1. L. Chen, M.Dohopolski, Z. Zhou, K. Wang, R. Wang, D. Sher,J. Wang*, “Attention GuidedLymph Node Malignancy Prediction in Head and Neck Cancer”,International Journal ofRadiation Oncology, Biology,Physics, accepted, 2021
  2. Zhang, Y. An Unsupervised 2D-3D Deformable Registration Network (2D3D-RegNet) for Cone-Beam CT Estimation, accepted by Physics in Medicine & Biology, 2021
  3. N.George-Jones, K. Wang, J. Wang, andJ. Hunter, Automated Detection of VestibularSchwannoma Growth Using a two-dimensional U-Net Convolutional Neural Network,TheLaryngoscope, Vol. 131, pp. E619-624,2021


  1. Wang, Z. Zhou, R. Wang, L. Chen, Q. Zhang, D. Sher, and J. Wang, A multi-objective radiomics model for the prediction of locoregional recurrence in head and neck squamous cell cancers, Medical Physics, 2020
  2. N.George-Jones, R. Chkheidze, S. Moore,J. Wang, J. Hunter,MRI Texture Features areAssociated with Vestibular Schwannoma Histology,Laryngoscope, accepted, 2020
  3. Z. Zhou,G. Maquilan, K. Thomas,J. Wang*, M. Folkert, and K. Albuquerque,QuantitativePET Imaging and Clinical Parameters as Predictive Factors for Patients with CervicalCarcinoma: Implications of a Prediction Model Generated Using Multi-Objective SupportVector Machine Learning,Technology in Cancer Research & Treatment,accepted, 2020
  4. N.George-Jones, K. Wang,J. Wang, andJ. Hunter,Prediction of Vestibular SchwannomaEnlargement After Radiosurgery Using Tumor Shape and MRI Texture Features,Otology &Neurotology, accepted, 2020
  5. C. Shen, M-Y Tsai, L. Chen, Liyuan; S. Li, D. Nguyen,J. Wang, S. Jiang, and X. Jia, Xun, Onthe Robustness of Deep Learning based Lung Nodule Classification for CT Images withrespect to Image Noise, accepted,Physics in Medicine and Biology, 2020
  6. M.Dohopolski,L.Chen,D.Sher,andJ. Wang*,Predicting Lymph Node Metastasis inPatients with Oropharyngeal Cancer by using Convolutional Neural Networks with associatedEpistemic and Aleatoric Uncertainty,Physics in Medicine and Biology,vol. 65, 225002, (10pp),2020
  7. Niu, S. Lua, Y. Zhang, X. Huang, Y. Zhong, G. Yu and J. Wang, Statistical image-based material decomposition for triple-energy computed tomography using total variation regularization, Journal of X-ray Science and Technology, 2020
  8. Zhou, K. Wang, M. Folkert, H. Liu, S. Jiang, D. Sher, J. Wang, Multifaceted radiomics for distant metastasis prediction in head & neck cancer, Physics in Medicine and Biology, vol., accepted, 2020 (News reported by Physics World
  9. Xing, Y. Zhang (co-first author), D. Nguyen, M. Lin, W. Lu, S. Jiang, " Boosting radiotherapy dose calculation accuracy with deep learning", Journal of Applied Clinical Medical Physics, (2020).
  10. Parsons, Y. Zhang, X. Gu, W. Lu, " POD-DOSI: A Dedicated Dosimetry System for GammaPod Commissioning and Quality Assurance ", Medical Physics, accepted.
  11. Peng, T. C. Xu, Y. Wang, H. Zhou, S. Candemir, W. M. D. Wan-Zaki, S-J Ruan, X. Chen and J. Wang, Hybrid Automatic Lung Segmentation on Chest CT Scans, IEEEE Access, accepted, 2020
  12. George-Jones, K. Wang, J. Wang, and J. Hunter, Automated Detection of Vestibular Schwannoma Growth Using a two-dimensional U-Net Convolutional Neural Network, The Laryngoscope, accepted, 2020.
  13. Huang, Y. Zhang, L. Chen, and J. Wang, U-net-based Deformation Vector Field Estimation for Motion-Compensated 4D-CBCT Reconstruction, Medical Physics, vol. 47, pp. 3000-3012, 2020 (Highlighted Article, July Issue, 2020)
  14. Zhou, S. Li, G. Qin, M. Folkert, S. Jiang, and J. Wang, Multi-objective based radiomic feature selection for lesion malignancy classification, IEEE Journal of Biomedical and Health Informatics, vol. 24, pp. 194-204, 2020
  15. Chen, X. Liang, C. Shen, S. Jiang and J. Wang, Synthetic CT Generation from CBCT images via Deep Learning, Medical Physics, vol. 47, pp. 1115-1125, 2020


  1. Shen, Y. Ren, M. Tsai, L. Chen, J. Wang, S. Li, Y. Liu, and X. Jia, A Manifold Learning Regularization Approach to Enhance 3D CT Image-based Lung Nodule Classification, International Journal of Computer Assisted Radiology and Surgery, vol. 15, pp. 287-295, 2019
  2. (Top 10% most downloaded papers for JACMP) Zhang, A. H. Le (co-first author), Z. Tian, T. Chiu, X. Gu, A. Pugachev, R. Reynolds, Y. Park, M.H. Lin, S. Stojadinovic, " Modeling Elekta VersaHD using the Varian Eclipse treatment planning system for photon beams: a single-institution experience ", Journal of Applied Clinical Medical Physics, (2019).
  3. Zhang, T. Chiu, J. Dubas, Z. Tian, P. Lee, X. Gu, Y. Yan, D. Sher, R. Timmerman, B. Zhao, " Benchmarking Techniques for Stereotactic Body Radiotherapy for Early-Stage Glottic Laryngeal Cancer: LINAC-Based Non-Coplanar VMAT vs. Cyberknife Planning", Radiation Oncology, 14:193 (2019).
  4. Chen , F. F. Yin, Y. Zhang, Y. Zhang, L. Ren, " Low dose cone-beam computed tomography reconstruction via hybrid prior contour based total variation regularization (hybrid-PCTV) ", Quantitative Imaging in Medicine and Surgery 9(7), 1214-1228 (2019).
  5. Li, J. Wu, M. Palta, Y. Zhang, Y. Sheng, J. Zhang, C. Wang, “A Collimator Setting Optimization Algorithm for Dual-arc Volumetric Modulated Arc Therapy in Pancreas Stereotactic Body Radiation Therapy", Technology in Cancer Research and Treatment,1533033819870767 (2019).
  6. Chi, C. Shen, B. Li, Y. Zhang, M. Yang, M. Folkert, X. Jia, “ A method to reconstruct intra-fractional liver motion in rotational radiotherapy using linear fiducial markers ”, Physics in Medicine and Biology 64, 225013 (2019).
  7. Zhang, X. Huang, and J. Wang, Advanced 4-dimensional cone-beam computed tomography reconstruction by combining motion estimation, motion-compensated reconstruction, biomechanical modeling and deep learning, Visual Computing for Industry, Biomedicine, and Art, vol. 2, 23 (15pp), 2019
  8. Yang, Y. Wu, Z. Zhou, S. Li, G. Qin, L. Chen and J. Wang, A Collection Input Based Support Tensor Machine for Lesion Malignancy Classification in Digital Breast Tomosynthesis, Physics in Medicine and Biology, vol. 64, 235007, (10pp), 2019
  9. Wang, Y. Weng, Z. Zhou, L. Chen, H. Hao, and J. Wang, Multi-objective ensemble deep learning using electronic health records to predict outcomes after lung cancer radiotherapy, Physics in Medicine and Biology, vol. 64, 245005 (14pp), 2019
  10. Naseri, H. Rajabi, J. Wang, M. Abbasi, F. Kalantari, Simultaneous Respiratory Motion Correction and Image Reconstruction in 4D‐Multi Pinhole Small Animal SPECT,Medical Physics, vol. 46 , 2019
  11. Li, P. Xu, B Li, L. Chen, Z. Zhou, H. Hao, Y. Duan, M. Folkert, J. Ma, S. Jiang, S. Huang, and J. Wang, Predicting Lung Nodule Malignancies by Combining Deep Convolutional Neural Network and Handcrafted Features, Physics in Medicine and Biology, vol. 64, 175012 (16pp) , 2019
  12. Zhang, M. Folkert, B. Li, X. Huang, J. Meyer, T. Chiu, P. Lee, J. Tehrani, L. Rei, and J. Wang, Enhancing Liver Tumor Localization Accuracy by Prior-Knowledge-Guided Motion Modeling and A Biomechanical Model, Quantitative Imaging in Medicine and Surgery, vol. 9, pp. 1337-1349, 2019
  13. Shrestha, M-Y Tsai, N. Qin, Y. Zhang, X. Jia and J. Wang, Dosimetric Evaluation of 4D-CBCT Reconstructed by Simultaneous Motion Estimation and Image Reconstruction (SMEIR) for Carbon Ion Therapy of Lung Cancer, Medical Physics, vol. 46, pp. 4087-4094, 2019
  14. Liang+, L. Chen+, D. Nguyen, Z. Zhou, X. Gu, M. Yang, J. Wang*, S. Jiang, Generating Synthesized Computed Tomography (CT) from Cone-Beam Computed Tomography (CBCT) using CycleGAN for Adaptive Radiation Therapy, Physics in Medicine and Biology, vol. 64, 125002(13pp), 2019 (+co-first author, *co-corresponding author, Roberts’ Prize for best paper published in the journal Physics in Medicine and Biology in 2019)
  15. Chen, C. Shen, Z. Zhou, G. Maquilan, K. Albuquerque, M. R. Folkert, and J. Wang, Automatic PET Cervical Tumor Segmentation by Combining Deep Learning and Anatomic Prior, Physics in Medicine and Biology, vol. 64, 085019 (15pp), 2019
  16. Chen, Z. Zhou, D. Sher, Q. Zhang, J. Shah, N-L Pham, S. Jiang, and J. Wang, Combining Many-objective Radiomics and 3-dimensional Convolutional Neural Network through Evidential Reasoning to Predict Lymph Node Metastasis in Head and Neck Cancer, Physics in Medicine and Biology, vol. 64, 075011 (13pp), 2019 (News reported by Physics World
  17. Zhong, Y. Vinogradskiy, L. Chen, N. Myziuk, R. Castillo, E. Castillo, T. Guerrero, S. Jiang, and J. Wang, “Technical Note: Deriving ventilation imaging from 4DCT by deep convolutional neural network”, Medical Physics, vol. 46, pp. 232-2329, 2019
  18. Niu, Z. Bian, D. Zeng, G. Yu, J. Ma, J. Wang, Total image constrained diffusion tensor for spectral computed tomography reconstruction, Applied Mathematical Modelling, vol. 68, pp. 487-508, 2019
  19. Tan, K. Xaing, L. Liu, J. Wang* and S. Tan, Structure Tensor Total Variation for CBCT Reconstruction, Journal of X-ray Science and Technology, vol. 27, pp. 257-272, 2019 (*co-corresponding author)
  20. Zhang, M. Folkert, B. Li, X. Huang, J. Meyer, T. Chiu, P. Lee, J. Tehrani, J. Cai, D. Parsons, Ph.D., X. Jia, and J. Wang, 4D Liver Tumor Localization using Cone-Beam Projections and a Biomechanical Model, Radiotherapy and Oncology, vol. 133, pp.183-192, 2019


  1. Lee, J. Wang and W. Park, Efficient Mechanism Design and Systematic Operation Planning for Tube-Wire Flexible Needles,  Mechanisms Robotics, vol. 10(6), 065001 (Sep 17, 2018) (9 pages)
  2. Chen, F.F. Yin, Y. Zhang, Y. Zhang, L. Ren, " Low dose CBCT reconstruction via prior contour based total variation (PCTV) regularization: a feasibility study ", Physics in Medicine and Biology 63, 085014 (2018).
  3. Harris, F.F. Yin, C. Wang, Y. Zhang, J. Cai, L. Ren," Accelerating volumetric cine MRI (VC-MRI) using undersampling for real-time 3D target localization/tracking in radiation therapy: a feasibility study ", Physics in Medicine and Biology 63, 01NT01 (2018).
  4. Niu, Y. Zhang, Y. Zhong, G. Liu, S. Lu, X. Zhang, S. Hu, T. Wang, G. Yu, and J. Wang, Iterative reconstruction for photon-counting CT using prior image constrained total generalized variation, Computers in Biology and Medicine, vol. 103, pp. 167-182, 2018
  5. Story and J. Wang, Developing Predictive or Prognostic Biomarkers for Charged Particle Radiotherapy, International Journal of Particle Therapy, vol. 5, pp. 94-102, 2018 (Invited Review)
  6. Chen, Z. Zhou, R. Hannan, K. Thomas, I. Pedrosa, P. Kapur, J. Brugarolas, X. Mou and J. Wang, Reliable Gene Mutation Prediction in Clear Cell Renal Cell Carcinoma through Multi-classifier Multi-objective Radiogenomics Model, Physics in Medicine and Biology, vol. 63, 215008(16pp), 2018
  7. Iqbal, D. Luo, P. Henry, S. Kazemifar, T. Rozario, Y. Yan, K. Westover, W. Lu, D. Nguyen , T. Long, J. Wang, H. Choy, S. Jiang, Accurate Real Time Localization Tracking in A Clinical Environment Using Bluetooth Low Energy and Deep Learning, PLOS ONE, 13(10): e0205392, 2018
  8. Li, B. Li, Z. Zhou, N. Yang, H. Hao, M. Folkert, P. Iyengar, K. Westover, H. Choy, R. Timmerman, S. Jiang, and J. Wang, A pilot study using kernelled support tensor machine for distant failure prediction in lung SBRT, Medical Imaging Analysis, vol. 50, pp.106-116, 2018
  9. Zhang, D. Zeng, X. Tao, J. Wang, J. Ma, Regularization strategies in statistical image reconstruction of low-dose X-ray CT: A review, Medical Physics, vol. 45, e886-907, 2018 (Top downloaded paper published in Medical Physics in 2018-2019)
  10. Zhao, Y. Zhong, X. Duan, Y. Zhang, X. Huang, J. Wang, and M. Jin, “4D cone-beam computed tomography (CBCT) using a moving blocker for simultaneous radiation dose reduction and scatter correction", Physics in Medicine and Biology, vol. 63, 115007 (15pp), 2018
  11. Chen, K. Xiang, Z. Gong, J. Wang*, and S. Tan, Statistical Iterative CBCT Reconstruction Based on Neural Network, IEEE Trans. on Medical Imaging, vol. 37, pp. 1511-1521, 2018 (*co-corresponding author)
  12. Chen, G. Maquilan, K. Thomas, C. Shen, Z. Zhou, M. Folkert, K. Albuquerque and J. Wang, Segmenting cervical tumors in 3D PET based on similarity between adjacent slices, Computers in Biology and Medicine, vol. 97, pp. 30-36, 2018
  13. Hao, Z. Zhou, S. Li, G. Maquilan, M. Folkert, P. Iyengar, K. Westover, K. Albuquerque, F. Liu, H. Choy, R. Timmerman, L. Yang, and J. Wang, Shell: a new radiomics descriptor for predicting distant failure after radiotherapy in non-small cell lung cancer and cervical cancer, Physics in Medicine and Biology, vol. 63, 095007 (17pp) 2018
  14. Zhong, F. Kalantari, Y. Zhang, Y. Shao, and J. Wang, Quantitative 4D-PET reconstruction for small animal using SMEIR-reconstructed 4D-CBCT, IEEE Transactions on Radiation and Plasma Medical Sciences, vol. 2, pp. 300-306, 2018
  15. Shrestha, N. Qin, Y. Zhang, F. Kalantari, S. Niu, X. Jia, A. Pompos, S. Jiang and J. Wang, Iterative reconstruction with boundary detection for carbon ion computed tomography, Physics in Medicine and Biology, vol. 63, 055002 (16pp), 2018
  16. Huang, Y. Zhang and J. Wang, A biomechanical modeling-guided simultaneous motion estimation and image reconstruction technique (SMEIR-Bio) for 4D-CBCT reconstruction, Physics in Medicine and Biology, vol. 63, 045002(15pp), 2018
  17. Niu, G. Yu, J. Ma and J. Wang, Nonlocal low-rank and sparse matrix decomposition for spectral CT reconstruction, Inverse Problems, vol. 34, 024003(20pp), 2018


  1. Zhang, L. Ren, I. Vergalasova, F.F. Yin, " Clinical study of orthogonal-view phase-matched digital tomosynthesis for lung tumor localization ", Technology in Cancer Research and Treatment, 1533034617705716 (2017).
  2. Harris, Y. Zhang, F.F. Yin, L. Ren, " Estimating 4D-CBCT from prior information and extremely limited angle projections using structural PCA and weighted free-form deformation for lung radiotherapy ", Medical Physics 44 (2017).
  3. Ouyang, M. Folkerts, Y. Zhang, B. Hrycushko, R. Lamphier, P. Lee, E. Chambers, E. Ramirez, R. Reynolds, Y. Yan, S. Jiang, R. Timmerman, N. Desai, R. Abdulrahman and X. Gu, " Volumetric modulated arc therapy based total body irradiation: workflow and clinical experience with an indexed rotational immobilization system ", Physics and Imaging in Radiation Oncology 4, 22-25 (2017).
  4. Zhang, F.F. Yin, Y. Zhang, L. Ren, " Reducing scan angle using adaptive prior knowledge for a limited-angle intrafraction verification (LIVE) system for conformal arc radiotherapy ", Physics in Medicine and Biology 62, 3859-3882 (2017).
  5. Mao, L. Tian, Y. Zhang, L. Ren, R. Gao, F.F. Yin and H. Ge, " Dosimetric analysis of microscopic disease in SBRT for lung cancers ", Technology in Cancer Research and Treatment, 1533034617734689 (2017).
  6. Zhang, Y. Zhang, Y. Zhang, W. Harris, F.F. Yin, J. Cai and L. Ren, " Markerless 4D-CBCT projection phase sorting using prior knowledge and patient motion modeling: a feasibility study ", Cancer Translational Medicine 3,185-193 (2017).
  7. Zhao, X. Chen, L. Ouyang, J. Wang and M. Jin, Robust moving-blocker scatter correction for cone-beam computed tomography using multiple-view information, PLOS ONE, 12(12): e0189620, 2017
  8. Liu, X. Li, K. Xiang, J. Wang*, and S. Tan, Low-dose CBCT Reconstruction Using Hessian Schatten Penalties, IEEE Trans. on Medical Imaging, vol. 36, pp. 2588-2599, 2017 (*co-corresponding author)
  9. Bai, H. Yan, L. Ouyang, D. Staub, J. Wang, X. Jia, S. Jiang, and X. Mou, “Data correlation based noise level estimation for cone beam projection data”, Journal of X-ray Science and Technology, vol. 25, pp. 907-926, 2017
  10. Zhang, J. Ma, J. Wang, W. Moore, and Z. Liang, “Assessment of prior image induced nonlocal means regularization for low-dose CT reconstruction: change in anatomy”, Medical Physics, vol. 44, pp. e264-e278, 2017
  11. Zhang, J. Ma, P. Iyengar, Y. Zhong, and J. Wang, A New CT Reconstruction Technique Using Adaptive Deformation Recovery and Intensity Correction (ADRIC), Medical Physics, vol. 44, pp. 2223-2241, 2017
  12. Zhou, M. Folkert, P. Iyengar, K. Westover, Y. Zhang, H. Choy, R. Timmerman, S. Jiang, and J. Wang, “Multi-objective radiomics model for predicting distant failure in lung SBRT", Physics in Medicine and Biology, vol. 62, pp. 4460-4478, 2017
  13. Chen, L. Ouyang, H. Yan, X. Jia, B. Li, Q. Lyu, Y. Zhang and J. Wang, Optimization of the Geometry and Speed of a Moving Blocker System for Cone-beam Computed Tomography Scatter Correction, Medical Physics, vol. 44, pp. e215-e229, 2017
  14. Zhang, J. Nasehi, and J. Wang, A Biomechanical Modeling Guided CBCT Estimation Technique, IEEE Trans. on Medical Imaging, vol.36, pp. 641-652, 2017
  15. Zhang, D. Zeng, H. Zhang, Z. Liang, J. Wang, and J. Ma, Applications of nonlocal means algorithm in low-dose X-ray CT image processing and reconstruction: a review, Medical Physics, vol. 44, pp. 1168-1185, 2017
  16. Kalantari, and J. Wang Attenuation correction in 4D-PET using a single-phase attenuation map, Medical Physics, vol. 44, pp 522-532, 2017



  1. Ren, Y. Chen, Y. Zhang, W. Giles, J. Jin, F.F. Yin, " Scatter reduction and correction for dual-source cone-beam CT using prepatient grids ", Technology in Cancer Research and Treatment 15, 416-427 (2016).
  2. Harris, L. Ren, J. Cai, Y. Zhang, Z. Chang, F.F. Yin, " A technique for generating volumetric cine-magnetic resonance imaging ", International Journal of Radiation Oncology, Biology, Physics 95, 844-853 (2016).
  3. Zhang, L. Ren, V. Kong, W. Giles, Y. Zhang, J.Y. Jin, " An interprojection sensor fusion approach to estimate blocked projection signal in synchronized moving grid-based CBCT system ", Medical Physics 43, 268 (2016).
  4. Nasehi, A. McEwan, and J. Wang, Lung Surface Deformation Prediction from Spirometry Measurement and Chest Wall Surface Motion, Medical Physics, vol. 43, pp. 5493-5502, 2016
  5. Dang, F-F Yin, T. You, C. Dai, D. Chen and J. Wang, Simultaneous 4D-CBCT reconstruction with sliding motion constraint, Medical Physics, , vol. 43, pp. 5453-5463, 2016
  6. Shi, N. Sun, T. Sun, J. Wang*, and S. Tan, Structure Adaptive CBCT Reconstruction Using Weighted Total Variation and Hessian Penalty, Biomedical Optics Express, vol. 7, pp. 3299-3322, 2016 (*co-corresponding author)
  7. Kalantari, T. Li, M Jin, J. Wang, Respiratory Motion Correction in 4D-PET by Simultaneous Motion Estimation and Image Reconstruction (SMEIR), Physics in Medicine and Biology, vol. 61, pp. 5639-5661, 2016
  8. Zhou, M. Folkert, N. Cannon, P. Iyengar, K. Westover, Y. Zhang, H. Choy, R. Timmerman, S. Jiang, J. Yan, X-J Xie, and J. Wang, Predicting distant failure in early stage NSCLC treated with SBRT using clinical parameters, Radiotherapy and Oncology, vol. 119, pp. 501-504, 2016
  9. Li, Q. Lyu, J. Ma, and J. Wang, Iterative Reconstruction for CT Perfusion with a Prior-image Induced Hybrid Nonlocal Means Regularization, Medical Physics,  43, pp. 1688-16992016
  10. Zhong, X. Gu, W. Mao, and J. Wang, 4D Cone-Beam CT Reconstruction Using Multi-Organ Meshes for Sliding Motion Modeling, Physics in Medicine and Biology, vol. 61, pp. 996-1020, 2016
  11. Zhong, X. Guo, Y. Cai, Y. Yang, J. Wang, X. Jia and W. Mao, 3D-2D Deformable Image Registration Using Feature-Based Non-uniform Meshes, BioMed Research International, volume 2016, Article ID 4382854, 19 pages, 2016


  1. Zhang, F.F. Yin, L. Ren, " Dosimetric verification of lung cancer treatment using the CBCTs estimated from limited-angle on-board projections ", Medical Physics 42, 4783-4795 (2015).
  2. Zhang, F.F. Yin, T. Pan, I. Vergalasova, L. Ren, " Preliminary clinical evaluation of a 4D-CBCT estimation technique using prior information and limited-angle projections ", Radiotherapy and Oncology 115, 22-29 (2015).
  3. Sheng, T. Li, Y. Zhang, W.R. Lee, F.F. Yin, Y. Ge, Q.J. Wu, " Atlas-guided prostate intensity modulated radiation therapy (IMRT) planning ", Physics in Medicine and Biology 60, 7277-7291 (2015).
  4. Yang, H. Wang, Y. Zhang, Y. Yin, " Evaluation of GMI and PMI diffeomorphic-based demons algorithms for aligning PET and CT Images ", Journal of Applied Clinical Medical Physics 16, 5148 (2015).
  5. Nasehi, Y. Yang, R. Werner, W. Lu, D. Low, X. Guo, and J. Wang, "Sensitivity of Tumor Motion Simulation Accuracy to Lung Biomechanical Modeling Approaches and Parameters”, Physics in Medicine and Biology, vol. 60, pp. 8833-8849, 2015
  6. Ouyang, P. Lee, and J. Wang, "A moving-blocker-based strategy for simultaneous megavoltage and kilovoltage scatter correction in cone-beam computed tomography image acquired during volumetric modulated arc therapy", Radiotherapy and Oncology, vol. 115, pp. 425-430, 2015
  7. Xu, H. Yan, L. Ouyang, J. Wang, L. Zhou, L. Cervino, S. Jiang and X. Jia, "A method for volumetric imaging in radiotherapy using single x-ray projection", Medical Physics, vol.42, pp. 2498-2509, 2015
  8. Xu, T. Bai, H. Yan, L. Ouyang, Luo, A. Pompos, J. Wang, L. Zhou, S. Jiang, and X. Jia, "A practical cone-beam CT scatter correction method with optimized Monte Carlo simulations for image-guided radiation therapy", Physics in Medicine and Biology, vol. 60, pp. 3567-3587 , 2015
  9. Zhang, J. Ma, J. Wang, Y. Liu, H. Han, H. Lu, W. Moore and Z. Liang, “Statistical image reconstruction for low-dose CT using nonlocal means-based regularization. Part II: An adaptive approach”, Computerized Medical Imaging and Graphics, vol. 43, pp. 26-35, 2015
  10. Sun, N. Sun, J. Wang*, and S. Tan, "Iterative CBCT reconstruction using hessian penalty", Physics in Medicine and Biology,  60, pp.1965-1987, 2015 (*co-corresponding author)
  11. Kearney, X. Gu, T. Chiu, H. Liu, S. Chen, J. Wang, J. Yordy, L. Nedzi, M. Mao, “Landmark-guided deformable image registration”, Physics in Medicine and Biology, vol. 60, pp. 101-116, 2015
  12. Dang, X. Gu , T. Pan and J. Wang, "A pilot clinical evaluation of a 4D-CBCT scheme based on Simultaneous Motion Estimation and Image Reconstruction", Int J Radiat Oncol Biol Phys, vol. 91, pp. 410-418, 2015
  13. Dang, L. Ouyang, X. Gu and J. Wang, "Deformation vector fields (DVF)-driven image reconstruction for 4D-CBCT", Journal of X-ray Science and Technology, vol. 23, pp. 11-23, 2015


  1. Cai, Y. Zhang, I. Vergalasova, F. Zhang, W. Segars, F. Yin, " An integrated simulation system based on digital human phantom for 4D radiation therapy of lung cancer ", Journal of Cancer Therapy 5, 749-758 (2014).
  2. Ren, Y. Zhang, F.F. Yin, " A limited-angle intrafraction verification (LIVE) system for radiation therapy ", (Medical Physics Letter) Medical Physics 41, 020701 (2014).
  3. Zhang, L. Ouyang, J. Huang, J. Ma, W. Chen, and J. Wang, "Few-view cone-Beam CT Reconstruction with Deformed Prior Image", Medical Physics, vol. 41, 121905 (9 pp) 2014
  4. Lu, H. Yan, X. Gu, Z. Tian, L. Ouyang, L. Yang, L. Zhou, L. Cervino, J. Wang, S. Jiang, and X. Jia, Reconstructing cone-beam CT with spatially varying quality for adaptive radiotherapy, a proof-of-principle study, Physics in Medicine and Biology,  59, pp. 6251-6266, 2014
  5. Liu, J. Ma, H. Zhang, J. Wang and Z. Liang, “Low-mAs X-ray CT image reconstruction by adaptive-weighted TV constrained penalized re-weighted least-squares”, Journal of X-ray Science and Technology, 22, pp. 437-457, 2014
  6. Zhang, J. Ma, J. Wang, J. Huang, Y. Liu, H. Han, and Z. Liang, “Statistical iterative reconstruction for low-dose CT using nonlocal means-based regularization”, Computerized Medical Imaging and Graphics, vol.38, pp. 423-435, 2014
  7. Zhang, H. Han, J. Wang, J. Ma, Y. Liu, W. Moore, Z. Liang, "Deriving adaptive MRF coefficients from previous normal-dose CT scan for low-dose image reconstruction via penalized weighted least-squares minimization", Medical Physics, vol. 41, 041916(15 pp), 2014
  8. Zhang, L. Ouyang, J. Ma, J. Huang, W. Chen, and J. Wang, “Noise Correlation in CBCT Projection Data and its Application for Noise Reduction in Low-dose CBCT”, Medical Physics, vol. 41, 031906 (10 pp), 2014


  1. Zhang, F.F. Yin, W.P. Segars, L. Ren, " A technique for estimating 4D-CBCT using prior knowledge and limited-angle projections ", Medical Physics 40, 121701 (2013).
  2. Zhang, L. Ren, C.C. Ling, F.F. Yin, " Respiration-phase-matched digital tomosynthesis imaging for moving target verification: a feasibility study ", Medical Physics 40, 071723 (2013).
  3. Li, Q. Wu, Y. Zhang, I. Vergalasova, W.R. Lee, F.F. Yin, Q.J. Wu, " Strategies for automatic online treatment plan reoptimization using clinical treatment planning system: a planning parameters study ", Medical Physics 40, 111711 (2013).
  4. Wang, "Iterative image reconstruction algorithms for CT metal artifacts reduction: a review", Recent patents on Medical Imaging, vol. 3, pp. 111-117, 2013 (Invited Review)
  5. Wang and X. Gu, "Simultaneous motion estimation and image reconstruction (SMEIR) for 4D cone-beam CT", Medical Physics, vol. 40, pp. 101912 (11 pp), 2013
  6. Ouyang, K. Song, and J. Wang, "A moving blocker system for cone-beam computed tomography scatter correction", Medical Physics, vol. 40,  pp. 071903 (9pp), 2013
  7. Gu, B. Dong, J. Wang, J. Yordy, L. Mell, X. Jia, and S. Jiang, "A contour-Guided deformable image registration algorithm for adaptive radiotherapy", Physics in Medicine and Biology,  58, pp. 1889-1901, 2013
  8. Wang and X. Gu, "High quality four dimensional cone-beam CT by deforming prior
    images", Physics in Medicine and Biology,  58, pp. 231-246, 2013

2012 & prior:

  1. Wang, J. Robar, and H. Guan, "Noise suppression in reconstruction low-Z target MV CBCT images", Medical Physics, vol. 39, pp 5111-5117, 2012
  2. Ouyang, T. Solberg, and J. Wang, " Noise reduction in low-dose cone beam CT by incorporating prior volumetric image information", Medical Physics, vol. 39, pp. 2569-2577, 2012
  3. Yang, Z. Zhong, G. Rong, X. Guo, J. Wang, T. Solberg, and W. Mao, "A novel markerless technique to evaluate daily lung tumor motion based on conventional cone-beam CT projection data", Int J Radiat Oncol Biol Phys, vol.75, pp 749-756, 2012
  4. Ouyang, T. Solberg, and J. Wang, " Effects of the penalty to penalized weighted least-squares image reconstruction for low-dose CBCT", Physics in Medicine and Biology, vol. 56, pp. 5535-5552, 2011
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