TractMMR: Tractography Streamline Rating through User-guided Matchmaking

dc.contributor.authorVink, Rubenen_US
dc.contributor.authorVilanova, Annaen_US
dc.contributor.authorChamberland, Maximeen_US
dc.contributor.editorDiehl, Alexandraen_US
dc.contributor.editorKucher, Kostiantynen_US
dc.contributor.editorMédoc, Nicolasen_US
dc.date.accessioned2025-05-26T06:55:17Z
dc.date.available2025-05-26T06:55:17Z
dc.date.issued2025
dc.description.abstractDiffusion MRI tractography suffers from an ever-increasing parameter problem in which little to no semantic connection exists between input parameters and output tractogram. We present an approach for users to semantically interact with their data in order to produce a ranking over the parameter space which can be used to filter outputs and in downstream tasks to improve parameter selection. Our approach is a first step in bringing visual analytics closer to daily neuropractice by providing users a direct semantic interaction with their data.en_US
dc.description.sectionheadersPosters
dc.description.seriesinformationEuroVis 2025 - Posters
dc.identifier.doi10.2312/evp.20251136
dc.identifier.isbn978-3-03868-286-8
dc.identifier.pages3 pages
dc.identifier.urihttps://doi.org/10.2312/evp.20251136
dc.identifier.urihttps://diglib.eg.org/handle/10.2312/evp20251136
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Applied computing → Health informatics; Human-centered computing → Visual analytics
dc.subjectApplied computing → Health informatics
dc.subjectHuman centered computing → Visual analytics
dc.titleTractMMR: Tractography Streamline Rating through User-guided Matchmakingen_US
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