Page
%P
![Loading...](https://link.springer.com/static/c4a417b97a76cc2980e3c25e2271af3129e08bbe/images/pdf-preview/spacer.gif)
-
Chapter and Conference Paper
Differentiation of Recurrent Glioblastoma from Radiation Necrosis Using Diffusion Radiomics: Machine Learning Model Development and External Validation
We aimed to establish a high-performing radiomics strategy to differentiate recurrent glioblastoma (GBM) from radiation necrosis (RN). Eighty-six patients with posttreatment GBM were enrolled in the training s...
-
Article
Open AccessEarly detection of influenza outbreak using time derivative of incidence
For mitigation strategies of an influenza outbreak, it can be helpful to understand the characteristics of regional and age-group-specific spread. In South Korea, however, there has been no official statistic ...