Resultats globals: 3 registres trobats en 0.01 segons.
Articles, 3 registres trobats
Articles 3 registres trobats  
1.
11 p, 338.3 KB Opportunities for Understanding MS Mechanisms and Progression With MRI Using Large-Scale Data Sharing and Artificial Intelligence / Vrenken, Hugo (Hospital Universitari Vall d'Hebron. Institut de Recerca) ; Jenkinson, Mark (Hospital Universitari Vall d'Hebron. Institut de Recerca) ; Pham, Dzung L. (Hospital Universitari Vall d'Hebron. Institut de Recerca) ; Guttmann, Charles R. G. (Hospital Universitari Vall d'Hebron. Institut de Recerca) ; Pareto, Deborah (Hospital Universitari Vall d'Hebron. Institut de Recerca) ; Paardekooper, Michel (Hospital Universitari Vall d'Hebron. Institut de Recerca) ; de Sitter, Alexandra (Hospital Universitari Vall d'Hebron. Institut de Recerca) ; Rocca, Maria A. (Hospital Universitari Vall d'Hebron. Institut de Recerca) ; Wottschel, Viktor (Hospital Universitari Vall d'Hebron. Institut de Recerca) ; Cardoso, M. Jorge (Hospital Universitari Vall d'Hebron. Institut de Recerca) ; Barkhof, Frederik (Hospital Universitari Vall d'Hebron. Institut de Recerca) ; Universitat Autònoma de Barcelona
Patients with multiple sclerosis (MS) have heterogeneous clinical presentations, symptoms, and progression over time, making MS difficult to assess and comprehend in vivo. The combination of large-scale data sharing and artificial intelligence creates new opportunities for monitoring and understanding MS using MRI. [...]
2021 - 10.1212/WNL.0000000000012884
Neurology, Vol. 97 (november 2021) , p. 989-999  
2.
13 p, 1.2 MB Progression of regional grey matter atrophy in multiple sclerosis / Eshaghi, Arman (University College London. Department of Computer Science) ; Marinescu, Razvan V (University College London. Department of Computer Science) ; Young, Alexandra L. (University College London. Department of Computer Science) ; Firth, Nicholas C. (University College London. Department of Computer Science) ; Prados Carrasco, Ferran (University College London. Department of Medical Physics and Bioengineering) ; Jorge Cardoso, M. (University College London. Department of Medical Physics and Bioengineering) ; Tur, Carmen (University College London. Faculty of Brain Sciences) ; De Angelis, Floriana (University College London. Faculty of Brain Sciences) ; Cawley, Niamh (University College London. Faculty of Brain Sciences) ; Brownlee, Wallace J. (University College London. Faculty of Brain Sciences) ; De Stefano, Nicola (University of Siena (Itàlia). Department of Medicine, Surgery and Neuroscience) ; Laura Stromillo, M. (University of Siena (Itàlia). Department of Medicine, Surgery and Neuroscience) ; Battaglini, Marco (University of Siena (Itàlia). Department of Medicine, Surgery and Neuroscience) ; Ruggieri, Serena (University of Rome Sapienza. Department of Neurology and Psychiatry) ; Gasperini, Claudio (San Camillo Forlanini Hospital) ; Filippi, Massimo (Vita-Salute San Raffaele University (Milà, Itàlia)) ; Rocca, Maria A. (Vita-Salute San Raffaele University (Milà, Itàlia)) ; Rovira, Alex (Hospital Universitari Vall d'Hebron) ; Sastre-Garriga, Jaume (Hospital Universitari Vall d'Hebron. Institut de Recerca) ; Geurts, Jeroen J. G. (Amsterdam UMC. University Medical Center) ; Vrenken, Hugo (MS Center Amsterdam. Department of Radiology and Nuclear Medicine) ; Wottschel, Viktor (MS Center Amsterdam. Department of Radiology and Nuclear Medicine) ; Leurs, Cyra E. (MS Center Amsterdam. Department of Radiology and Nuclear Medicine) ; Uitdehaag, Bernard (MS Center Amsterdam. Department of Radiology and Nuclear Medicine) ; Pirpamer, Lukas (Medical University of Graz (Graz, Àustria)) ; Enzinger, Christian (Medical University of Graz (Graz, Àustria)) ; Ourselin, Sebastien (University College London Hospitals) ; Gandini Wheeler-Kingshott, Claudia A. M (IRCCS Mondino Foundation (Pavia, Itàlia)) ; Chard, Declan (University College London Hospitals) ; Thompson, Alan J. (University College London. Faculty of Brain Sciences) ; Barkhof, Frederik (MS Center Amsterdam. Department of Radiology and Nuclear Medicine) ; Alexander, Daniel C.. (University College London. Department of Computer Science) ; Ciccarelli, Olga (University College London Hospitals) ; Universitat Autònoma de Barcelona
See Stankoff and Louapre (doi:) for a scientific commentary on this article. Grey matter atrophy in multiple sclerosis affects certain areas preferentially. Eshaghi et al. use a data-driven computational model to predict the order in which regions atrophy, and use this sequence to stage patients. [...]
2018 - 10.1093/brain/awy088
Brain, Vol. 141 (may 2018) , p. 1665-1677  
3.
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  

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