NOA: A Search Engine for Reusable Scientific Images Beyond the Life Sciences

Author:

Charbonnier JeanORCID,Sohmen LuciaORCID,Rothman John,Rohden Birte,Wartena ChristianORCID

Publisher

Springer International Publishing

Reference11 articles.

1. Agarwal, S., Yu, H.: FigSum: automatically generating structured text summaries for figures in biomedical literature. In: AMIA Annual Symposium Proceedings. AMIA Symposium 2009, pp. 6–10, November 2009

2. Hearst, M.A., Divoli, A., Guturu, H., Ksikes, A., Nakov, P., Wooldridge, M.A., Ye, J.: BioText search engine: beyond abstract search. Bioinformatics 23(16), 2196–2197 (2007). https://academic.oup.com/bioinformatics/article-lookup/doi/10.1093/bioinformatics/btm301

3. Kim, D., Ramesh, B.P., Yu, H.: Automatic figure classification in bioscience literature. J. Biomed. Inf. 44(5), 848–858 (2011). http://www.sciencedirect.com/science/article/pii/S1532046411000943

4. Kim, D., Yu, H.: Hierarchical image classification in the bioscience literature. In: AMIA Annual Symposium Proceedings 2009, pp. 327–331 (2009). http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2815366/

5. Lee, P., West, J.D., Howe, B.: Viziometrics: analyzing visual information in the scientific literature. IEEE Trans. Big Data (2017)

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