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Jon Xue
Jon Xue
R&D VP, United Imaging Intelligence
Verified email at mias.us
Title
Cited by
Cited by
Year
Lung infection quantification of COVID-19 in CT images with deep learning
F Shan, Y Gao, J Wang, W Shi, N Shi, M Han, Z Xue, D Shen, Y Shi
arXiv preprint arXiv:2003.04655, 2020
5242020
Morphological classification of brains via high-dimensional shape transformations and machine learning methods
Z Lao, D Shen, Z Xue, B Karacali, SM Resnick, C Davatzikos
Neuroimage 21 (1), 46-57, 2004
3922004
The role of imaging in the detection and management of COVID-19: a review
D Dong, Z Tang, S Wang, H Hui, L Gong, Y Lu, Z Xue, H Liao, F Chen, ...
IEEE reviews in biomedical engineering 14, 16-29, 2020
2602020
Segmenting lung fields in serial chest radiographs using both population-based and patient-specific shape statistics
Y Shi, F Qi, Z Xue, L Chen, K Ito, H Matsuo, D Shen
IEEE Transactions on medical Imaging 27 (4), 481-494, 2008
1682008
Coding distortion removal method, moving picture coding method, moving picture decoding method, and apparatus for realizing the same, program
S Kadono, SM Shen, TW Foo, CJ Lee, Z Xue
US Patent 7,095,787, 2006
1442006
Wearable sensing and telehealth technology with potential applications in the coronavirus pandemic
X Ding, D Clifton, N Ji, NH Lovell, P Bonato, W Chen, X Yu, Z Xue, ...
IEEE reviews in biomedical engineering 14, 48-70, 2020
1322020
Multimodality image registration by maximization of quantitative–qualitative measure of mutual information
H Luan, F Qi, Z Xue, L Chen, D Shen
Pattern Recognition 41 (1), 285-298, 2008
1272008
CLASSIC: consistent longitudinal alignment and segmentation for serial image computing
Z Xue, D Shen, C Davatzikos
NeuroImage 30 (2), 388-399, 2006
1202006
Adversarial similarity network for evaluating image alignment in deep learning based registration
J Fan, X Cao, Z Xue, PT Yap, D Shen
International Conference on Medical Image Computing and Computer-Assisted …, 2018
1052018
Automated brain tumor segmentation using spatial accuracy-weighted hidden Markov Random Field
J Nie, Z Xue, T Liu, GS Young, K Setayesh, L Guo, STC Wong
Computerized Medical Imaging and Graphics 33 (6), 431-441, 2009
992009
Statistical representation of high-dimensional deformation fields with application to statistically constrained 3D warping
Z Xue, D Shen, C Davatzikos
Medical image analysis 10 (5), 740-751, 2006
982006
Simulating deformations of MR brain images for validation of atlas-based segmentation and registration algorithms
Z Xue, D Shen, B Karacali, J Stern, D Rottenberg, C Davatzikos
NeuroImage 33 (3), 855-866, 2006
902006
Determining correspondence in 3-D MR brain images using attribute vectors as morphological signatures of voxels
Z Xue, D Shen, C Davatzikos
IEEE transactions on medical imaging 23 (10), 1276-1291, 2004
882004
Coding distortion removal method, video encoding method, video decoding method, and apparatus and program for the same
Z Xue, S Shen, T Foo, C Lee, S Kadono
US Patent App. 10/466,549, 2004
832004
A hybrid approach to automatic clustering of white matter fibers
H Li, Z Xue, L Guo, T Liu, J Hunter, STC Wong
NeuroImage 49 (2), 1249-1258, 2010
812010
Coding distortion removal method, video encoding method, video decoding method, and apparatus and program for the same
Z Xue, SM Shen, TW Foo, CJ Lee, S Kadono
US Patent App. 11/928,429, 2008
812008
Network‐based analysis reveals stronger local diffusion‐based connectivity and different correlations with oral language skills in brains of children with high functioning …
H Li, Z Xue, TM Ellmore, RE Frye, STC Wong
Human brain mapping 35 (2), 396-413, 2014
792014
Methods of Dendritic Spine Detection: from Golgi to High Resolution Optical Imaging
JJ Mancuso, Y Chen, X Li, Z Xue, TC Wong Stephen
Neuroscience, 2012
772012
Abnormal lung quantification in chest CT images of COVID‐19 patients with deep learning and its application to severity prediction
F Shan, Y Gao, J Wang, W Shi, N Shi, M Han, Z Xue, D Shen, Y Shi
Medical physics 48 (4), 1633-1645, 2021
762021
Deep learning based inter-modality image registration supervised by intra-modality similarity
X Cao, J Yang, L Wang, Z Xue, Q Wang, D Shen
International workshop on machine learning in medical imaging, 55-63, 2018
742018
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