------ 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. "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]
  2. "Test-retest reliability of high-order functional connectivity in young healthy adults”, Frontiers in Neuroscience, 2017. [Han Zhang, Xiaobo Chen, Yu Zhang, Dinggang Shen]
  3. "Enhancement of Perivascular Spaces in 7T MR Image using Haar Transform of Non-local Cubes and Block-matching Filtering”, Scientific Reports, 2017. [Yingkun Hou, Sang Hyun Park, Qian Wang, Jun Zhang, Xiaopeng Zong, Weili Lin, Dinggang Shen]
  4. "Learning-Based Structurally-Guided Construction of Resting-State Functional Correlation Tensors”, Magnetic Resonance Imaging, 2017. [Lichi Zhang, Han Zhang, Xiaobo Chen, Qian Wang, Pew-Thian Yap, Dinggang Shen]
  5. "Deep Auto-context Convolutional Neural Networks for Standard-Dose PET Image Estimation from Low-Dose PET/MRI”, Neurocomputing, 2017. [Lei Xiang, Yu Qiao, Dong Nie, Le An, Weili Lin, Qian Wang, Dinggang Shen]