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.
- "Learning-based Subject-specific Estimation of Dynamic Maps of Cortical Morphology at Missing Time Points in Longitudinal Infant Studies”, Human Brain Mapping, 2016. [Yu Meng, Gang Li, Yaozong Gao, Weili Lin, Dinggang Shen]
- "Detecting Anatomical Landmarks for Fast Alzheimer’s Disease Diagnosis”, IEEE Transactions on Medical Imaging, 2016. [Jun Zhang, Yue Gao, Yaozong Gao, Brent C. Munsell, Dinggang Shen]
- "Concatenated Spatially-localized Random Forests for Hippocampus Labeling in Adult and Infant MR Brain Images”, Neurocomputing, 2016. [Lichi Zhang, Qian Wang, Yaozong Gao, Hongxin Li, Guorong Wu, Dinggang Shen]
- "Joint Feature-Sample Selection and Robust Diagnosis of Parkinson's Disease from MRI data”, NeuroImage, 2016. [Ehsan Adeli, Feng Shi, Le An, Chong-Yaw Wee, Guorong Wu, Tao Wang, Dinggang Shen]
- “Scalable Joint Segmentation and Registration Framework for Infant Brain Images”, Neurocomputing, 2016. [Pei Dong, Li Wang, Weili Lin, Dinggang Shen*, Guorong Wu*] * Co-corresponding authors