Keywords

Artificial Intelligence; Data Mining; Image Interpretation, Computer-Assisted; Image Processing, Computer-Assisted

Research group(s)

• QIMP group

Research interests

Machine learning, image processing, personalized medicine, tumour characterization

Techniques, methods & infrastructure

Techniques, Methods: In vivo feature engineering, Radiomics, Feature selection, Ensemble learning, Monte Carlo cross-validation

Infrastructure: high-performance computing (ITSC), Microsoft Azure cloud computing

Selected publications

1. Papp, L. et al., 2018. Optimized feature extraction for radiomics analysis of 18F-FDG-PET imaging. Journal of Nuclear Medicine, p.jnumed.118.217612. Available at: http://dx.doi.org/10.2967/jnumed.118.217612.
2. Papp, L. et al., 2017. Glioma Survival Prediction with Combined Analysis of In Vivo11C-MET PET Features, Ex Vivo Features, and Patient Features by Supervised Machine Learning. Journal of Nuclear Medicine, 59(6), pp.892-899. Available at: http://dx.doi.org/10.2967/jnumed.117.202267.
3. Papp, L. et al., 2018. Personalizing Medicine Through Hybrid Imaging and Medical Big Data Analysis. Frontiers in Physics, 6. Available at: http://dx.doi.org/10.3389/fphy.2018.00051.