Personal Information

ZHUANG, Xiahai       (PhD)
复旦大数据学院,院长助理
青年研究员、博士生导师
Associate Professor
Assistant Dean
School of Data Science, Fudan University
zhuangxiahai at 163 dot com

I did my PhD (thesis) in Centre for Medical Image Computing, University College London, with Prof. S Ourselin and Prof. D J Hawkes. Before that, I did my master and bachelor degrees in computer science in Shanghai Jiao Tong University and Tianjin University, respectively. Before joining Fudan, I was an associate professor in Shanghai Jiao Tong University.

Useful Links:
Special Issue (ddl: Dec 2018) on neurodegeneration and applied neuroimaging,
for publication in Frontiers in Neurology/ Psychiatry/ Neuroscience;  
MM-WHS Challenge;   software zxhproj;  

Research interests

* Medical imaging and medical data analysis (registration and segmentation)
* Image processing and machine learning
* Cardiac imaging, modelling and image analysis
* Neuroimage and neuroscience
* Translational software development

Teaching

* DATA630015 Medical Image Analysis (postgraduate)
* DATA620009 Data Visualization (postgraduate)
* DATA130012.01 Data Visualization
* DATA130020.01 Database and Implementation


People
* Chang SUN (2018-, post doc)
* Marta Nunez (2018, visiting PhD student from UPF)
* Seyed Alireza Mohadeskasaei (2017-, post doc)
* Fuping WU (2017-)
* Long CHEN (2017-)
* Ying DUAN (2017-)
* Lingchao XU (2017-)
* Lei LI (2016-)
* Dengqiang JIA (2015-)

Selected projects (grants)

* Early diagnosis of AD using big neuroimaging data and deep network; Science and Technology Commission of Shanghai Municipality; 2017-2019; PI
* High-Performance Image Registration Algorithms for Prostate Cancer Intervention, National Natural Science Foundation of China and Royal Society U.K., 2015/04-2017/03, PI
* Evaluation of micro vessel prostate cancer with T1-DCE and T2*-DSC, Medicine-Engineering/ Science Interdisciplinary research grant, 2015/01-2017/12, Co-PI
* Extracting clinically useful information from cardiac MR images using large-scale machine learning, Newton Research Collaboration Programme 2015, Co-PI
* Fast nonrigid registration based on spatial information encoded mutual information and the clinical applications; National Natural Science Foundation of China; 2014/01-2016/12, PI
* Using medical images for assisting cardiac functional analysis and early diagnosis of heart diseases; RF ROCS, State Education Ministry of China; 2014/01-2016/12, PI

Academic services

* International conference on Medical Imaging and Augmented Reality, International Organization Committee (2016)
* International workshop on Computer-Assisted and Robotic Endoscopy, (Program Committee) 2016
* Workshop on Whole-Heart and Great Vessel Segmentation from 3D Cardiovascular MRI in Congenital Heart Disease, Program Committee (2016)
* 国家自然科学基金委(NSFC),通讯评审专家(2015-至今)
* 7th Annual International Congress of Cardiology, Chair of Computer Assisted Diagnosis in Cardiology (2015)
* International workshop Functional Imaging and Modeling of the Heart, Program Committee, 2011-now
* Review for: IEEE Transaction on Medical Imaging; Medical Image Analysis (Elsevier); Pattern Recognition; Journal of the Royal Society Interface; Computer Vision and Image Understanding (Elsevier); Computer Methods and Programs in Biomedicine (Elsevier); Computerized Medical Imaging and Graphics (Elsevier); Image And Vision Computing (Elsevier); IEEE-Journal Of Biomedical And Health Informatics; Journal Computing and Informatics; International Journal for Computer Assisted Radiology and Surgery; International Conference on Medical Image Computing and Computer Assisted Intervention (2012-now);International Conference on Functional Imaging and Modeling of the Heart (2011-now); International Workshop on Medical Imaging and Augmented Reality (2010,2016)

Selected Publications

 

More in google scholar
  • J Liu, X Zhuang* et al: Myocardium Segmentation from DE MRI using Multi-component Gaussian Mixture Model and Coupled Level Set. IEEE Trans Biomed Eng 2017 link
  • X Zhuang & J Shen: Multi-scale patch and multi-modality atlases for whole heart segmentation of MRI. Medical Image Analysis 31, 77–87, 2016 link
  • X Zhuang: Multivariate Mixture Model for Cardiac Segmentation from Multi-Sequence MRI. MICCAI 2016, 581-588 link
  • X Zhuang, et al.: Multiatlas whole heart segmentation of CT data using conditional entropy for atlas ranking and selection. Medical Physics 42(7), 3822-3833, 2015 link
  • X Qian, Y Lin, Y Zhao, J Wang, J Liu, X Zhuang*: Segmentation of myocardium from cardiac MR images using a novel dynamic programming based segmentation method. Medical Physics 42(3), 1424-1435, 2015 link
  • X Zhuang: Challenges and Methodologies of Fully Automatic Whole Heart Segmentation: A Review. Journal of Healthcare Engineering 4 (3): 371–407, 2013 pdf
  • W Shi, M Jantsch, P Aljabar, L Pizarro, W Bai, H Wang, D O’Regan, X Zhuang* and D Rueckert*: Temporal sparse free-form deformations. Medical Image Analysis 17 (7): 779–789, 2013 link
  • L. Liu, W. Shi, D. Rueckert, M. Hu, S. Ourselin, X. Zhuang*: Model-Guided Directional Minimal Path for Fully Automatic Extraction of Coronary Centerlines from Cardiac CTA. Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2013
  • J Xi, P Lamata, S Niederer, S Land, W Shi, X Zhuang, et al.: The estimation of patient-specific cardiac diastolic functions from clinical measurements Medical image analysis 17 (2), 133–146 2013
  • C Tobon-Gomez, et al.: Benchmarking framework for myocardial tracking and deformation algorithms: An open access database. Medical image analysis 17 (6), 632–648 2013
  • Shi, W., Zhuang, X., Luong, D., Wang, H., Tung, K., Duckett, S., Edwards, P., Razavi, R., Ourselin, S., Rueckert, D.: A Comprehensive Cardiac Function Analysis Framework Using Both Untagged And 3D Tagged MR Images. IEEE Transactions on Medical Imaging, 31(6), 1263 – 1275, 2012.   link
  • W Shi, X Zhuang, L Pizarro, W Bai, H Wang, KP Tung, P Edwards, D Rueckert: Registration using sparse free-form deformations. Medical Image Computing and Computer-Assisted Intervention–MICCAI 2012, 659-666, 1, 2012 (MICCAI Young Scientist Award Honorable Mention)
  • Zhuang, X., Arridge, S., Hawkes, D. J., Ourselin, S.: A Nonrigid Registration Framework Using Spatially Encoded Mutual Information and Free-Form Deformations. IEEE Transactions on Medical Imaging, 30(10), 1819-1828, 2011.   link pdf
  • Zhuang, X., Rhode, K., Razavi, R., Hawkes, D. J., Ourselin, S.: A Registration-Based Propagation Framework for Automatic Whole Heart Segmentation of Cardiac MRI. IEEE Transactions on Medical Imaging, 29 (9), 1612-1625, 2010.   link pdf
  • Zhuang, X., Leung, K., Rhode, K., Razavi, R., Hawkes, D. J., Ourselin, S. (2010): Whole Heart Segmentation of Cardiac MRI Using Multiple Path Propagation Strategy. Medical Image Computing and Computer Assisted Intervention (MICCAI'10), LNCS 6361, 435-443, 2010. DOI: 10.1007/978-3-642-15705-9_53   link
  • Zhuang, X., Hawkes, D. J., Ourselin, S. (2009). Unifying encoding of spatial information in mutual information for nonrigid registration. In: J.L. Prince, D.L. Pham, and K.J. Myers (Eds.), 21st biennial International Conference on Information Processing in Medical Imaging (IPMI '09), Lecture Notes in Computer Science (LNCS) 5636, 491-502, 2009.   link
  • Zhuang, X., Rhode, K., Arridge, S., Razavi, R., Hill, D., Hawkes, D. J., Ourselin, S. (2008). An atlas-based segmentation propagation framework using locally affine registration – Application to automatic whole heart segmentation. Oral presentation at Medical Image Computing and Computer Assisted Intervention (MICCAI '08), Lecture Notes in Computer Science (LNCS) 5242, 425-433, 2008.   link (runner-up for MICCAI Young Scientist Award)


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