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CADMUS: A Novel MRI-Based Classification of Spontaneous Intracerebral Hemorrhage Associated With Cerebral Small Vessel Disease

Martina Béatrice GoeldlinMadlaine MuellerBernhard Matthias SiepenWenpeng ZhangHatice OzkanMartina LocatelliYang DuWaldo Valenzuela PinillaPiotr RadojewskiArsany HakimJohannes KaesmacherThomas Raphael MeinelLeander CleninMattia BrancaDavide StramboTim Steffen FischerFriedrich MedlinNils PetersEmmanuel CarreraKarl-Olof LövbladGrzegorz Marek KarwackiCarlo Walter CeredaJulien NiederhauserMarie-Luise MonoAchim MuellerSusanne WegenerSabine SartorettiAlexandros A PolymerisValerian L AltersbergerMira KatanMarios PsychogiosRolf SturzeneggerClaude NauerMichael SchaererCarlos Buitrago TellezSusanne RenaudKatharina Minkner KlahreWerner J Z'GraggenDavid BerviniLeo H BonatiRoland WiestMarcel ArnoldRobert J SimisterDuncan WilsonHans Rolf JägerUrs FischerDavid John WerringDavid Julian Seiffgenull null
Published in: Neurology (2023)
CADMUS, a novel MRI-based classification for SVD-associated ICH, is feasible and reproducible and may improve the classification of ICH subtypes in clinical practice and research.
Keyphrases
  • deep learning
  • machine learning
  • clinical practice
  • contrast enhanced
  • magnetic resonance imaging
  • brain injury
  • diffusion weighted imaging
  • subarachnoid hemorrhage
  • computed tomography
  • magnetic resonance