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Deep learning based low-activity PET reconstruction of [11C]PiB and [18F]FE-PE2I in neurodegenerative disorders.
Daveau, Raphaël Sura; Law, Ian; Henriksen, Otto Mølby; Hasselbalch, Steen Gregers; Andersen, Ulrik Bjørn; Anderberg, Lasse; Højgaard, Liselotte; Andersen, Flemming Littrup; Ladefoged, Claes Nøhr.
Afiliação
  • Daveau RS; Department of Clinical Physiology and Nuclear Medicine, Rigshospitalet, University of Copenhagen, Denmark.
  • Law I; Department of Clinical Physiology and Nuclear Medicine, Rigshospitalet, University of Copenhagen, Denmark.
  • Henriksen OM; Department of Clinical Physiology and Nuclear Medicine, Rigshospitalet, University of Copenhagen, Denmark.
  • Hasselbalch SG; Danish Dementia Research Centre, Rigshospitalet, University of Copenhagen, Denmark.
  • Andersen UB; Department of Clinical Physiology and Nuclear Medicine, Rigshospitalet, University of Copenhagen, Denmark.
  • Anderberg L; Department of Clinical Physiology and Nuclear Medicine, Rigshospitalet, University of Copenhagen, Denmark.
  • Højgaard L; Department of Clinical Physiology and Nuclear Medicine, Rigshospitalet, University of Copenhagen, Denmark.
  • Andersen FL; Department of Clinical Physiology and Nuclear Medicine, Rigshospitalet, University of Copenhagen, Denmark.
  • Ladefoged CN; Department of Clinical Physiology and Nuclear Medicine, Rigshospitalet, University of Copenhagen, Denmark. Electronic address: claes.noehr.ladefoged@regionh.dk.
Neuroimage ; 259: 119412, 2022 10 01.
Article em En | MEDLINE | ID: mdl-35753592

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doença de Parkinson / Aprendizado Profundo / Nortropanos Limite: Humans Idioma: En Revista: Neuroimage Assunto da revista: DIAGNOSTICO POR IMAGEM Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Dinamarca

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doença de Parkinson / Aprendizado Profundo / Nortropanos Limite: Humans Idioma: En Revista: Neuroimage Assunto da revista: DIAGNOSTICO POR IMAGEM Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Dinamarca