------ Image Display, Enhancement, and Analysis (IDEA) Group

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.

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New Papers:

  1. “Robust Fusion of Diffusion MRI Data for Template Construction”,Scientific Reports, 2017.  [Zhanlong Yang, Geng Chen, Dinggang Shen, Pew-Thian Yap]
  2. "Segmenting Hippocampal Subfields from 3T MRI with Multi-modality Images”, Medical Image Analysis, 2017. [Zhengwang Wu, Yaozong Gao, Feng Shi, Guangkai Ma, Valerie Jewells, Dinggang Shen]
  3. "Learning-based Deformable Registration for Infant MRI by Integrating Random Forest with Auto-Context Model”, Medical Physics, 2017. [Lifang Wei*, Xiaohuan Cao*, Zhensong Wang, Yaozong Gao, Shunbo Hu, Li Wang, Guorong Wu, Dinggang Shen] *Co-first authors.
  4. "Low-Rank Graph-Regularized Structured Sparse Regression for Identifying Genetic Biomarkers”, IEEE Transactions on Big Data, 2017. [Xiaofeng Zhu, Heung-Il Suk, Heng Huang, Dinggang Shen]
  5. "Multi-Hypergraph Learning for Incomplete Multi-Modality Data”, IEEE Journal of Biomedical and Health Informatics, 2017.  [Mingxia Liu, Yue Gao, Pew-Thian Yap, Dinggang Shen]