Report summary

The 2015-2017 picture for University of North Carolina at Chapel Hill Department of Computer Science is a 24-PI network with 15 internal PI collaborations. The research center of gravity is Computer Science as the leading field (29% of slots across 12 PIs; 12 labels), Computer Vision and Pattern Recognition as the leading subfield (11% of slots across 6 PIs; 6 labels), and Advanced Neuroimaging Techniques and Applications as the leading topic (4% of slots across 3 PIs; 3 labels). This is a solid, readable collaboration map: group-level fit matters more than a single department-wide label. The top weighted PIs are Dinggang Shen (70.9 weighted works; Medical Image Segmentation Techniques, Functional Brain Connectivity Studies). The strongest pairings are Dinggang Shen and Guorong Wu (42 shared works, weight 23.1). The standout breakdown groups are group 1 with 7 PIs, 9 internal connections, weight 35.3, around Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Pediatrics, Perinatology and Child Health, led by Dinggang Shen, Guorong Wu, Martin Styner.