UNC IDEA group consists of IDEA Lab in the Department of Radiology and 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.
- "Disrupted cortical network as a vulnerability marker for obsessive-compulsive disorder", accepted for Brain Structure and Function, 2013. [Ziwen Peng, Feng Shi, Changzheng Shi, Qiong Yang, Raymond C.K. Chan, Dinggang Shen]
- "Automatic Hippocampus Segmentation of 7.0 Tesla MR Images by Combining Multiple Atlases and Auto-Context Models", accepted for Neuroimage, 2013. [Minjeong Kim, Guorong Wu, Wei Li, Li Wang, Young-Don Son, Zang-Hee Cho, Dinggang Shen]
- "Topological Graph Kernel on Multiple Thresholded Functional Connectivity Networks for MCI Classification", accepted for Human Brain Mapping, 2013. [Biao Jie, Daoqiang Zhang, Chong-Yaw Wee, Dinggang Shen]
- "4D Segmentation of Brain MR Images with Constrained Cortical Thickness Variation", accepted for PLOS ONE, 2013. [Li Wang, Feng Shi, Gang Li, Dinggang Shen]
- "Resolution Enhancement of Lung 4D-CT Data Using Multi-Scale Inter-Phase Iterative Non-Local Means", accepted for Medical Physics 2013. [Yu Zhang, Pew-Thian Yap, Guorong Wu, Qianjin Feng, Jun Lian, Wufan Chen, Dinggang Shen]