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Chai Xiangfei
Chai Xiangfei
Postdoc, Department of Radiation Oncology, Stanford Univeristy
Verified email at stanford.edu
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Fully automatic segmentation of type B aortic dissection from CTA images enabled by deep learning
L Cao, R Shi, Y Ge, L Xing, P Zuo, Y Jia, J Liu, Y He, X Wang, S Luan, ...
European journal of radiology 121, 108713, 2019
762019
Behavior of lipiodol markers during image guided radiotherapy of bladder cancer
X Chai, M van Herk, JB van de Kamer, P Remeijer, A Bex, A Betgen, ...
International Journal of Radiation Oncology* Biology* Physics 77 (1), 309-314, 2010
692010
Diagnosis of benign and malignant thyroid nodules using combined conventional ultrasound and ultrasound elasticity imaging
P Qin, K Wu, Y Hu, J Zeng, X Chai
IEEE Journal of Biomedical and Health Informatics 24 (4), 1028-1036, 2019
562019
Generative adversarial networks in medical image segmentation: A review
S Xun, D Li, H Zhu, M Chen, J Wang, J Li, M Chen, B Wu, H Zhang, ...
Computers in biology and medicine 140, 105063, 2022
552022
Radiomics for diagnosis of dual-phenotype hepatocellular carcinoma using Gd-EOB-DTPA-enhanced MRI and patient prognosis
X Huang, L Long, J Wei, Y Li, Y Xia, P Zuo, X Chai
Journal of cancer research and clinical oncology 145, 2995-3003, 2019
452019
Finite element based bladder modeling for image‐guided radiotherapy of bladder cancer
X Chai, M Van Herk, JB Van De Kamer, MCCM Hulshof, P Remeijer, ...
Medical physics 38 (1), 142-150, 2011
452011
Automatic bladder segmentation on CBCT for multiple plan ART of bladder cancer using a patient-specific bladder model
X Chai, M van Herk, A Betgen, M Hulshof, A Bel
Physics in Medicine & Biology 57 (12), 3945, 2012
392012
Interpretable machine learning for covid-19: An empirical study on severity prediction task
H Wu, W Ruan, J Wang, D Zheng, B Liu, Y Geng, X Chai, J Chen, K Li, ...
IEEE Transactions on Artificial Intelligence, 2021
282021
Potential feature exploration and model development based on 18F-FDG PET/CT images for differentiating benign and malignant lung lesions
R Zhang, L Zhu, Z Cai, W Jiang, J Li, C Yang, C Yu, B Jiang, W Wang, ...
European Journal of Radiology 121, 108735, 2019
282019
Control over structure‐specific flexibility improves anatomical accuracy for point‐based deformable registration in bladder cancer radiotherapy
S Wognum, L Bondar, AG Zolnay, X Chai, M Hulshof, MS Hoogeman, ...
Medical Physics 40 (2), 021702, 2013
272013
A voxel‐based finite element model for the prediction of bladder deformation
X Chai, M van Herk, MCCM Hulshof, A Bel
Medical physics 39 (1), 55-65, 2012
212012
Generic method for automatic bladder segmentation on cone beam CT using a patient‐specific bladder shape model
A Van De Schoot, G Schooneveldt, S Wognum, MS Hoogeman, X Chai, ...
Medical physics 41 (3), 031707, 2014
192014
Development and validation of a magnetic resonance imaging-based machine learning model for TMJ pathologies
K Orhan, L Driesen, S Shujaat, R Jacobs, X Chai
BioMed Research International 2021, 2021
172021
Automatic multiorgan segmentation in CT images of the male pelvis using region‐specific hierarchical appearance cluster models
D Li, P Zang, X Chai, Y Cui, R Li, L Xing
Medical Physics 43 (10), 5426-5436, 2016
152016
An original neural network for pulmonary tuberculosis diagnosis in radiographs
J Liu, Y Liu, C Wang, A Li, B Meng, X Chai, P Zuo
Artificial Neural Networks and Machine Learning–ICANN 2018: 27th …, 2018
122018
Semiautomatic bladder segmentation on CBCT using a population-based model for multiple-plan ART of bladder cancer
X Chai, M van Herk, A Betgen, M Hulshof, A Bel
Physics in Medicine & Biology 57 (24), N525, 2012
82012
Fine-grained assessment of COVID-19 severity based on clinico-radiological data using machine learning
H Liu, J Wang, Y Geng, K Li, H Wu, J Chen, X Chai, S Li, D Zheng
International Journal of Environmental Research and Public Health 19 (17), 10665, 2022
32022
Finite element-based biomechanical modeling of the bladder for image guided radiotherapy
X Chai, JB van de Kamer, M van Herk, M Hulshof, P Remeijer, F Pos, ...
World Congress on Medical Physics and Biomedical Engineering, September 7-12 …, 2009
32009
Is ai model interpretable to combat with covid? an empirical study on severity prediction task
H Wu, W Ruan, J Wang, D Zheng, S Li, J Chen, K Li, X Chai, S Helal
22020
Interpretable Machine Learning for COVID-19: An Empirical Study on Severity Prediction Task (preprint)
H Wu, W Ruan, J Wang, D Zheng, B Liu, Y Gen, X Chai, J Chen, K Li, S Li, ...
2021
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