UNC IDEA group consists of the IDEA Lab in the Department of Radiology and the Image Analysis Core Lab in the Biomedical Research Imaging Center (BRIC). The IDEA lab is devoted to the development of novel image analysis methods and tools, and their applications to various clinical research and trials. The developed methods include deformable registration (HAMMER), deformable segmentation (AFDM), and multivariate pattern classification algorithms. These methods have been applied to various studies on brain diseases and development (including MCI, AD, Schizophrenia, and Neonate Development Study), heart, breast cancer, and prostate cancer. The image analysis core in BRIC supports the image storage and analysis needs of scientists in UNC. It also provides services for brain structural and functional analysis, small animal imaging analysis, visualization, and others.
- "Predict Brain MR Image Registration via Sparse Learning of Appearance and Transformation”, accepted for Medical Image Analysis, 2014. [Qian Wang, Minjeong Kim, Yonghong Shi, Guorong Wu, Dinggang Shen]
- "Cortical Thickness and Surface Area in Neonates at High Risk for Schizophrenia”, accepted for Brain Structure and Function, 2014. [Gang Li, Li Wang, Feng Shi, Amanda E. Lyall, Mihye Ahn, Ziwen Peng, Hongtu Zhu, Weili Lin, John H. Gilmore, Dinggang Shen]
- "Improved Image Registration by Sparse Patch-Based Deformation Estimation”, accepted for NeuroImage, 2014. [Minjeong Kim, Guorong Wu, Qian Wang, Seong-Whan Lee, Dinggang Shen]
- "Interactive Prostate Segmentation with Adaptive Feature Selection and Manifold Regularization”, accepted for Medical Physics, 2014. [Sang Hyun Park, Yaozong Gao, Yinghuan Shi, Dinggang Shen]
- "Manifold Regularized Multi-task Feature Learning for Multi-modality Disease Classification”, accepted for Human Brain Mapping, 2014. [Biao Jie, Daoqiang Zhang, Bo Cheng, Dinggang Shen]