Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Predicting Brain Age at Slice Level: Convolutional Neural Networks and Consequences for Interpretability
29
Zitationen
7
Autoren
2021
Jahr
Abstract
Compared to whole brain-based predictive models of neuroimaging-derived brain age, slice-based approach improves the interpretability and therefore the reliability of the prediction of brain age using MRI data.
Ähnliche Arbeiten
"Why Should I Trust You?"
2016 · 14.750 Zit.
Coding Algorithms for Defining Comorbidities in ICD-9-CM and ICD-10 Administrative Data
2005 · 10.549 Zit.
A Comprehensive Survey on Graph Neural Networks
2020 · 8.957 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.567 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 8.083 Zit.