Accurate Simulation of Operating System Updates in Neuroimaging Using Monte-Carlo Arithmetic-Reference-Cited by-同舟云学术

Accurate Simulation of Operating System Updates in Neuroimaging Using Monte-Carlo Arithmetic

Published:2021 Issue: Volume: Page:14-23
ISSN:0302-9743
Container-title:Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis
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Author:

Salari Ali,Chatelain Yohan,Kiar Gregory,Glatard Tristan

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-87735-4_2

Reference19 articles.

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2. Botvinik-Nezer, R., et al.: Variability in the analysis of a single neuroimaging dataset by many teams. Nature 582(7810), 84–88 (2020)

3. Bowring, A., Maumet, C., Nichols, T.E.: Exploring the impact of analysis software on task fMRI results. Hum. Brain Mapp. 40, 1–23 (2019)

4. Chatelain, Y., de Oliveira Castro, P., Petit, E., Defour, D., Bieder, J., Torrent, M.: VeriTracer: context-enriched tracer for floating-point arithmetic analysis. In: 2018 IEEE 25th Symposium on Computer Arithmetic (ARITH), pp. 61–68. IEEE (2018)

5. Denis, C., de Oliveira Castro, P., Petit, E.: Verificarlo: checking floating point accuracy through Monte Carlo arithmetic. In: 2016 IEEE 23nd Symposium on Computer Arithmetic (ARITH), pp. 55–62 (2016)

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