L Yang, J Yu, M Ng*, “Multi-label classification by semi-supervised singular value decomposition”, IEEE Transactions on Image Processing, 26 (10): 4612-25, 2017.
- M Ng, Q Wu, C Shen*, “A fast Markov chain based algorithm for MIML learning”, Neurocomputing, 216, 763-777, 2016.
- C Shen, J Pan, S Zhang, M Ng*, “Multiple networks modules identification by a multi-dimensional Markov chain method”, Network Modeling Analysis in Health Informatics and Bioinformatics, 4 (1): 32, 2015.
Conference proceedings
Full-length, peer-reviewed conference papers
- J Wen, L Yang*, C Shen*, “Fast and Robust Compression of Deep Convolutional Neural Networks”, In: Zheng Y., Williams B., Chen K. (eds) International Conference on Artificial Neural Networks, pp 52-63, 2020.
- S Rouf, C Shen, Y Cao, C Davis, X Jia, Y Lou*, “A Neural Network Approach for Image Reconstruction from a Single X-Ray Projection”, In: Zheng Y., Williams B., Chen K. (eds) Medical Image Understanding and Analysis. MIUA 2019. Communications in Computer and Information Science, vol 1065, pp 208-219, Springer, Cham, 2019.
- M Li, L Yang*, Q Hu, C Shen, Z Du*, “Transfer Learning for Driving Pattern Recognition”, Pacific Rim International Conference on Artificial Intelligence, 52-65, 2019.
- D Nguyen, AS Barkousaraie, C Shen, X Jia, S Jiang*, “Generating Pareto optimal dose distributions for radiation therapy treatment planning”, The Medical Image Computing and Computer Assisted Intervention (MICCAI), 2019.
- C Shen, G Ma, X Jia*, “Low-dose CT Reconstruction Assisted by a Global CT Image Manifold Prior”, 15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine (Fully3D), 2019.
- C Shen, M Tsai, H Jung, Y Gonzalez, L Chen, S Jiang, X Jia*, “Quality-Guided Deep Reinforcement Learning for Parameter Tuning in Iterative CT Reconstruction”, 15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine (Fully3D), 2019.
- L Chen, C Shen, S Li, G Maquilan, K Albuquerque, MR Folkert, J Wang*, “Automatic PET cervical tumor segmentation by deep learning with prior information”, Medical Imaging 2018: Image Processing 10574, 1057436, 2018.
- C Shen, B Li, Y Lou, X Jia*, “A Novel Framework for Stopping Power Ratio Calculation in Proton Therapy using Multi-energy Cone-beam CT Realized on a Conventional Cone-beam CT Platform”, 14th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine (Fully3D), 2017.
- C Shen, S Zhang, M Ng*, “A tensor based Markov chain method for module identification from multiple networks”, Systems Biology (ISB), 2014 8th International Conference on. IEEE, 2014.
- C Shen, L Jing, M Ng*, “Sparse-MIML: a sparsity-based multi-instance multi-label learning algorithm”, EMMCVPR, LNCS, 8081, 294-306, 2013.
Selected conference abstracts
- L Chen, W Zhang, X Liang, T Bai, D Nguyen, M Dohopolski, T Zhuang, D Parsons, Z Iqbal, C Shen, X Zhong, A Godley, T Dan, Z Wardak, S Jiang, and MH Lin, “AI Empowered Diagnostic MRI Based Simulation-Omitted Hippocampal-Sparing Whole Brain Radiation Therapy on Ethos”, Medical Physics 50 (6), 2023.
- Y Peng, C Shen, Y Gonzalez, and X Jia, “Experimental and Numerical Investigation on Robustness of a Deep Neural Network-Based Multi-Class Classification Model of CT Images with Respect to Image Noise”, Medical Physics 50 (6), 2023.
- SCIENCE COUNCIL SESSION: Y Gao, C Shen, Y Gonzalez, and X Jia, “High Dose-Rate Brachytherapy Treatment Planning for Gynecological Cancer with Intelligent and Conversational AI”, Medical Physics 50 (6), 2023.
- Y Gao, YK Park, C Shen, and X Jia, “Modeling Physician-Planner Partnership for Intelligent Automatic Treatment Planning of Prostate Cancer Stereotactic Body Radiation Therapy”, Medical Physics 50 (6), 2023.
- EB Wang, C Shen, Y Gonzalez, X Jia, “Outcome-Oriented Human-Like Automated Brachytherapy Treatment Planning for Cervical Cancer with Deep Reinforcement Learning”, International Journal of Radiation Oncology Biology Physics, 114 (3), S162, 2022.
- INVITED TALK: C Shen*, “AI-Empowered Clinical Decision Support for Personalized Radiation Therapy: Toward Real-Time Adaptive Radiotherapy With AI”, Medical Physics 49 (6), 2022.
- C Shen, J Wu, Y Yan, X Jia, P Medin, A Godley, J Deng*, “Automatic Fiducial Marker Localization Via Quantitative Susceptibility Mapping (QSM) in Magnetic Resonance (MR)-Only Simulation for Radiation Therapy (RT) of Prostate Cancer”, Medical Physics 49 (6), 2022.
- Y Peng, C Shen, Y Gonzalez, S Zhang, X Jia*, “Numerical and Experimental Investigation On the Robustness of Deep Neural Network-Based Multi-Class Classification Model of CT Images with Respect to Image Noise”, Medical Physics 49 (6), 2022.
- Y Liu, C Shen, T Wang, J Zhang, X Yang, T Liu, S Kahn, H Shu, Z Tian*, “Deep Reinforcement Learning Based Intelligent Virtual Planner of Gamma Knife Radiosurgery for Vestibular Schwannoma”, Medical Physics 49 (6), 2022.
- SCIENCE COUNCIL SESSION: Y Gao, C Shen, Y Gonzalez, X Jia, Y Park*, “Intelligent Automatic Treatment Planning for Prostate Cancer Stereotactic Body Radiation Therapy”, Medical Physics 49 (6), 2022.
- S Zhang, Y Gao, Y Zhong, C Shen, Y Peng, J Grandinetti, J Deng, X Jia*, “Physics Model-Aware MR Relaxometry Using Deep Learning”, Medical Physics 49 (6), 2022.
- X Hu, Y Zhong, Y Huang, C Shen, X Jia*, “Mitigating X-Ray Focal Spot Induced Blurring in Small Animal Cone Beam CT Resolution Via Deconvolution”, Medical Physics 49 (6), 2022.
- E Wang, C Shen, Y Gonzalez, X Jia*, “Clinical Outcome-Driven Intelligent Automatic Treatment Planning of High-Dose-Rate Brachytherapy for Cervical Cancer”, Medical Physics 49 (6), 2022.
- Y Zhong, X Hu, H Liu, Y Lai, C Shen, X Jia*, “Multi-Energy Cone Beam CT Image-Guided Intensity-Modulated Small-Animal Irradiation Platform”, Medical Physics 49 (6), 2022.
- Y Gao, C Shen, Y Gonzalez, J Deng, X Jia*, “Patient-Specific Image Prior Assisted Fast MR Imaging for Online Adaptive Radiotherapy”, Medical Physics 49 (6), 2022.
- L Chen, K Wang, C Shen, D Sher, J Wang*, “A Bilateral Neural Network for Loco-Regional Recurrence Prediction in Head and Neck Squamous Cell Cancer”, Medical Physics 48 (6), 2021.
- Y Gonzalez, C Shen, K Albuquerque, X Jia*, “Accurate Automatic Rectum Segmentation for High-Dose Rate Brachytherapy of Cervical Cancer Treatment Planning”, Medical Physics 48 (6), 2021.
- Y Gao, C Shen, M Tsai, Y Gonzalez, L Chen, X Jia*, “Intelligent CT Reconstruction with Simultaneous Learning of Reconstruction Policy and Image Quality Assessment Using Quality-Guided Deep Reinforcement Learning”, Medical Physics 48 (6), 2021.
- Y Gao, C Shen, Y Gonzalez, X Jia*, “Understanding Physician's Preference in Treatment Planning of Stereotactic Body Radiation Therapy of Prostate Cancer”, Medical Physics 48 (6), 2021.
- Y Huang, Y Zhong, T Chiu, C Shen, K Yang, X Jia*, “Experimental and Monte Carlo Simulation Characterization of a KV Scattered X-Ray Imaging System for Real-Time Lung Tumor Motion Tracking”, Medical Physics 48 (6), 2021.
- D Sprouts, C Shen, Y Chi*, “Inverse Treatment Planning Using a Virtual Treatment Planner (VTP) for Prostate Cancer Treated with Intensity Modulated Radiation Therapy”, Medical Physics 48 (6), 2021.
- Y Zhong, T Chiu, Y Huang, Y Shao, C Shen, K Yang, X Jia*, “Tumor Motion Tracking in a KV Scattered X-Ray Imaging System for Lung Cancer Radiotherapy”, Medical Physics 48 (6), 2021.
- Y Lai, C Shen, Y Chi, F Guan, X Jia*, “A Biology-Driven Deep-Learning Based Cell Survival Model for Proton Radiation”, Medical Physics 48 (6), 2021.
- C Shen, L Chen, X Jia*, “Towards Interpretable Intelligent Automatic Treatment Planning in Radiotherapy: Understanding the Decision-Making Behaviors of a Hierarchical Deep Reinforcement Learning Based Virtual Treatment Planner Network”, Medical Physics 48 (6), 2021.
- C Shen, C Men, Y Gao, L Chen, X Jia*, “AI Agent Competing with Human in Planning Challenge: A Human-Expert Level Virtual Treatment Planner Network for Prostate Cancer Stereotactic Body Radiation Therapy (SBRT)”, Medical Physics 48 (6), 2021.
- J Grandinetti, Y Zhong, Y Peng, C Shen, X Jia*, “Development of a Novel System for Preclinical Small Animal MR-Guided Radiation Experiments”, Medical Physics 48 (6), 2021.
- X Jia, C Shen*, “Understanding Robustness of Deep Neural Network: A Comprehensive Robustness Analysis for a Deep Learning-Based Lung-Nodule Classification Model of CT Images with Respect to Image Noise”, Medical Physics 48 (6), 2021.
- Y Gonzalez, C Shen, K Albuquerque, X Jia*, “Three-Stage Rectum Segmentation for Accurate D2cc Computation in High-Dose Rate Brachytherapy of Cervical Cancer Treatment Planning”, Brachytherapy 20 (3), S53, 2021.
- Y Gonzalez, C Shen, K Albuquerque, X Jia*, “Deep-learning based Physician’s Preference Prediction For HDR Brachytherapy Of Cervical Cancer”, Radiotherapy and Oncology 152, S1094-S1095.2020.
- G Tang, C Shen, X Jia, M Zinn, D Sher, Z Trivedi, T Chiu, H Choy, R Timmerman, S Jiang, Y Yan, “Develop a Real-Time Location System to Improve Safety and Clinical Workflow in Radiation Oncology”, Medical Physics 47 (6), 2020.
- C Wang, Y Gonzalez, C Shen, X Jia, “Simultaneous Needle Selection and Dwell Time Optimization in Prostate Cancer High-Dose-Rate Brachytherapy”, Medical Physics 47 (6), 2020.
- Y Huang, K Yang, X Li, B Liu, H Liu, Y Lai, C Shen, X Jia, “Monte Carlo Simulation of a KV Scattered X-Ray Imaging-Based Real-Time In-Treatment Image Guidance Method for Radiation Therapy”, Medical Physics 47 (6), 2020.
- C Shen, L Chen, Y Gonzalez, D Nguyen, S Jiang, X Jia, “Human Knowledge Augmented Deep Reinforcement Learning for Intelligent Automatic Radiotherapy Treatment Planning”, Medical Physics 47 (6), 2020.
- C Shen, L Chen, Y Gonzalez, D Nguyen, S Jiang, X Jia, “Hierarchical Deep Reinforcement Learning for Intelligent Automatic Radiotherapy Treatment Planning”, Medical Physics 47 (6), 2020.
- Y Zhong, C Shen, Y Huang, X Jia, “Simultaneous Image Reconstruction and Material Decomposition Using Multi-Energy Cone Beam CT On a Preclinical Irradiation Platform”, Medical Physics 47 (6), 2020.
- Y Gonzalez, C Shen, K Albuquerque, X Jia, “Deep-Learning Based Prediction of Physicians Intention for High-Dose-Rate Brachytherapy with Tandem-And-Ovoids Applicator”, Medical Physics 47 (6), 2020.
- J Grandinetti, C Shen, X Jia, “MRI Reconstruction for Image-Guided Radiation Therapy From Undersampled Data Acquisition Using a Patient-Specific Deep Manifold Based Image Prior”, Medical Physics 47 (6), 2020.
- Y Huang, Y Zhong, C Wang, Y Gonzalez, C Shen, X Jia, “Comprehensive Calibration and Evaluation of a Cone-Beam CT On a Pre-Clinical Small Animal Radiation Research Platform”, Medical Physics 47 (6), 2020.
- D Sprouts, Y Chi, C Shen, X Jia, “Dose-Volume Histogram Based Inverse Treatment Planning Via Deep Reinforcement Learning in Intensity Modulated Radiation Therapy (IMRT) for Prostate Cancer”, Medical Physics 47 (6), 2020.
- C Shen, Y Gonzalez, K Albuquerque, X Jia, “Evaluation of an Intelligent Virtual Treatment Planner for Cervical Cancer Brachytherapy”, World Congress of Brachytherapy, 2020.
- BASIC/TRANSLATIONAL SCIENCE AWARD: C Shen, Y Gonzalez, L Chen, D Nguyen, X Jia, “Automatic Treatment Planning in a Human-like manner: Operating Treatment Planning Systems by a Deep Reinforcement Learning based Virtual Treatment Planner”, International Journal of Radiation Oncology Biology Physics, 105 (1), 2019.
- Y Gonzalez, C Shen, H Jung, X Jia, “A Human Behavior-Driven Deep-Learning Approach for Automatic Sigmoid Segmentation”, International Journal of Radiation Oncology Biology Physics, 105 (1), 2019.
- ANNUAL MEETING TRAVEL AWARDS: H Jung, C Shen, Y Gonzalez, X Jia, “Element-resolved Multi-energy Cone Beam CT Reconstruction to Enhance Detectability of Low-concentration Iodine Contrast Agent”, International Journal of Radiation Oncology Biology Physics, 105 (1), 2019.
- SCIENCE COUNCIL SESSION: Operating a Treatment Planning System Using a Deep-Reinforcement-Learning Based Virtual Treatment Planner for Intensity-Modulated Radiation Therapy Treatment Planning, C Shen, D Nguyen, Y Gonzalez, L Chen, S Jiang, X Jia (corresponding author), Medical Physics 46 (6), 2019.
- SCIENCE COUNCIL SESSION: M Tsai, C Shen, X Jia, “Evaluating Robustness of Deep Learning Based Lung Nodule Classification”, Medical Physics 46 (6), 2019.
- BEST IN PHYSICS (THERAPY): H Jung, C Shen, Y Gonzalez, X Jia, “Deep-Learning Assisted Automatic Digitization of Interstitial Needles in High Dose-Rate Brachytherapy”, Medical Physics 46 (6), 2019.
- M Tsai, C Shen, X Jia, “Reconstruction-Aware Sinogram Denoising with Deep U-Net for Low Dose CT”, Medical Physics 46 (6), 2019.
- H Liu, C Shen, Y Gonzalez, X Jia, “Treatment Planning System for Intensity Modulated Small Animal Radiotherapy Realized with a Movable Rectangular Collimator”, Medical Physics 46 (6), 2019.
- C Shen, Y Gonzalez, L Chen, S Jiang, X Jia, “Quality-Guided Deep Reinforcement Learning for Parameter Tuning in Iterative CT Reconstruction”, Medical Physics 46 (6), 2019.
- Y Gonzalez, C Shen, K Albuquerque, X Jia, “A Deep-Learning Module in AutoBrachy for Organs-At-Risk Segmentation in High-Dose-Rate Brachytherapy of Gynecological Cancer”, Medical Physics 46 (6), 2019.
- Y Gonzalez, C Shen, H Jung, K Albuquerque, X Jia, “An Automated Treatment Planning Module in AutoBrachy for Interstitial High-Dose-Rate Brachytherapy of Gynecological Cancer”, Medical Physics 46 (6), 2019.
- L Chen, X Liang, C Shen, S Jiang, J Wang, “Intelligent Synthetic CT Generation Based On CBCT Images Via Unsupervised Deep Learning”, Medical Physics 46 (6), 2019.
- H Jung, C Shen, Y Gonzalez, M Yang, X Jia, “Multi-Energy Element-Resolved Cone Beam CT for Radiotherapy Image Guidance Under Low-Concentration Iodine Contrast Agent”, Medical Physics 46 (6), 2019.
- D Nguyen, A Balagopal, C Shen, M Lin, R Hannan, S Jiang, “Using a Bayesian Neural Network Approximation to Quantify the Uncertainty in Segmentation Prediction On Prostate Cancer”, Medical Physics 46 (6), 2019.
- D Nguyen, A Sadeghnejad Barkousaraie, C Shen, X Jia, S Jiang, “Real-Time Generation of Pareto 3D Dose Distributions for Radiotherapy”, Medical Physics 46 (6), 2019.
- Y Zhang, Z Iqbal, C Shen, C Wang, S Jiang, J Wang, “Dynamic MRI Reconstruction Using Simultaneous K-Space-Driven Motion Estimation and Compensation (SK-MEC)”, Medical Physics 46 (6), 2019.
- N Hassan Rezaneian, Y Xu, B Li, C Shen, L Zhu, X Jia, “Experimental Development and Validation of a Rotational Blocker Concept for Under Sample CBCT Reconstruction and Scatter Correction in Radiation Therapy: End to End Confirmation”, Medical Physics 46 (6), 2019.
- C Shen, Y Gonzalez, L Chen, S Jiang, X Jia, “Quality-Guided Deep Reinforcement Learning for Parameter Tuning in Iterative CT Reconstruction”, Medical Physics 46 (6), 2019.
- C Shen, D Nguyen, Y Gonzalez, L Chen, S Jiang, X Jia, “Operating a Treatment Planning System Using a Deep-Reinforcement-Learning Based Virtual Treatment Planner for Intensity-Modulated Radiation Therapy Treatment Planning”, Medical Physics 46 (6), 2019.
- M Tsai, C Shen, S H Huang, X Jia (corresponding author), “Deep learning-based Reconstruction-aware Sinogram Denoising for low dose CT”, The International Conference on the Use of Computers in Radiation Therapy (ICCR), 2019.
- H Liu, C Shen, X Jia, “Intensity Modulated Small Animal Radiotherapy Treatment Planning using a Movable Rectangular Collimator”, The International Conference on the Use of Computers in Radiation Therapy (ICCR), 2019.
- D Nguyen, A Balagopal, C Shen, M Lin, R Hannan, S Jiang, “Using a Bayesian Neural Network Approximation to Quantify the Uncertainty in Segmentation Prediction on Prostate Cancer”, The International Conference on the Use of Computers in Radiation Therapy (ICCR), 2019.
- D Nguyen, A S Barkousaraie, C Shen, X Jia, S Jiang, “Real-time Generation of Pareto 3D Dose Distributions for Radiotherapy”, The International Conference on the Use of Computers in Radiation Therapy (ICCR), 2019.
- H Jung, C Shen, Y Gonzalez, X Jia, “Deep-learning based Automatic Digitization of Interstitial Needles in High Dose-rate Brachytherapy”, The International Conference on the Use of Computers in Radiation Therapy (ICCR), 2019.
- Y Gonzalez, C Shen, H Jung, X Jia, “Sigmoid Segmentation via a Human-Like Deep Learning Approach”, The International Conference on the Use of Computers in Radiation Therapy (ICCR), 2019.
- Y Gonzalez, P Klages, J Tan, C Shen, M Yang, K Albuquerque, X Jia, “AutoBrachy: an Automated Treatment Planning, Quality Assurance and Documentation System for High-Dose-Rate Brachytherapy of Gynecological Cancer”, The International Conference on the Use of Computers in Radiation Therapy (ICCR), 2019.
- C Shen, Y Gonzalez, D Nguyen, L Chen, S Jiang, X Jia, “Virtual Treatment Planner for Radiation Therapy via Deep Reinforcement Learning”, The International Conference on the Use of Computers in Radiation Therapy (ICCR), 2019.
- C Shen, L Chen, Y Gonzalez, X Jia, “Intelligent Parameter Tuning for Iterative CT Reconstruction Via Quality-guided Deep Reinforcement Learning”, The International Conference on the Use of Computers in Radiation Therapy (ICCR), 2019.
- C Shen, B Li, Y Lou, X Jia, “Element-resolved multi-energy cone beam CT realized on a conventional cone beam CT platform”, International Journal of Radiation Oncology Biology Physics, 99 (2), 2017.
- C Shen, Y Gonzalez, L Chen, S Jiang, X Jia, “Parameter tuning in regularization-based iterative CT reconstruction via deep reinforcement learning”, International Journal of Radiation Oncology Biology Physics, 2018.
- C Shen, Y Gonzalez, H Jung, L Chen, N Qin, D Nguyen, S Jiang, X Jia (corresponding author), “Automatic inverse treatment planning for cervical cancer high dose-rate brachytherapy via deep reinforcement learning”, International Journal of Radiation Oncology Biology Physics, 2018.
- H Jung, C Shen, Y Gonzalez, N Qin, X Jia, “An iterative deep-learning approach to segment sigmoid colon”: th-cd-kdbrc-10, Medical Physics 45 (6), 2018.
- L Chen, X Liang, C Shen, S Jiang, J Wang, “Intelligent synthetic CT generation from CBCT images via deep learning”: mo-c930-gepd-f6-3, Medical Physics 45 (6), 2018.
- H Jung, P Klages, C Shen, Y Gonzalez, K Albuquerque, X Jia, “A deep-learning approach toward automated digitization of high dose-rate brachytherapy applicators”: we-ab-dbra-1, Medical Physics 45 (6), 2018.
- C Shen, Y Gonzalez, L Chen, S Jiang, X Jia, “Automatically adjusting reconstruction parameters in iterative CT reconstruction problems like a human”: su-e-kdbrb1-6, Medical Physics 45 (6), 2018.
- C Shen, Y Gonzalez, H Jung, L Chen, N Qin, D Nguyen, S Jiang, X Jia, “Deep reinforcement learning based inverse treatment planning: a study in high-dose-rate brachytherapy for cervical cancer”: mo-k-dbra-3, Medical Physics 45 (6), 2018.
- Y Xu, B Li, C Shen, J Ma, L Zhou, S Jiang, X Jia, “A rotating blocker for random-ray under-sampling cone beam CT for simultaneously dose reduction and scatter correction: a proof-of-concept study”: su-e-kdbrb1-5, Medical Physics 45 (6), 2018.
- H Liu, C Shen, P Klages, M Yang, K Albuquerque, Z Wu, J Li, X Jia, “Interactive treatment plan optimization of high-dose-rate brachytherapy for gynecological cancer”: we-ab-dbra-6, Medical Physics 45 (6), 2018.
- J Tan, P Klages, C Shen, M Yang, K Albuquerque, X Jia, “AutoBrachy: a streamlined automated treatment planning, quality assurance, and documentation system for tandem-and-ovoid high dose-rate brachytherapy”: we-j-207-3, Medical Physics 45 (6), 2018.
- O Ogunmolu, D Nguyen, C Shen, X Jia, W Lu, N Gans, S Jiang, “Automating beam orientation optimization for IMRT treatment planning: a deep reinforcement learning approach”: su-e-209-3, Medical Physics 45 (6), 2018.
- Y Gonzalez, C Shen, P Klages, K Albuquerque, X Jia, “On the importance of inverse treatment planning in high-dose-rate brachytherapy with a tandem-and-ovoid applicator for cervical cancer”: tu-c1000-gepd-f3-3, Medical Physics 45 (6), 2018.
- Z Tian, A Yen, Z Zhou, C Shen, K Albuquerque, B Hrycushko, “Prediction of development of rectovaginal fistula following interstitial brachytherapy for Advanced cervix cancer using machine learning”: mo-c930-gepd-f4-4, Medical Physics 45 (6), 2018.
- Y Gonzalez, C Shen, P Klages, K Albuquerque, X Jia, “A deep-learning approach to predict planning objectives in cervical cancer high-dose-rate brachytherapy with a tandem-and-ovoid applicator”: mo-k-dbra-1, Medical Physics 45 (6), 2018.
- M Tsai, C Shen, B Li, X Jia, “Elemental-resolved multi-energy CBCT reconstruction using a linear forward CT model”: th-ef-202-6, Medical Physics 45 (6), 2018.
- C Shen, N Qin, H Jung, M Yang, X Jia, “A new model of sparse dictionary based material elemental decomposition in multi-energy CT for proton stopping power ratio estimation”: su-e-202-2, Medical Physics 45 (6), 2018.
- N Qin, Y Gonzalez, C Shen, C Shieh, X Jia, “Cone-beam CT scatter artifact removal with deep residual generative adversarial network”: th-ef-202-5, Medical Physics 45 (6), 2018.
- C Shen, B Li, L Chen, J Wang, M Yang, Y Lou, X Jia, “Sparse dictionary method for material elemental decomposition in dual and multi-energy CT for proton stopping power ratio estimation”: th-ab-605-10, Medical Physics 44 (6), 2017.
- L Chen, G Maquilan, K Thomas, C Shen, Z Zhou, M Folkert, K Albuquerque, J Wang, “A semi-automatic algorithm for segmenting cervical tumors in 3D 18FDG PET”: we-g-201-01, Medical Physics 44 (6), 2017.
- B Li, C Shen, Y Chi, M Yang, X Jia, “A new approach to realize and reconstruct multi-energy cone-beam CT for radiotherapy”: we-de-605-01, Medical Physics 44 (6), 2017.
- C Shen, B Li, Y Lou, X Jia (corresponding author), “Simultaneous multi-energy cone beam CT reconstruction and material decomposition realized on a conventional cone beam CT platform”: we-f-605-09, Medical Physics 44 (6), 2017.
- Y Chi, C Shen, B Li, Y Zhang, T Chiu, M Yang, X Jia, “A new method to reconstruct intra-fractional liver motion in volumetric modulated arc therapy (VMAT)”: tu-h-campus-jt-04, Medical Physics 44 (6), 2017.
- P Klages, C Shen, J Tan, K Albuquerque, X Jia, “Automated HDR brachytherapy treatment planning and quality assurance system for tandem-and-ovoid applicator”: we-ab-605-05, Medical Physics 44 (6), 2017.
- N Qin, C Shen, M Pinto, Z Tian, G Dedes, A Pompos, S Jiang, K Parodi, X Jia, “A fully Monte Carlo-based efficient biological treatment plan optimization system for intensity modulated carbon ion therapy”: th-ab-605-01, Medical Physics 44 (6), 2017.
- C Shen, Y Lou, L Chen, X Jia, WE-AB-207A-04: “Random undersampling cone beam CT: theoretical analysis and a novel reconstruction method”, Medical Physics 43 (6), 2016.
- L Chen, C Shen, J Wang, S Jiang, X Jia, WE-AB-207A-06: “Progressive dose control for cone beam CT with deformation assisted temporal nonlocal mean method”, Medical Physics 43 (6), 2016.
- B Li, C Shen, L Ouyang, M Yang, L Zhou, S Jiang, X Jia, WE-FG-207B-03: “Multi-energy CT reconstruction with spatial spectral nonlocal means regularization”, Medical Physics 43 (6), 2016.
- N Qin, C Shen, Z Tian, S Jiang, X Jia, SU-D-BRC-01: “An automatic beam model commissioning method for Monte Carlo simulations In pencil-beam scanning proton therapy”, Medical Physics 43 (6), 2016.
- C Shen, L Chen, Y Xu, Z Tian, M Ng, T Zeng, Y Lou, L Zhu, X Jia, WE-G-207-08: “Image dose reduction and scatter removal in cone beam CT via random undersampling: a simulation study”, Medical Physics 42 (6), 2015.
- L Chen, C Shen, M Ng, T Zeng, Y Lou, L Zhu, X Jia (corresponding author), WO-FG-204-06: “A new algorithm for gold nano-particle concentration identification in dual energy CT”, Medical Physics 42 (6), 2015.