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.
- "LINKS: Learning-based multi-source IntegratioN frameworK for Segmentation of infant brain images”, accepted for Neuroimage, 2014. [Li Wang, Yaozong Gao, Feng Shi, Gang Li, John H. Gilmore, Weili Lin, Dinggang Shen]
- "Hierarchical Multi-atlas Label Fusion with Multi-scale Feature Representation and Label-specific Patch Partition”, accepted for Neuroimage 2014. [Guorong Wu, Minjeong Kim, Gerard Sanroma, Qian Wang, Brent Munsell, Dinggang Shen]
- "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]