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Jundong Liu

Associate Professor
Biomedical Engineering,Electrical Engineering and Computer Science,Center for Scientific Computing and Immersive Technologies
STKR 321A
liuj1@ohio.edu
Phone: 740.593.1603

Jundong Liu is an associate professor in the School of Electrical Engineering and Computer Science at Ohio University, and the director of the Medical Image Analysis (MedIA) Lab at Ohio University. He researches medical image analysis, machine learning, computer vision, human motion detection and classification, and shape modeling.

MedIA lab: http://media.cs.ohio.edu/member.html


Research Interests: Electrical Engineering & Computer Science, Medical Image Analysis, Computer Vision, Computer Graphics, Shape Modeling, Computational Geometry, Chemical and Biomolecular Engineering, Biomedical image analysis

All Degrees Earned: M.S., Computer Science, Peking University. Ph.D., Computer Information Science and Engineering, University of Florida.

Journal Article, Academic Journal (9)

Book, Chapter in Scholarly Book (5)

  • Liu, J. Segmentation-Assisted Registration for Brain MR Images. Springer Science.
  • Liu, J. A Unified Framework for Segmentation-assisted Image Registration. 14. Recent Advances in Computational Sciences, Jorgensen/ Shen/Shu/Yan eds. / World Scientific; 1: 243-254.
  • Liu, J., Wang, Y. A Unified Framework for Segmentation-assisted Image Registration,. World Scientific; 243-254.
  • Liu, J. Jundong Liu, Deformable Model-based Image Registration. Springer; 1: 517-542.
  • Liu, J. 15. Deformable Models: Biomedical and Clinical Applications, Suri/Farag, eds.,; 1: 517-542.

Conference Proceeding (20)

  • Shi, B., Wang, Z., Liu, J. Distance-informed metric learning for Alzheimer’s Disease Staging. 2014 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
  • Hobbs, K., Zhang, P., Liu, J. Inherent Radial Distances for Robust Hippocampal Atrophy Estimation in Alzheimer’s Disease. 2014 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
  • Shi, B., Liu, J., Berryman, D., List, E., Kelder, B., Kopchick, J. Development of a whole-body-mouse statistical shape atlas for obesity research. 2013 BMES Annual Meeting.
  • Xu, H., Zhang, P., Liu, J. Towards the Identification of Shape Biomarker(s) for Alzheimer's Disease (AD) based on a Spectral Shape Analysis Framework. 2013 BMES Annual Meeting; http://bmes.org/meetings.
  • Shi, B., Liu, J., Xie, S., Berryman, D., List, E. Robust Separation of Visceral and Subcutaneous Adipose Tissues in Micro-CT of Mice. The 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society ; http://embc2013.embs.org/.
  • Xu, H., Liu, J. SPATIAL-AWARENESS SPECTRAL EMBEDDING (SASE) FOR ROBUST SHAPE MATCHING. The 38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP) ; http://www.icassp2013.com/Papers/ViewPapers.asp?PaperNum=4344.
  • xie, s., Liu, J., Smith, C. Riemannian Shape Analysis Based on Meridian Curves. 1. IEEE 11th International Conference on Machine Learning and Applications, ICMLA; 1: 532-537.
  • xie, s., Liu, J., Smith, C. CURVE SKELETON-BASED SHAPE REPRESENTATION AND CLASSIFICATION. international conference on image processing 2012; http://icip2012.com/Papers/PublicSessionIndex3.asp?Sessionid=1204.
  • Xu, H., Liu, J., Smith, C. ROBUST AND EFFICIENT POINT REGISTRATION BASED ON CLUSTERS AND GENERALIZED RADIAL BASIS FUNCTIONS (C-GRBF). international conference on image processing 2012; http://icip2012.com/Papers/viewpapers.asp?papernum=2950.
  • Zhang, W., Liu, J., Liu, Z. Adaptive re-transmission scheme for wireless mobile networking and computing. 2012 International Conference on Systems and Informatics (ICSAI); 56 - 62 . http://ieeexplore.ieee.org/xpl/articleDetails.jsp?reload=true&arnumber=6223067.
  • xie, s., Liu, J., Smith, C. A NEW SHAPE ANALYSIS FRAMEWORK BASED ON CURVE SKELETONS. 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP); 701-704. http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6268628.
  • Shi, B., Liu, J. Regularity-guaranteed transformation estimation in medical image registration. Proc. SPIE 8314, Medical Imaging 2012: Image Processing, 83141W; 8314: http://proceedings.spiedigitallibrary.org/mobile/proceeding.aspx?articleid=1345935.
  • Liu, J. Non-Twist Regularization for Deformation Estimation. London: Medical Image Analysis and Understanding 2011; 151-156. http://www.biomedical-image-analysis.co.uk/.
  • Liu, J. 3 Artifacts in Mutual Information‑based Image Registration: Analysis and Remedy. Great Lakes Bioinformatics Conference; http://www.ohiobioinformaticsconsortium.org/occbio/GL201l.
  • Liu, J., Shi, B. 4 Regularity Guaranteed Deformation Estimation in Image Registration. Great Lakes Bioinformatics Conference 2011; http://www.ohiobioinformaticsconsortium.org/occbio/GL2011/.
  • Liu, J., Smith, C. Automatic Multiple Sclerosis detection Based on integrated Square Estimation. Great Lakes Bioinformatics Conference 2011; http://www.ohiobioinformaticsconsortium.org/occbio/GL2011/.
  • Nykl, S., Mourning, C., xu, H., Chelberg, D., Liu, J. Lecture Notes in Computer Science 6455, Advances in Visual Computing, Chapter Title: GPU Acceleration of Robust Point Matching. Advances in Visual Computing. Berlin Heidelberg: Springer-Verlag; 6455: 417-426. http://www.springerlink.com/content/c2g8n75p68njq875/.
  • Nykl, S., Mourning, C., xu, H., Chelberg, D., Liu, J. Lecture Notes in Computer Science 6455, Advances in Visual Computing, Chapter Title: GPU Acceleration of Robust Point Matching. Advances in Visual Computing. Berlin Heidelberg: Springer-Verlag; 6455: 417-426. http://www.springerlink.com/content/c2g8n75p68njq875/.
  • Yang, L., Welch, L., Liu, J., Cavanaugh, C. A Robust QoS Forecasting Technique For Dynamic Distributed Real-Time Testbed. New Orleans, LA: IEEE CAMP 2003 International Workshop on Computer Architectures for Machine Perception.
  • Yang, L., Liu, J., Cavanaugh, C., Welch, L. A L2E-Based QoS Forecasting Algorithm for a Dynamic, Distributed Real-Time Systems. Las Vegas, NV: The 2003 International Conference on Parallel and Distributed Processing Techniques and Applications (PDPTA'03); 424-429.

Other (3)

  • Xie, s., Liu, J. A Novel Riemannian Shape Analysis Framework for Subcoritcal Brain Structures. 2012 Annual Meeting of Biomedical Enegineering Society.
  • Shi, B., Liu, J. Registration-based segmentation of intra-abdominal and subcutaneous adipose tissue in 3D mouse micro-CT. 2012 Annual Meeting of Biomedical Enegineering Society.
  • Xu, H., Liu, J. Robust Point Registration Using Clusters and Generalized Radial Basis Functions. 2012 Annual Meeting of Biomedical Enegineering Society.