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Direct machine learning reconstruction of respiratory variation waveforms from resting state fMRI data in a pediatric population.
Addeh, Abdoljalil; Vega, Fernando; Medi, Prathistith Raj; Williams, Rebecca J; Pike, G Bruce; MacDonald, M Ethan.
Afiliación
  • Addeh A; Department of Biomedical Engineering, Schulich School of Engineering, University of Calgary, Canada; Department of Electrical & Software Engineering, Schulich School of Engineering, University of Calgary, Canada; Department of Radiology, Cumming School of Medicine, University of Calgary, Canada;
  • Vega F; Department of Biomedical Engineering, Schulich School of Engineering, University of Calgary, Canada; Department of Electrical & Software Engineering, Schulich School of Engineering, University of Calgary, Canada; Department of Radiology, Cumming School of Medicine, University of Calgary, Canada;
  • Medi PR; Data Science and Artificial Intelligence, International Institute of Information Technology, Naya Raipur, India.
  • Williams RJ; Department of Radiology, Cumming School of Medicine, University of Calgary, Canada; Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Canada; Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Canada.
  • Pike GB; Department of Radiology, Cumming School of Medicine, University of Calgary, Canada; Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Canada; Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Canada.
  • MacDonald ME; Department of Biomedical Engineering, Schulich School of Engineering, University of Calgary, Canada; Department of Electrical & Software Engineering, Schulich School of Engineering, University of Calgary, Canada; Department of Radiology, Cumming School of Medicine, University of Calgary, Canada;
Neuroimage ; 269: 119904, 2023 04 01.
Article en En | MEDLINE | ID: mdl-36709788

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Conectoma / Aprendizaje Profundo Límite: Adolescent / Adult / Child / Child, preschool / Humans Idioma: En Revista: Neuroimage Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2023 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Conectoma / Aprendizaje Profundo Límite: Adolescent / Adult / Child / Child, preschool / Humans Idioma: En Revista: Neuroimage Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2023 Tipo del documento: Article
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