Browsing by Author "Grothe, Michel J"
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- ItemThe EADC-ADNI Harmonized Protocol for manual hippocampal segmentation on magnetic resonance: Evidence of validity.(2014-09-30) Frisoni, Giovanni B; Jack, Clifford R; Bocchetta, Martina; Bauer, Corinna; Frederiksen, Kristian S; Liu, Yawu; Preboske, Gregory; Swihart, Tim; Blair, Melanie; Cavedo, Enrica; Grothe, Michel J; Lanfredi, Mariangela; Martinez, Oliver; Nishikawa, Masami; Portegies, Marileen; Stoub, Travis; Ward, Chadwich; Apostolova, Liana G; Ganzola, Rossana; Wolf, Dominik; Barkhof, Frederik; Bartzokis, George; DeCarli, Charles; Csernansky, John G; deToledo-Morrell, Leyla; Geerlings, Mirjam I; Kaye, Jeffrey; Killiany, Ronald J; Lehéricy, Stephane; Matsuda, Hiroshi; O'Brien, John; Silbert, Lisa C; Scheltens, Philip; Soininen, Hilkka; Teipel, Stefan; Waldemar, Gunhild; Fellgiebel, Andreas; Barnes, Josephine; Firbank, Michael; Gerritsen, Lotte; Henneman, Wouter; Malykhin, Nikolai; Pruessner, Jens C; Wang, Lei; Watson, Craig; Wolf, Henrike; deLeon, Mony; Pantel, Johannes; Ferrari, Clarissa; Bosco, Paolo; Pasqualetti, Patrizio; Duchesne, Simon; Duvernoy, Henri; Boccardi, Marina; ,An international Delphi panel has defined a harmonized protocol HarP for the manual segmentation of the hippocampus on MR The aim of this study is to study the concurrent validity of the HarP toward local protocols and its major sources of variance
- ItemTraining labels for hippocampal segmentation based on the EADC-ADNI harmonized hippocampal protocol.(2015-01-24) Boccardi, Marina; Bocchetta, Martina; Morency, Félix C; Collins, D Louis; Nishikawa, Masami; Ganzola, Rossana; Grothe, Michel J; Wolf, Dominik; Redolfi, Alberto; Pievani, Michela; Antelmi, Luigi; Fellgiebel, Andreas; Matsuda, Hiroshi; Teipel, Stefan; Duchesne, Simon; Jack, Clifford R; Frisoni, Giovanni B; ,The European Alzheimer s Disease Consortium and Alzheimer s Disease Neuroimaging Initiative ADNI Harmonized Protocol HarP is a Delphi definition of manual hippocampal segmentation from magnetic resonance imaging MRI that can be used as the standard of truth to train new tracers and to validate automated segmentation algorithms Training requires large and representative data sets of segmented hippocampi This work aims to produce a set of HarP labels for the proper training and certification of tracers and algorithms