Frank J. W. M. Dankers
Leiden University Medical Center(NL)
Publications by Year
Research Areas
Radiomics and Machine Learning in Medical Imaging, Advanced Radiotherapy Techniques, Lung Cancer Diagnosis and Treatment, Medical Imaging Techniques and Applications, Esophageal Cancer Research and Treatment
Most-Cited Works
- → Machine learning algorithms for outcome prediction in (chemo)radiotherapy: An empirical comparison of classifiers(2018)299 cited
- → Distributed learning on 20 000+ lung cancer patients – The Personal Health Train(2020)162 cited
- → Prediction Modeling Methodology(2018)97 cited
- → Distributed radiomics as a signature validation study using the Personal Health Train infrastructure(2019)65 cited
- → Multivariable normal-tissue complication modeling of acute esophageal toxicity in advanced stage non-small cell lung cancer patients treated with intensity-modulated (chemo-)radiotherapy(2015)64 cited
- → Comparison of toxicity and outcome in advanced stage non-small cell lung cancer patients treated with intensity-modulated (chemo-)radiotherapy using IMRT or VMAT(2016)40 cited
- → Multifactorial risk factors for mortality after chemotherapy and radiotherapy for non-small cell lung cancer(2019)38 cited
- → Non-invasive imaging prediction of tumor hypoxia: A novel developed and externally validated CT and FDG-PET-based radiomic signatures(2020)30 cited
- → Effects of midazolam and lidocaine on spectral properties of the EEG in full-term neonates with stroke(2012)20 cited
- → Inclusion of Incidental Radiation Dose to the Cardiac Atria and Ventricles Does Not Improve the Prediction of Radiation Pneumonitis in Advanced-Stage Non-Small Cell Lung Cancer Patients Treated With Intensity Modulated Radiation Therapy(2017)18 cited