About Dr Luping Zhou

Dr Luping Zhou has broad research interest in medical image analysis, machine learning and computer vision.

Dr Luping Zhou has conducted research for the early diagnosis of multiple mental disorders (including Alzheimer's disease, attention-deficit/hyperactivity disorder and schizophrenia), image-guided radiation therapy for prostate cancer, automatic cell image classification (for the diagnosis of some autoimmune diseases), and brain tumor segmentation (for brain cancer staging).

Dr Luping Zhou has been working in the field of medical image analysis for more than 12 years, in both industry and academia. I am a recipient of ARC DECRA (Discovery Early Career Researcher Award) award in 2015.

Selected publications

  1. B. Yu, L. Zhou, L. Wang, J. Fripp, and P. Bourgeat, "3D cGAN based Cross-modality MR Image Synthesis for Brain Tumor Segmentation", IEEE International Symposium on Biomedical Imaging (ISBI), Washington DC, USA, 2018
  2. Y. Wang, B. Yu, L. Wang, C. Zu, X. Wu, J. Zhou, D.S. Lalush, W. Lin, D. Shen*, and L. Zhou*, "3D Conditional Generative Adversarial Networks for High-quality PET Image Estimation at Low Dose", Neuroimage, 2018
  3. L. Zhou, L. Wang, J. Zhang, Y. Shi and Y. Gao, "Revisiting Distance Metric Learning for SPD Matrix based Visual Representation", IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Hawaii, USA, 2017
  4. L. Zhou, L. Wang, L. Liu, P. Ogunbona, and D. Shen, "Learning Discriminative Bayesian Networks from High-dimensional Continuous Neuroimaging Data", IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE T-PAMI), 2016
  5. L. Zhou, L. Wang, and P. Ogunbona, "Discriminative Sparse Inverse Covariance Matrix: Application in Brain Functional Network Classification", IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Ohio, USA, 2014
  6. J. Zhang, L. Zhou, L. Wang, and W. Li, "Functional Brain Network Classification with Compact Representation of SICE Matrices", IEEE Transactions on Biomedical Engineering (T-BME), 2015
  7. L. Wang, J. Zhang, L. Zhou, C. Tang, and W. Li, "Beyond Covariance: Feature Representation with Nonlinear Kernel Matrices", International Conference on Computer Vision (ICCV), Santiago, Chile, 2015
  8. X. Liu, L. Zhou, L. Wang, J. Zhang, J. Yin, and D. Shen, "An Efficient Radius-incorporated MKL Algorithm for Alzheimer's Disease Prediction", Pattern Recognition (PR), 2014
  9. L. Zhou, L. Wang, and C. Shen, "Feature Selection with Redundancy Constrained Class Separability", IEEE Transactions on Neural Networks, 2010 (IEEE TNN)
  10. 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), June 2009, pp937-950