Research output per year
Research output per year
Research output
Search results
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2020
Quantitative Comparison of Monte-Carlo Dropout Uncertainty Measures for Multi-class Segmentation
Camarasa, R., Bos, D., Hendrikse, J., Nederkoorn, P., Kooi, E., van der Lugt, A. & de Bruijne, M., 2020, Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis - 2nd International Workshop, UNSURE 2020, and 3rd International Workshop, GRAIL 2020, Held in Conjunction with MICCAI 2020, Proceedings. Sudre, C. H., Fehri, H., Arbel, T., Baumgartner, C. F., Dalca, A., Tanno, R., Van Leemput, K., Wells, W. M., Sotiras, A., Papiez, B., Ferrante, E. & Parisot, S. (eds.). Springer Science and Business Media Deutschland GmbH, p. 32-41 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12443 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
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2017
Evaluating classifiers for atherosclerotic plaque component segmentation in MRI
van Engelen, A., De Bruijne, M., Schneider, T., van Dijk, A. C., Kooi, M. E., Hendrikse, J., Nederveen, A. J., Niessen, W. J. & Botnar, R. M., 2017, Medical Image Understanding and Analysis: 21st Annual Conference, MIUA 2017, Edinburgh, UK July 11-13, 2017 : proceedings. Hernández, M. V. & González-Castro, V. (eds.). Cham: Springer-Verlag, Vol. 723. p. 156-168 13 p. (Communications in Computer and Information Science; vol. 723).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review