Imaging provides the basis for radiotherapy. Multi-modality images are used for target
delineation (primary tumor and nodes, boost volume) and organs at risk, treatment …

Purpose Precision cancer medicine is dependent on accurate prediction of disease and
treatment outcome, requiring integration of clinical, imaging and interventional knowledge …

Many studies have built machine-learning (ML)-based prognostic models for glioblastoma
(GBM) based on radiological features. We wished to compare the predictive performance of …

Enabling automated pipelines, image analysis and big data methodology in cancer clinics
requires thorough understanding of the data. Automated quality assurance steps could …

Recent technologies have enabled us to collect diverse types of genome-wide data at an
unprecedented scale and in multiple dimensions. Integrative computational methods are …

Accurate prediction of a cancer patient's outcome is imperative to treatment selection and
decision support. Recently, automated data analysis pipelines have been explored to model …