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Accuracy and reproducibility of automated white matter hyperintensities segmentation with lesion segmentation tool: A European multi-site 3T study

Federica Ribaldi, Daniele Altomare, Jorge Jovicich, Clarissa Ferrari, Agnese Picco, Francesca B. Pizzini, Andrea Soricelli, Anna Mega, Antonio Ferretti, Antonios Drevelegas, Beatríz Bosch, Bernhard Müller, Camillo Marra, Carlo Cavaliere, David Bartrés‐Faz, Flavio Nobili, Franco Alessandrini, Frederik Barkhof, H. Gros, Jean‐Philippe Ranjeva, Jens Wiltfang, Joost P.A. Kuijer, Julien Sein, Karl‐Titus Hoffmann, Luca Roccatagliata, Lucilla Parnetti, Magda Tsolaki, Manos Constantinidis, Marco Aiello, Marco Salvatore, Martina Montalti, Massimo Caulo, Mira Didic, Núria Bargalló, Olivier Blin, Paolo Maria Rossini, Peter Schönknecht, Piero Floridi, Pierre Payoux, Pieter Jelle Visser, Régis Bordet, Renaud Lopes, R. Tarducci, Stéphanie Bombois, Tilman Hensch, Ute Fiedler, Jill Richardson, Giovanni B. Frisoni, Moira Marizzoni

2020Magnetic Resonance Imaging45 citationsDOIOpen Access PDF

Topics & Concepts

ReproducibilityHyperintensitySegmentationMedicineNuclear medicineBiomedical engineeringMagnetic resonance imagingRadiologyComputer scienceArtificial intelligenceMathematicsStatisticsAcute Ischemic Stroke ManagementDementia and Cognitive Impairment ResearchCerebrovascular and Carotid Artery Diseases
Accuracy and reproducibility of automated white matter hyperintensities segmentation with lesion segmentation tool: A European multi-site 3T study | Litcius