Our research focuses on developing data science approaches for medical applications, with emphasis on treatment outcome prediction, biomarker identification and automatic segmentation of radiotherapy target volumes. We analyse medical images and tabular data to develop our models. Areas of interest are feature engineering, feature selection, multivariate and multi-source data analysis, machine learning, deep learning and related software development.
- Automatic target volume segmentation
- Treatment outcome prediction
- Method and software development
- Master’s theses