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Reliability of quantification estimates in MR spectroscopy: CNNs vs traditional model fitting
Rizzo, R., Dziadosz, M., Kyathanahally, S. P., Reyes, M., & Kreis, R. (2022). Reliability of quantification estimates in MR spectroscopy: CNNs vs traditional model fitting. In L. Wang, Q. Dou, P. T. Fletcher, S. Speidel, & S. Li (Eds.), Lecture notes in computer science: Vol. 13438. Medical image computing and computer assisted intervention - MICCAI 2022. 25th international conference, Singapore, September 18-22, 2022, proceedings, part VIII (pp. 715-724). https://doi.org/10.1007/978-3-031-16452-1_68
Characterising retrieval uncertainty of chlorophyll-<em>a</em> algorithms in oligotrophic and mesotrophic lakes and reservoirs
Werther, M., Odermatt, D., Simis, S. G. H., Gurlin, D., Jorge, D. S. F., Loisel, H., … Spyrakos, E. (2022). Characterising retrieval uncertainty of chlorophyll-a algorithms in oligotrophic and mesotrophic lakes and reservoirs. ISPRS Journal of Photogrammetry and Remote Sensing, 190, 279-300. https://doi.org/10.1016/j.isprsjprs.2022.06.015
Politics of the precautionary principle: assessing actors' preferences in water protection policy
Metz, F., & Ingold, K. (2017). Politics of the precautionary principle: assessing actors' preferences in water protection policy. Policy Sciences, 50(4), 721-743. https://doi.org/10.1007/s11077-017-9295-z