xREZ Lab’s 3D Segmentation research team won best paper for their publication, “Guided Structure-Aligned Segmentation of Volumetric Data” at the International Symposium on Visual Computing (ISVC) 2015 conference, held Dec. 14-16, 2015 in Las Vegas, NV.
The paper, authored by Michelle Holloway of Washington University in St. Louis, Anahita Sanandaji of Oregon State University, Deniece Yates of Oregon State University, Amali Krigger of Oregon State University, Ross Sowell of Cornell College, Ruth West of the University of North Texas, and Cindy Grimm of Oregon State University, addresses a serious bottleneck in the data-to-knowledge pipeline for experts who must segment, or delineate the anatomical structure of, biomedical images. The work points to software design solutions that make segmenting 3D image data easier yet more accurate while evaluating assumptions about how experts handle this delicate task.
Holloway, M., Sanandaji, A., Yates, D., Krigger, A., Sowell, R., West, R. and Grimm, C. Guided Structure-Aligned Segmentation of Volumetric Data. In Advances in Visual Computing, pp. 307-317. Springer International Publishing (2015).
ISVC is a “forum for researchers, scientists, engineers and practitioners throughout the world to present their latest research findings, ideas, developments and applications in visual computing”, inviting papers that “contribute to the state of the art and state of the practice” in computer vision, computer graphics, virtual reality, and visualization, with “particular interest in papers that combine technologies from two or more areas.”
The symposium’s proceedings, including the segmentation team’s paper, will be published by Springer-Verlag in the Lecture Notes in Computer Science (LICS) series, and selected papers at ISVC will be considered for publication in a special issue of the International Journal on Artificial Intelligence Tools (IJAIT). The Segmentation team’s best paper fetched a $500 reward.
News@xREZ Jan. 20, 2016