Luping Zhou

Research Scientist

Contact

Tel: +61 7 3253 3657

Themes

  • Biomedical Imaging

Science Area

  • Imaging and Computer Vision

Biography

Luping obtained her Ph.D in medical image analysis from School of Engineering, The Australian National University in 2010. After that, She worked as a postdoctoral research fellow in IDEA group, University of North Carolina at Chapel Hill,focusing on neuroimage analysis. Before she started her Ph.D, she was a senior software engineer in Volume Interactions (Bracco), developping medical imaging applications for surgical navigation and planning.

Academic Qualifications

2010 PhD The Australian National University

Recent Professional Experience

2010 Postdoctoral Research Fellow, University of North Carolina at Chapel Hill, U.S.A
June~August 2009 Visiting student, Chair for Computer Aided Medical Procedures & Augmented Reality (CAMP), Technical University of Munich, Germany

Top 10 Publications

Publication details
L. Zhou, R. Hartley, L. Wang, P. Lieby and N. Barnes, Identifying Anatomical Shape Difference by Regularized Discriminative Direction, IEEE Transactions on Medical Imaging 28(6): 937-950 2009.
L. Zhou, L. Wang, and C. Shen, Feature Selection with Redundancy-constrained Class Separability, IEEE Transactions on Neural Networks 21(5):853-858, 2010.
L. Zhou, Y. Wang, Y. Li, P.T. Yap, and D. Shen, Hierarchical Anatomical Brain Networks for MCI Prediction by Partial Least Square Analysis, In IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 11) Colorado Springs, USA, June 21-23, 2011.
L. Zhou, L. Wang, C. Shen, and N. Barnes, Hippocampal Shape Classification Using Redundancy Constrained Feature Selection, In International Conference on Medical Image Computing And Computer Assisted Intervention (MICCAI) 2010 266-273 2010.
L. Zhou, R. Hartley, L. Wang, P. Lieby, and N. Barnes, Regularized Discriminative Direction for Shape Difference Analysis,, In International Conference on Medical Image Computing And Computer Assisted Intervention (MICCAI) 2008: 628-635, 2008.
L. Zhou, R. Hartley, P. Lieby, N. Barnes, K. Anstey, N. Cherbuin, and P. Sachdev, A Study of Hippocampal Shape Difference Between Genders by Efficient Hypothesis Test and Discriminative Deformation,, In International Conference on Medical Image Computing And Computer Assisted Intervention (MICCAI) 2007: 375-383, 2007.
L. Zhou, S. Liao, W. Li, and D. Shen, Learning-based Prostate Localization for Image Guided Radiation Therapy, In IEEE International Symposium on Biomedical Imaging (ISBI), Chicago, USA, March 30 - April 2, 2011.
L. Zhou, P. Lieby, N. Barnes, C. Reglade-Meslin, J. Walker, N. Cherbuin, and R. Hartley, Hippocampal Shape Analysis for Alzheimer’s Disease Using an Efficient Hypothesis Test and Regularized Discriminative Deformation, Hippocampus, 19(6), June 2009, pp533-540, 2009.
L. Wang, L. Zhou, and C. Shen, A Fast Algorithm for Creating a Compact and Discriminative Visual Codebook, European Conference on Computer Vision (ECCV) 2008: 719-732 2008.
L. Zhou, Y. Wang, Y. Li, P.T. Yap, and D. Shen. Hierarchical Anatomical Brain Networks for MCI Prediction: Revisiting Volumetric Measures. PLoS One (accepted), 2011.

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