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.
- "Feature Fusion via Hierarchical Supervised Local CCA for Diagnosis of Autism Spectrum Disorder”, Brain Imaging and Behavior, 2016. [Feng Zhao, Lishan Qiao, Pew-Thian Yap, Dinggang Shen]
- "Learning-based 3T Brain MRI Segmentation with Guidance from 7T MRI Labeling”, Medical Physics, 2016. [Minghui Deng, Renping Yu, Li Wang, Feng Shi, Pew-Thian Yap, Dinggang Shen]
- "Estimating Functional Brain Networks by Incorporating a Modularity Prior”, Neuroimage, 2016. [Lishan Qiao, Han Zhang, Minjeong Kim, Shenghua Teng, Limei Zhang, Dinggang Shen]
- "Longitudinal Clinical Score Prediction in Alzheimer's Disease with Soft-Split Sparse Regression Based Random Forest”, Neurobiology of Aging, 2016. [Lei Huang*, Yan Jin*, Yaozong Gao, Kim-Han Thung, Dinggang Shen] *Co-first authors
- "Embarrassingly Parallel Acceleration of Global Tractography via Dynamic Domain Partitioning”, Frontiers in Neuroinformatics, 2016. [Haiyong Wu, Geng Chen, Yan Jin, Dinggang Shen*, Pew-Thian Yap*] *Co-corresponding authors