7 papers indexed here
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
A machine learning model using FDG-PET imaging to accurately predict Alzheimer’s-type tau pathology across spectrums of aging and dementia is developed, providing a novel framework to estimate tau burden non-invasively.
It is suggested that participant-specific reference information may improve Mobil-O-Graph-estimated PWV estimation across repeated measurements, as the model increasingly underestimated higher PWV values, indicating compression of the predicted range.
A physiology- and measurement-informed framework for evaluating PPG-derived descriptors and representations is proposed and provides a structured basis for identifying conditions under which BP-related information may be observable and for defining stronger validation requirements for cuffless BP estimation systems.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.
