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1.
8 p, 2.0 MB Development and evaluation of a manual segmentation protocol for deep grey matter in multiple sclerosis : Towards accelerated semi-automated references / de Sitter, Alexandra (MS Center Amsterdam) ; Burggraaff, Jessica (MS Center Amsterdam) ; Bartel, Fabian (MS Center Amsterdam) ; Palotai, Miklos (Harvard Medical School) ; Liu, Yaou (MS Center Amsterdam) ; Simoes, Jorge (MS Center Amsterdam) ; Ruggieri, Serena (San Camillo Forlanini Hospital) ; Schregel, Katharina (University Medical Center Goettingen) ; Ropele, Stefan (Medical University of Graz) ; Rocca, Maria A. (San Raffaele Scientific Institute) ; Gasperini, Claudio (San Camillo Forlanini Hospital) ; Gallo, Antonio (University of Campania "Luigi Vanvitelli", Naples) ; Schoonheim, Menno M. (Amsterdam UMC) ; Amann, Michael (University Hospital Basel (Basilea, Suïssa)) ; Yiannakas, Marios (UCL Institute of Neurology (Regne Unit)) ; Pareto, Deborah (Hospital Universitari Vall d'Hebron) ; Wattjes, Mike P. (Hannover Medical School) ; Sastre-Garriga, Jaume (Hospital Universitari Vall d'Hebron) ; Kappos, Ludwig (University Hospital Basel (Basilea, Suïssa)) ; Filippi, Massimo (Vita-Salute San Raffaele University) ; Enzinger, Christian (Medical University of Graz) ; Frederiksen, Jette (Glostrup University Hospital Copenhagen) ; Uitdehaag, Bernard (MS Center Amsterdam) ; Guttmann, Charles R. G. (Harvard Medical School) ; Barkhof, Frederik (Institutes of Neurology & Healthcare Engineering, London) ; Vrenken, Hugo (Amsterdam UMC) ; Universitat Autònoma de Barcelona
Deep grey matter (dGM) structures, particularly the thalamus, are clinically relevant in multiple sclerosis (MS). However, segmentation of dGM in MS is challenging; labeled MS-specific reference sets are needed for objective evaluation and training of new methods. [...]
2021 - 10.1016/j.nicl.2021.102659
NeuroImage, Vol. 30 (april 2021)  
Registre complet - Creative Commons
2.
14 p, 1.7 MB Reduced accuracy of MRI deep grey matter segmentation in multiple sclerosis : an evaluation of four automated methods against manual reference segmentations in a multi-center cohort / de Sitter, Alexandra (Amsterdam Neuroscience, Amsterdam UMC, Location VUmc. Department of Radiology and Nuclear Medicine, MS Center Amsterdam) ; Verhoeven, Tom (Amsterdam Neuroscience, Amsterdam UMC, Location VUmc. Department of Radiology and Nuclear Medicine, MS Center Amsterdam) ; Burggraaff, Jessica (Amsterdam Neuroscience, Amsterdam UMC, Location VUmc. Department of Neurology, MS Center Amsterdam) ; Liu, Yaou (Amsterdam Neuroscience, Amsterdam UMC, Location VUmc. Department of Radiology and Nuclear Medicine, MS Center Amsterdam) ; Simoes, Jorge (Amsterdam Neuroscience, Amsterdam UMC, Location VUmc. Department of Radiology and Nuclear Medicine, MS Center Amsterdam) ; Ruggieri, Serena (San Camillo Forlanini Hospital) ; Palotai, Miklos (Brigham and Women's Hospital (Boston, Estats Units d'Amèrica)) ; Brouwer, Iman (Amsterdam Neuroscience, Amsterdam UMC, Location VUmc. Department of Radiology and Nuclear Medicine, MS Center Amsterdam) ; Versteeg, Adriaan (Amsterdam Neuroscience, Amsterdam UMC, Location VUmc. Department of Radiology and Nuclear Medicine, MS Center Amsterdam) ; Wottschel, Viktor (Amsterdam Neuroscience, Amsterdam UMC, Location VUmc. Department of Radiology and Nuclear Medicine, MS Center Amsterdam) ; Ropele, Stefan (Medical University of Graz. Department of Neurology) ; Rocca, Mara A. (IRCCS San Raffaele Scientific Institute (Milà, Itàlia). Neurology Unit) ; Gasperini, Claudio (San Camillo Forlanini Hospital) ; Gallo, Antonio (University of Campania "Luigi Vanvitelli". Division of Neurology and MRI Research Center, Department of Medical, Surgical, Neurologic, Metabolic and Aging Sciences) ; Yiannakas, Marios C. (University College London. Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology) ; Rovira, Alex (Hospital Universitari Vall d'Hebron. Institut de Recerca) ; Enzinger, Christian (University of Graz. Division of Neuroradiology, Vascular and Interventional Radiology, Department of Radiology Medical) ; Filippi, Massimo (Vita-Salute San Raffaele University) ; De Stefano, Nicola (University of Siena. Department of Neurological and Behavioural Sciences) ; Kappos, Ludwig (University Hospital, Kantonsspital. Department of Neurology) ; Frederiksen, Jette L. (Glostrup University Hospital Copenhagen) ; Uitdehaag, Bernard M. J. (Amsterdam Neuroscience, Amsterdam UMC, Location VUmc. Department of Neurology, MS Center Amsterdam) ; Barkhof, Frederik (University College London. Institutes of Neurology & Healthcare Engineering) ; Guttmann, Charles R. G. (Brigham and Women's Hospital (Boston, Estats Units d'Amèrica)) ; Vrenken, Hugo (Amsterdam Neuroscience, Amsterdam UMC, Location VUmc. Department of Radiology and Nuclear Medicine, MS Center Amsterdam) ; Universitat Autònoma de Barcelona
Deep grey matter (DGM) atrophy in multiple sclerosis (MS) and its relation to cognitive and clinical decline requires accurate measurements. MS pathology may deteriorate the performance of automated segmentation methods. [...]
2020 - 10.1007/s00415-020-10023-1
Journal of Neurology, Vol. 267 (july 2020) , p. 3541-3554  
Registre complet - Creative Commons

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