1.      J. Liu, B. C. Vemuri, F. Bova, Multimodal Image Registration Using Local Frequency, The Fifth Workshop on the Application of Computer Vision (WACV2000), Palm Springs, CA. December 2000. pp. 120-125.

2.      J. Liu, B. C. Vemuri, J.L. Marroquin, Robust Multi-modal Image Registration using Local Frequency  Representation, 17th International Conference of Information Processing in Medical Imaging, (IPMI 2001), Davis, CA, USA, June 2001. pp. 176-182. Best Poster Award.

3.      J. Liu, Regularized Quadrature Filters for Local Frequency Estimation: Application to Multimodal Volume Image Registration, Vision, Modeling and Visualization (VMV’00), Saarbrucken, Germany, Nov. 2000.

4.      J. Liu, B. C. Vemuri, Fast Non-rigid Multi-modal Image Registration using Local Frequency Maps. The Fourth International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2001), Utrecht, The Netherlands, October 2001. pp. 1363-1365.

5.      J. Liu, B. C., Vemuri, Efficient Multimodal Image Registration using Local Frequency Maps, Machine Vision and Application, vol 13, no. 3, pp. 149-163, 2002.

6.      J. Liu, B. C. Vemuri, J. L. Marroquin, Local Frequency Representation for Robust Multi-modal Image Registration, IEEE Trans. on Medical Imaging. vol 21, no. 5, pp. 462 –469, May 2002.

7.      L. Yang, L. R. Welch, J. Liu and C. D. Cavanaugh,  A Robust QoS Forecasting Technique For Dynamic Distributed Real-Time Testbed. IEEE CAMP 2003 International Workshop on Computer Architectures for Machine Perception, May 12-14, New Orleans, 2003.

8.      J. Liu, J. Liu, Artifacts Reduction in Mutual Information-based Image Registration, Vision Interface (VI’03), Halifax, CA, June 11-13, 2003.

9.      J. Liu, J. Liu Artifacts Reduction in Mutual Information-based Image Registration Using Prior Information. International Conference on Image Processing (ICIP’03), Barcelona, Spain, September, 14-17, 2003.

10.  M. Wei, J. Liu, J. Liu, Artifact Reduction in Mutual Information-based CT-MR Image Registration, SPIE Medical Imaging, pp.1176-1186, San Diego, USA, Feb 2004.

11.  J. Liu, Segmentation Guided Registration for Robust Brain Atlas Construction, Human Brain Mapping, Toronto, Ontario, June 12-16, 2005

12.  J. Liu, Vector-valued Local Frequency Representation for Robust Multimodal Image Registration, accepted to 27th Annual International Conference of EMBS (EMBS'05), Shanghai, 2005.

13.  J. Liu, Y. Wang, Segmentation Guided Robust Multimodal Image Registration using Local Correlation, accepted to 27th Annual International Conference of EMBS (EMBS'05), Shanghai, 2005.

14.  C. Li, J. Liu, M. D. Fox, Segmentation of Edge Preserving Gradient Vector Flow, IEEE Conference on Computer Vision and Pattern Recognition (CVPR’05), San Diego, June 2005.

15.  L. Cao, J. Liu, P. B. Harrington, SIMPLISMA and ALS Applied to Two-dimensional Nonlinear Wavelet Compressed Ion Mobility Spectra of Chemical Warfare Agent Simulants, Analytic Chemistry, 77:8 (2005) pp. 2575-2586.

16.  C. Li, J. Liu, M. D. Fox, Segmentation of external force field: An approach toward automatic initialization and splitting of snakes, Pattern Recognition, Vol. 38 (11), pp. 1947-1960, Nov. 2005.

17.  J. Liu, Y. Wang, J. Liu, Segmentation Assisted Registration for Medical Images, Asian Conference on Computer Vision (ACCV’06), Hyderabad, India, January 13-16, 2006.

18.  J. Liu, A Hybrid Multi-phase Level Set Method for Image Segmentation, Computer Vision Application Workshop in 9th European Conference on Computer Vision (ECCV’06), Graz, Austria, May 7 - 13, 2006.

19.  J. Liu, Robust Image Segmentation using Local Median, Third Canadian Conference on Computer and Robot Vision (CRV’06), Québec city, June 7 – 9, 2006. 

20.  Jundong Liu, Deformable Model-based Image Registration, in Deformable Models: Biomedical and Clinical Applications, Suri/Farag eds. Vol. 1, Chapter 15, pp. 517-542, Springer, Jan. 2007.

21.  J. Liu, M. Wei, J. Liu, Interpolation Artifacts Redcution for Mutual-Information Based Image Registration, accepted to Journal of Pattern Analysis and Applications, under revision.

22.  H. Chebrolu, J. Liu, D. R. Wkstein, F. A. Schmitt, et. al, MRI based predictive model for detecting Alzheimer’s and mild cognitive impairment before the onset of symptoms,  Bluegrass Neuroscience Day in Lexington, March 12, 2007.

23.  J. Liu, D. Chelberg, C. Smith and H. Chebrolu, “Distribution-based Level Set Segmentation for Medical Images”, 18th British Machine Vision Conference (BMVC’07), Warwick, UK, Sept 10-13, 2007

24.  J. Liu, C. Smith and H. Chebrolu, “Automatic Subcortical Structure Segmentation using Local Likelihood-based Active Contour”, the Workshop on 3D Segmentation in the Clinic (in conjunction of MICCAI’07), Brisbane, Australia, Oct. 29, 2007.

25.  J. Liu, C. Smith and H. Chebrolu, “Brain MRI Segmentation using a Prior-driven Active Contour Model”, 8th Asian Conference on Computer Vision (ACCV’07), Tokyo, Japan, Nov. 18-22, 2007.

26.  J. Liu, C. Smith and H. Chebrolu, “Combining Shape and Distribution Priors for Caudate Segmentation", 3rd International Symposium on Visual Computing (ISVC’07), Nov. 26-28, Nevada.

27.  S. Xie and J. Liu, C. Smith and H. Chebrolu, “A Robust Image Segmentation Model based on Integrated Square Estimation”, 3rd International Symposium on Visual Computing (ISCV’07), Nov. 26-28, Nevada.

28.  C. Smith, H. Chebrolu, and J. Liu, Improved detection of presymptomatic Alzheimer's disease using LGAC segmentation, Neurological Research, accepted on January 16, 2008. 

29.  J. Liu, Y. Wang, J. Liu, Segmentation-Assisted Image Registration for Brain Morphological Analysis, the International Journal of Computational Science, to appear in August 2008 

30.  J. Liu, D. Chelberg, C. Smith and H. Chebrolu, A likelihood-based Active Contour Model for Brain MRI Segmentation, extended version of the BMVC’07 paper, International Journal of Biomedical Imaging, under review