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| Title | Author | Subject | Description | Date | ||
|---|---|---|---|---|---|---|
| 1 |  | A Framework for creative visualization-oppourtunities workshops | Kerzner, Ethan | Computer science; Connectomics; Creativity; Data visualization; Design study; Workshops | Applied visualization researchers often work closely with domain collaborators to explore new, useful, and interesting visualization applications. The early stages of collaborations are typically time consuming for all stakeholders as researchers piece together an understanding of domain challenges ... | 2019 |
| 2 |  | Image segmentation with hierarchical models | Liu, Ting | Connectomics; Electron microscopy; Hierarchical models; Image segmentation; Machine learning; Semi-supervised learning | Image segmentation is the problem of partitioning an image into disjoint segments that are perceptually or semantically homogeneous. As one of the most fundamental computer vision problems, image segmentation is used as a primary step for high-level vision tasks, such as object recognition and image... | 2016 |
| 3 |  | Segmentation of neurons from electron microscopy images | Jurrus, Elizabeth | Artificial neural networks; Connectomics; Electron microscopy; Image processing; Machine learning; Segmentation | Neuroscientists are developing new imaging techniques and generating large volumes of data in an effort to understand the complex structure of the nervous system. The complexity and size of this data makes human interpretation a labor intensive task. To aid in the analysis, new segmentation techniq... | 2011-08 |
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