Frontiers in Artificial Intelligence (Jul 2021)
Corrigendum: A Frequency-Domain Machine Learning Method for Dual-Calibrated fMRI Mapping of Oxygen Extraction Fraction (OEF) and Cerebral Metabolic Rate of Oxygen Consumption (CMRO2)
- Michael Germuska,
- Hannah Louise Chandler,
- Thomas Okell,
- Fabrizio Fasano,
- Valentina Tomassini,
- Valentina Tomassini,
- Valentina Tomassini,
- Kevin Murphy,
- Richard G. Wise,
- Richard G. Wise,
- Richard G. Wise
Affiliations
- Michael Germuska
- Cardiff University Brain Research Imaging Centre (CUBRIC), Department of Psychology, Cardiff University, Cardiff, United Kingdom
- Hannah Louise Chandler
- Cardiff University Brain Research Imaging Centre (CUBRIC), Department of Psychology, Cardiff University, Cardiff, United Kingdom
- Thomas Okell
- FMRIB, Nuffield Department of Clinical Neurosciences, Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, United Kingdom
- Fabrizio Fasano
- Siemens Healthcare Ltd., Camberley, United Kingdom
- Valentina Tomassini
- Cardiff University Brain Research Imaging Centre (CUBRIC), Department of Psychology, Cardiff University, Cardiff, United Kingdom
- Valentina Tomassini
- Division of Psychological Medicine and Clinical Neurosciences, Cardiff University School of Medicine, Cardiff, United Kingdom
- Valentina Tomassini
- Department of Neuroscience, Imaging and Clinical Sciences, “G. D’Annunzio University” of Chieti-Pescara, Chieti, Italy
- Kevin Murphy
- Cardiff University Brain Research Imaging Centre (CUBRIC), Department of Psychology, Cardiff University, Cardiff, United Kingdom
- Richard G. Wise
- Cardiff University Brain Research Imaging Centre (CUBRIC), Department of Psychology, Cardiff University, Cardiff, United Kingdom
- Richard G. Wise
- Department of Neuroscience, Imaging and Clinical Sciences, “G. D’Annunzio University” of Chieti-Pescara, Chieti, Italy
- Richard G. Wise
- Institute for Advanced Biomedical Technologies, “G. D’Annunzio University” of Chieti-Pescara, Chieti, Italy
- DOI
- https://doi.org/10.3389/frai.2021.614245
- Journal volume & issue
-
Vol. 4
Abstract
No abstracts available.Keywords