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Titel:

q-Space Novelty Detection in Short Diffusion MRI Scans of Multiple Sclerosis

Dokumenttyp:
Konferenzbeitrag
Autor(en):
Golkov, V.; Vasilev, A.; Pasa, F.; Lipp, I.; Boubaker, W.; Sgarlata, E.; Pfeiffer, F.; Tomassini, V.; Jones, D. K.; Cremers, D.
Stichworte:
novelty detection, anomaly detection, machine learning, medical imaging, magnetic resonance imaging, diffusion MRI, segmentation
Kongress- / Buchtitel:
International Society for Magnetic Resonance in Medicine (ISMRM) Annual Meeting
Jahr:
2018
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