UNC IDEA Group

—— 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. “Angular Upsampling in Infant Diffusion MRI Using Neighborhood Matching in x-q Space”, Frontiers in Neuroinformatics, 2018. [Geng Chen, Bin Dong, Yong Zhang, Weili Lin, Dinggang Shen, Pew-Thian Yap]
  2. “Overall Survival Time Prediction for High-grade Glioma Patients based on Large-scale Brain Functional Networks”, Brain Imaging and Behavior, 2018. [Luyan Liu #, Han Zhang #, Jinsong Wu, Zhengda Yu, Xiaobo Chen, Islem Rekik, Qian Wang *, Junfeng Lu *, Dinggang Shen *]  # Co-first authors; *Co-corresponding authors
  3. “Pelvic Organ Segmentation Using Distinctive Curve Guided Fully Convolutional Networks”, IEEE Transactions on Medical Imaging, 2018. [Kelei He, Xiaohuan Cao, Yinghuan Shi, Dong Nie, Yang Gao, Dinggang Shen]
  4. “A Computational Method for Longitudinal Mapping of Orientation-specific Expansion of Cortical Surface in Infants”, Medical Image Analysis, 2018. [Jing Xia, Fan Wang, Yu Meng, Zhengwang Wu, Li Wang, Weili Lin, Caiming Zhang, Dinggang Shen*, Gang Li*] *Co-corresponding authors
  5. “Spatiotemporal Analysis of Developing Brain Networks”, Frontiers in Neuroinformatics, 2018. [Ping He, Xiaohua Xu, Han Zhang, Gang Li, Jingxin Nie, Pew-Thian Yap, Dinggang Shen]