Collaborative Learning of Multimodality Medical Imaging Data

Selected publications

Zeng, S., Wang, X., Cui, H., Zheng, C., Feng, D. (2017). A Unified Collaborative Multi-kernel Fuzzy Clustering for Multiview Data [Forthcoming]. IEEE Transactions on Fuzzy Systems. [More Information]

Wang, X., Cui, H., Zheng, C., Zeng, S., Tang, W., Gong, P., Feng, D. (2018). Collaborative Learning based feature adaption model with applications on MRI prostate boundary delineation. ISBI [Forthcoming]

Wang, X., Tang, W., Cui, H., Zeng, S., Feng, D., Fulham, M. (2017). Multi-view collaborative segmentation for prostate MRI images. 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS). [More Information]

Content-oriented deformable image registration

Selected publications

Zheng, C., Wang, X., Zeng, S., Zhou, J., Yin, Y., Feng, D., Fulham, M. (2018). Topology-guided deformable registration with local importance preservation for biomedical images. Physics in Medicine and Biology, 63(1), 1-15. [More Information]

Zhang, J., Wang, J., Wang, X., Feng, D. (2015). Multimodal image registration with joint structure tensor and local entropy. International Journal of Computer Assisted Radiology and Surgery, 10(11), 1765-1775. [More Information] (Awards winning paper)

Zhang, J., Wang, J., Wang, X., Gao, X., Feng, D. (2015). Physical constraint finite element model for medical image registration. PloS One, 10(10), 1-21. [More Information]

Zhang, J., Wang, J., Wang, X., Feng, D. (2014). The adaptive FEM elastic model for medical image registration. Physics in Medicine and Biology, 59(1), 97-118. [More Information]

Graph Models in Content-customized Segmentation

Selected publications

Cui, H., Wang, X., Zhou, J., Eberl, S., Feng, D., Fulham, M. (2015). Improved segmentation accuracy for thoracic PET-CT in patients with NSCLC using a multi-graph model (MGM). Journal of Nuclear Medicine, 56 no supplement 3, 2527-2527. (International best abstract for Australia)

Cui, H., Wang, X., Zhou, J., Eberl, S., Yin, Y., Feng, D., Fulham, M. (2015). Topology polymorphism graph for lung tumor segmentation in PET-CT images. Physics in Medicine and Biology, 60(12), 4893-4914. [More Information]

Li, A., Li, C., Wang, X., Eberl, S., Feng, D., Fulham, M. (2016). A combinatorial Bayesian and Dirichlet model for prostate MR image segmentation using probabilistic image features. Physics in Medicine and Biology, 61(16), 6085-6104. [More Information]

Multi-stage deep neural networks for object recognition and segmentation

Selected publications

Xu, Y., Yan, K., Kim, J., Wang, X., Li, C., Su, L., Yu, S., Xu, X., Feng, D. (2017). Dual-stage deep learning framework for pigment epithelium detachment segmentation in polypoidal choroidal vasculopathy. Biomedical Optics Express, 8(9), 4061-4076. [More Information]

Yan, K., Li, C., Wang, X., Li, A., Yuan, Y., Kim, J., Feng, D. (2016). Adaptive background search and foreground estimation for saliency detection via comprehensive autoencoder. 23rd IEEE International Conference on Image Processing (ICIP 2016). [More Information]

Yan, K., Li, C., Wang, X., Li, A., Yuan, Y., Feng, D., Khadra, M., Kim, J. (2016). Automatic prostate segmentation on MR images with deep network and graph model. 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2016). [More Information]

Yan, K., Li, C., Wang, X., Yuan, Y., Li, A., Kim, J., Li, B., Feng, D. (2016). Comprehensive autoencoder for prostate recognition on MR images. 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI): From Nano to Macro. [More Information] 

Current Projects

 

  • Fusion and Analytics of Omics Data
  • Detection and Treatment Outcome Prediction of Malignant Tumors and Cancers