UNC IDEA Group

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.

• Core labs

• Publications

• Tools and Projects

• Free Softwares
• Job Opportunity
• News

New Papers:

1. "Altered Structural Connectivity in Neonates at Genetic Risk for Schizophrenia: A Combined Study Using Morphological and White Matter Networks", accepted for Neuroimage, 2012. [Feng Shi, Pew-Thian Yap, Wei Gao, Weili Lin, John H Gilmore, Dinggang Shen]
2. "Resting-State Multi-Spectrum Functional Connectivity Networks for Identification of MCI Patients", accepted for PLoS ONE, 2012. [Chong-Yaw Wee, Pew-Thian Yap, Kevin Denny, Jeffrey N. Browndyke, Guy G. Potter, Kathleen A. Welsh-Bohmer, Lihong Wang, Dinggang Shen]
3. "A Feature based Learning Framework for Accurate Prostate Localization in CT Images", accepted for IEEE Trans. on Image Processing, 2012. [Liao Shu, Dinggang Shen]
4. "Machine Learning in Medical Imaging", International Journal of Biomedical Imaging, vol. 2012, Article ID 123727, 2 pages, 2012. [Kenji Suzuki, Pingkun Yan, Fei Wang, and Dinggang Shen]
5. "DICCCOL: Dense Individualized and Common Connectivity-based Cortical Landmarks", accepted for Cerebral Cortex. [Dajiang Zhu, Kaiming Li, Lei Guo, Xi Jiang, TuoZhang, Degang Zhang, Hanbo Chen, Fan Deng, Carlos Faraco, Changfeng Jin, Chong-Yaw Wee, Yixuang Yuan, Peili Lv, Yan Yin, Xiaolei Hu, Lian Duan, Xintao Hu, JunweiHan, Lihong Wang, Dinggang Shen, Lloyd Miller, Lingjiang Li, Tianming Liu]
6. "Predicting Future Clinical Changes of MCI Patients Using Longitudinal and Multimodal Biomarkers", PLoS ONE 7(3): e33182, Mar. 2012. [Daoqiang Zhang, Dinggang Shen]