Tim van de Brug
Papers
1
Total Citations
135
H-Index
1
About
Dr. Tim van de Brug is a leading researcher at the intersection of nuclear medicine and artificial intelligence, with a primary focus on advancing precision oncology through quantitative imaging. His most impactful work centers on the application of machine learning to radiomics, particularly for improving risk stratification in prostate cancer. In his landmark 2020 study, cited over 135 times, Dr. van de Brug demonstrated how machine learning-based analysis of [18F]DCFPyL PET radiomics can non-invasively and objectively stratify primary prostate cancer patients, moving beyond traditional qualitative assessments. This contribution is pivotal for enabling more personalized treatment planning by leveraging quantitative PSMA PET metrics. By integrating advanced computational methods with molecular imaging, his research is helping to define a new paradigm for cancer diagnostics, where AI-driven analysis of imaging data provides deeper prognostic insights. Dr. van de Brug’s work is widely recognized for its translational potential, bridging the gap between complex imaging data and actionable clinical decision-making in oncology.
Research Focus
Key Achievements
Top Papers
- 1