Your browser doesn't support javascript.
loading
The temporal event-based model: Learning event timelines in progressive diseases.
Wijeratne, Peter A; Eshaghi, Arman; Scotton, William J; Kohli, Maitrei; Aksman, Leon; Oxtoby, Neil P; Pustina, Dorian; Warner, John H; Paulsen, Jane S; Scahill, Rachael I; Sampaio, Cristina; Tabrizi, Sarah J; Alexander, Daniel C.
Afiliação
  • Wijeratne PA; UCL Centre for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom.
  • Eshaghi A; Department of Informatics, University of Sussex, Brighton, United Kingdom.
  • Scotton WJ; Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, University College London, London, United Kingdom.
  • Kohli M; Dementia Research Centre, Department of Neurodegenerative Disease, University College London, London, United Kingdom.
  • Aksman L; UCL Centre for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom.
  • Oxtoby NP; Keck School of Medicine, University of Southern California, Los Angeles, California, United States.
  • Pustina D; UCL Centre for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom.
  • Warner JH; CHDI Management/CHDI Foundation, Princeton, New Jersey, United States.
  • Paulsen JS; CHDI Management/CHDI Foundation, Princeton, New Jersey, United States.
  • Scahill RI; Departments of Neurology and Psychiatry, Carver College of Medicine, University of Iowa, Iowa City, Iowa, United States.
  • Sampaio C; Huntington's Disease Centre, Department of Neurodegenerative Disease, University College London, Queen Square, London, United Kingdom.
  • Tabrizi SJ; CHDI Management/CHDI Foundation, Princeton, New Jersey, United States.
  • Alexander DC; Huntington's Disease Centre, Department of Neurodegenerative Disease, University College London, Queen Square, London, United Kingdom.
Imaging Neurosci (Camb) ; 1: 1-19, 2023 Aug 01.
Article em En | MEDLINE | ID: mdl-37719837

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Imaging Neurosci (Camb) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Imaging Neurosci (Camb) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Reino Unido