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ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part I
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Computer Methods and Programs in Biomedicine
Suspending, migrating and resuming HPC virtual clusters
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Computer Methods and Programs in Biomedicine
Drosophila Gene Expression Pattern Annotation through Multi-Instance Multi-Label Learning
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
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Proceedings of the 2nd ACM Conference on Bioinformatics, Computational Biology and Biomedicine
Similarity based object retrieval of composite neuronal structures
EG 3DOR'12 Proceedings of the 5th Eurographics conference on 3D Object Retrieval
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Serial fusion of random subspace ensemble for subcellular phenotype images classification
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The Visual Computer: International Journal of Computer Graphics
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In recent years, the deluge of complicated molecular and cellular microscopic images creates compelling challenges for the image computing community. There has been an increasing focus on developing novel image processing, data mining, database and visualization techniques to extract, compare, search and manage the biological knowledge in these data-intensive problems. This emerging new area of bioinformatics can be called ‘bioimage informatics’. This article reviews the advances of this field from several aspects, including applications, key techniques, available tools and resources. Application examples such as high-throughput/high-content phenotyping and atlas building for model organisms demonstrate the importance of bioimage informatics. The essential techniques to the success of these applications, such as bioimage feature identification, segmentation and tracking, registration, annotation, mining, image data management and visualization, are further summarized, along with a brief overview of the available bioimage databases, analysis tools and other resources. Contact: pengh@janelia.hhmi.org Supplementary information: Supplementary data are available at Bioinformatics online.