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.
- “Image Mosaicking Using SURF Features of Line Segments,” PLOS ONE, 2017. [Zhanlong Yang, Dinggang Shen, Pew-Thian Yap]
- "A Hierarchical Feature and Sample Selection Framework and Its Application for Alzheimer’s Disease Diagnosis”, Scientific Reports, 2017. [Le An, Ehsan Adeli, Mingxia Liu, Jun Zhang, Seong-Whan Lee, Dinggang Shen]
- "Can we predict subject-specific dynamic cortical thickness maps during infancy from birth?”, Human Brain Mapping, 2017. [Yu Meng, Gang Li, Islem Rekik, Han Zhang, Yaozong Gao, Weili Lin, Dinggang Shen]
- "Deep Ensemble Learning of Sparse Regression Models for Brain Disease Diagnosis”, Medical Image Analysis, 2017. [Heung-Il Suk, Seong-Whan Lee, Dinggang Shen]
- "Associations between Tumor Vascularity, Vascular Endothelial Growth Factor Expression and PET/MRI Radiomic Signatures in Primary Clear-Cell–Renal-Cell-Carcinoma: Proof-of-Concept Study”, Scientific Reports, 2017. [Qingbo YIN, Sheng-Che Hung, Li Wang, Weili Lin, Julia R. Fielding, W. Kimryn Rathmell, Amir H. Khandani, Michael E. Woods, Matthew I. Milowsky, Samira A. Brooks, Eric. M. Wallen, Dinggang Shen]