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A new method for reconstructing brain morphology: Applying the brain-neurocranial spatial relationship in an extant lungfish to a fossil endocast
Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Organismal Biology, Evolution and Developmental Biology.
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
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2016 (English)In: Royal Society Open Science, ISSN 2052-3068, E-ISSN 2046-2069, Vol. 3, no 7, 160307Article in journal (Refereed) Published
Place, publisher, year, edition, pages
2016. Vol. 3, no 7, 160307
National Category
Evolutionary Biology Computer Vision and Robotics (Autonomous Systems)
Research subject
Computerized Image Processing
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URN: urn:nbn:se:uu:diva-306772DOI: 10.1098/rsos.160307ISI: 000384409400021PubMedID: 27493784OAI: oai:DiVA.org:uu-306772DiVA: diva2:1045617
Available from: 2016-07-20 Created: 2016-11-03 Last updated: 2016-11-11Bibliographically approved

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Clement, Alice M.Strand, RobinNysjö, JohanAhlberg, Per E.
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Evolution and Developmental BiologyDivision of Visual Information and InteractionComputerized Image Analysis and Human-Computer Interaction
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