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Zhong Xue, PhD

Assistant Professor of Systems Medicine and Bioengineering, Institute for Academic Medicine
Assistant Member, Research Institute
Houston Methodist
Weill Cornell Medical College


zxue@houstonmethodist.org
Education & Training

Postdoctoral Fellowship , Department of Radiology, Johns Hopkins University, Baltimore, MD
Postdoctoral Fellowship , Department of Radiology, University of Pennsylvania, Philadelphia, PA
PhD , Nanyang Technological University
Publications

Transductive local fisher discriminant analysis for gene expression profile-based cancer classification
Li, D, Wang, L, Wang, J, Xue, Z & Wong, STC 2017, . in 2017 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2017., 7897202, IEEE, pp. 49-52, 4th IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2017, Orlando, United States, 16-19 February. DOI:

Learning and predicting respiratory motion from 4D CT lung images
He, T & Xue, Z 2016, . in Machine Learning and Medical Imaging. Academic Press, pp. 335.

A three-dimensional medical image segmentation app using graphic theory
He, T, Xue, Z & Wong, ST 2016, . in 3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016., 7455886, IEEE, pp. 268-271, 3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016, Las Vegas, United States, 24-27 February. DOI:

When discriminative K-means meets Grassmann manifold: Disease gene identification via a general multi-view clustering method
Li, D, Wang, L, Xue, Z & Wong, STC 2016, . in 3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016., 7455910, IEEE, pp. 364-367, 3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016, Las Vegas, United States, 24-27 February. DOI:

Transductive maximum margin classification of ADHD using resting state fMRI
Wang, L, Li, D, He, T, Wong, STC & Xue, Z 2016, . in Machine Learning in Medical Imaging - 7th International Workshop, MLMI 2016 held in conjunction with MICCAI 2016, Proceedings. vol. 10019 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10019 LNCS, Springer Verlag, pp. 221-228, 7th International Workshop on Machine Learning in Medical Imaging, MLMI 2016 held in conjunction with 19th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016, Athens, Greece, 17-17 October. DOI:

Estimating lung respiratory motion using combined global and local statistical models
Xue, Z, Pino, R & Teh, B 2016, . in Patch-Based Techniques in Medical Imaging - 2nd International Workshop, Patch-MI 2016 held in conjunction with MICCAI 2016, Proceedings. vol. 9993 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9993 LNCS, Springer Verlag, pp. 133-140, 2nd International Workshop on Patch-Based Techniques in Medical Imaging, Patch-MI 2016 held in conjunction with 19th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2016, Athens, Greece, 17-17 October. DOI:

Quantitative analysis of 3D T1-weighted gadolinium (Gd) DCE-MRI with different repetition times
Rockers, ED, Pascual, MB, Bajaj, S, Masdeu, JC & Xue, Z 2016, . in Medical Imaging and Augmented Reality - 7th International Conference, MIAR 2016, Proceedings. vol. 9805, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9805, Springer Verlag, pp. 259-268, 7th International Conference on Medical Imaging and Augmented Reality, MIAR 2016, Bern, Switzerland, 24-26 August. DOI:

Reconstruction of four-dimensional computed tomography lung images by applying spatial and temporal anatomical constraints using a Bayesian model
He, T, Xue, Z, Teh, BS & Wong, ST 2015, Journal of Medical Imaging, vol 2, no. 2, 024004. DOI:

Integrating Structural MRI and DTI in Brain Deformation Simulation for Image-Guided Neurosurgery
Zhang, S, Xue, Z & Wong, ST 2015, Recent Patents and Topics on Imaging, vol 5, no. 2, pp. 61-67. DOI:

Multimodality Image-Guided Lung Intervention Systems
Lu, K, He, T, Xu, S, Alvarado, MV & Xue, Z 2014, . in Cancer Theranostics. Elsevier, pp. 161-186. DOI:

Network-based analysis reveals stronger local diffusion-based connectivity and different correlations with oral language skills in brains of children with high functioning autism spectrum disorders
Li, H, Xue, Z, Ellmore, TM, Frye, RE & Wong, STC 2014, Human Brain Mapping, vol 35, no. 2, pp. 396-413. DOI:

Image computing based on bayesian models (BM)
Xue, Z & Wong, S 2014, Lecture Notes in Computational Vision and Biomechanics, vol 14, pp. 123-149. DOI:

Estimating dynamic lung images from high-dimension chest surface motion using 4D statistical model
He, T, Xue, Z, Yu, N, Nitsch, PL, Teh, BS & Wong, ST 2014, . in Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention. vol. 17, pp. 138-145.

Spatial-temporal image-constrained lung 4D-CT reconstruction for radiotherapy planning
He, T, Xue, Z, Yu, N, Teh, BS & Wong, ST 2014, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol 8680, pp. 126-133. DOI:

Medical image computing for oncology: Review and clinical examples
Xue, Z & Wong, STC 2014, . in Functional Imaging in Oncology: Biophysical Basis and Technical Approaches - Volume 1. Springer Berlin Heidelberg, pp. 97-124. DOI:

Estimating dynamic lung images from high-dimension chest surface motion using 4D statistical model
He, T, Xue, Z, Yu, N, Nitsch, PL, Teh, BS & Wong, ST 2014, . in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 2 edn, vol. 8674 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 8674 LNCS, Springer Verlag, pp. 138-145, 17th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014, Boston, MA, United States, 14-18 September. DOI:

Segmentation of glioblastoma multiforme from multimodal MR images based on superpixel
Su, P, Yang, J & Xue, Z 2014, Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University, vol 32, no. 3, pp. 417-422.

Fractional anisotropy asymmetry and the side of seizure origin for partial onset-temporal lobe epilepsy
Li, H, Xue, Z, Dulay, MF, Verma, A, Karmonik, C, Grossman, RG & Wong, ST 2014, Computerized Medical Imaging and Graphics, vol 38, no. 6, pp. 481-489. DOI:

Simultaneous Tensor and Fiber Registration (STFR) for diffusion tensor images of the brain
Xue, Z & Wong, STC 2013, . in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 8090 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8090 LNCS, pp. 1-8, 6th International Workshop on Augmented Reality Environments for Medical Imaging and Computer-Assisted Interventions, MIAR 2013 and 8th International Workshop, AE-CAI 2013, Held in Conjunction with MICCAI 2013, Nagoya, Japan, 22-22 September. DOI:

Estimation of lung respiratory motion based on 4D CT
Su, P, Xue, Z & Yang, J 2013, Shuju Caiji Yu Chuli/Journal of Data Acquisition and Processing, vol 28, no. 5, pp. 608-613.