Deep convolutional neural network with transfer learning for rectum toxicity prediction in cervical cancer radiotherapy: a feasibility study X Zhen, J Chen, Z Zhong, B Hrycushko, L Zhou, S Jiang, K Albuquerque, ... Physics in Medicine & Biology 62 (21), 8246, 2017 | 182 | 2017 |
A deep convolutional neural network-based automatic delineation strategy for multiple brain metastases stereotactic radiosurgery Y Liu, S Stojadinovic, B Hrycushko, Z Wardak, S Lau, W Lu, Y Yan, ... PloS one 12 (10), e0185844, 2017 | 179 | 2017 |
CT to cone-beam CT deformable registration with simultaneous intensity correction X Zhen, X Gu, H Yan, L Zhou, X Jia, SB Jiang Physics in Medicine & Biology 57 (21), 6807, 2012 | 86 | 2012 |
Radiomics of small renal masses on multiphasic CT: accuracy of machine learning–based classification models for the differentiation of renal cell carcinoma and angiomyolipoma … R Yang, J Wu, L Sun, S Lai, Y Xu, X Liu, Y Ma, X Zhen European radiology 30, 1254-1263, 2020 | 83 | 2020 |
Feasibility study of a multi-criteria decision-making based hierarchical model for multi-modality feature and multi-classifier fusion: Applications in medical prognosis prediction Q He, X Li, DWN Kim, X Jia, X Gu, X Zhen, L Zhou Information Fusion 55, 207-219, 2020 | 59 | 2020 |
Digital breast tomosynthesis versus digital mammography: integration of image modalities enhances deep learning-based breast mass classification X Li, G Qin, Q He, L Sun, H Zeng, Z He, W Chen, X Zhen, L Zhou European radiology 30, 778-788, 2020 | 54 | 2020 |
Automatic treatment plan re-optimization for adaptive radiotherapy guided with the initial plan DVHs N Li, M Zarepisheh, A Uribe-Sanchez, K Moore, Z Tian, X Zhen, ... Physics in Medicine & Biology 58 (24), 8725, 2013 | 52 | 2013 |
Comprehensive evaluation of ten deformable image registration algorithms for contour propagation between CT and cone-beam CT images in adaptive head & neck radiotherapy X Li, Y Zhang, Y Shi, S Wu, Y Xiao, X Gu, X Zhen, L Zhou PloS one 12 (4), e0175906, 2017 | 50 | 2017 |
Deformable image registration of CT and truncated cone-beam CT for adaptive radiation therapy X Zhen, H Yan, L Zhou, X Jia, SB Jiang Physics in Medicine & Biology 58 (22), 7979, 2013 | 48 | 2013 |
An anthropomorphic abdominal phantom for deformable image registration accuracy validation in adaptive radiation therapy Y Liao, L Wang, X Xu, H Chen, J Chen, G Zhang, H Lei, R Wang, S Zhang, ... Medical physics 44 (6), 2369-2378, 2017 | 39 | 2017 |
A hybrid reconstruction algorithm for fast and accurate 4D cone‐beam CT imaging H Yan, X Zhen, M Folkerts, Y Li, T Pan, L Cervino, SB Jiang, X Jia Medical physics 41 (7), 071903, 2014 | 39 | 2014 |
Investigating rectal toxicity associated dosimetric features with deformable accumulated rectal surface dose maps for cervical cancer radiotherapy J Chen, H Chen, Z Zhong, Z Wang, B Hrycushko, L Zhou, S Jiang, ... Radiation oncology 13, 1-10, 2018 | 35 | 2018 |
A recursive ensemble organ segmentation (REOS) framework: application in brain radiotherapy H Chen, W Lu, M Chen, L Zhou, R Timmerman, D Tu, L Nedzi, Z Wardak, ... Physics in Medicine & Biology 64 (2), 025015, 2019 | 34 | 2019 |
A segmentation and point-matching enhanced efficient deformable image registration method for dose accumulation between HDR CT images X Zhen, H Chen, H Yan, L Zhou, LK Mell, CM Yashar, S Jiang, X Jia, X Gu, ... Physics in Medicine & Biology 60 (7), 2981, 2015 | 32 | 2015 |
Image restoration for low-dose CT via transfer learning and residual network A Zhong, B Li, N Luo, Y Xu, L Zhou, X Zhen IEEE Access 8, 112078-112091, 2020 | 31 | 2020 |
Progressive cone beam CT dose control in image‐guided radiation therapy H Yan, X Zhen, L Cerviño, SB Jiang, X Jia Medical physics 40 (6Part1), 060701, 2013 | 31 | 2013 |
A hierarchical fusion framework to integrate homogeneous and heterogeneous classifiers for medical decision-making L Wang, T Mo, X Wang, W Chen, Q He, X Li, S Zhang, R Yang, J Wu, X Gu, ... Knowledge-Based Systems 212, 106517, 2021 | 25 | 2021 |
Prediction of microvascular invasion in hepatocellular carcinoma with a multi-disciplinary team-like radiomics fusion model on dynamic contrast-enhanced computed tomography W Zhang, R Yang, F Liang, G Liu, A Chen, H Wu, S Lai, W Ding, X Wei, ... Frontiers in oncology 11, 660629, 2021 | 23 | 2021 |
Evaluation of deformable image registration for contour propagation between CT and cone-beam CT images in adaptive head and neck radiotherapy X Li, YY Zhang, YH Shi, LH Zhou, X Zhen Technology and Health Care 24 (s2), S747-S755, 2016 | 18 | 2016 |
Fuhrman nuclear grade prediction of clear cell renal cell carcinoma: influence of volume of interest delineation strategies on machine learning-based dynamic enhanced CT … S Luo, R Wei, S Lu, S Lai, J Wu, Z Wu, X Pang, X Wei, X Jiang, X Zhen, ... European radiology, 1-11, 2022 | 15 | 2022 |