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Title:
q-Space Novelty Detection in Short Diffusion MRI Scans of Multiple Sclerosis
Document type:
Konferenzbeitrag
Author(s):
Golkov, V.; Vasilev, A.; Pasa, F.; Lipp, I.; Boubaker, W.; Sgarlata, E.; Pfeiffer, F.; Tomassini, V.; Jones, D. K.; Cremers, D.
Keywords:
novelty detection, anomaly detection, machine learning, medical imaging, magnetic resonance imaging, diffusion MRI, segmentation
Book / Congress title:
International Society for Magnetic Resonance in Medicine (ISMRM) Annual Meeting
Year:
2018
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mediaTUM Gesamtbestand
Hochschulbibliographie
2018
Integrated Research Centers
Institute for Advanced Study (IAS)
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Cremers, Daniel
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2018
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Research Areas
Research Area: Advanced Computation and Modeling
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Focus Group: Computer Vision and Machine Learning