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Prediction of CT images from MR images with hidden Markov and random field models
Umeå University, Faculty of Science and Technology, Department of Mathematics and Mathematical Statistics.
Institute of Mathematics and Statistics, University of Tartu, Tartu, Estonia.
Umeå University, Faculty of Medicine, Department of Radiation Sciences.
Department of Mathematical Sciences, Chalmers and University of Gothenburg, Gothenburg, Sweden.
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2016 (English)In: Proceedings of the 8th International Workshop on Spatio-Temporal Modelling / [ed] A. Iftimi, J. Mateu and F. Montes, 2016, p. 163-163Conference paper, Poster (with or without abstract) (Other academic)
Place, publisher, year, edition, pages
2016. p. 163-163
National Category
Probability Theory and Statistics Medical Image Processing
Research subject
Mathematical Statistics
Identifiers
URN: urn:nbn:se:umu:diva-141539ISBN: 978-84-608-8468-2 (print)OAI: oai:DiVA.org:umu-141539DiVA, id: diva2:1155294
Conference
METMA VIII - 8th International Workshop on Spatio-temporal Modelling, 1-3 June, Valencia, Spain
Projects
Statistical modelling and intelligent data sampling in MRI and PET measurements for cancer therapy assessment
Funder
Swedish Research Council, 340-2013-5342Available from: 2017-11-07 Created: 2017-11-07 Last updated: 2018-06-09

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Bayisa, FekaduJohansson, AdamYu, Jun

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Bayisa, FekaduJohansson, AdamYu, Jun
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Probability Theory and StatisticsMedical Image Processing

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CiteExportLink to record
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