László Papp
Medical University of Vienna(AT)
Publications by Year
Research Areas
Radiomics and Machine Learning in Medical Imaging, Medical Imaging Techniques and Applications, Astrophysics and Cosmic Phenomena, Neutrino Physics Research, Advanced X-ray and CT Imaging
Most-Cited Works
- → The Pacific Ocean Neutrino Experiment(2020)190 cited
- → Correlation of Inflammation Assessed by 18F-FDG PET, Active Mineral Deposition Assessed by 18F-Fluoride PET, and Vascular Calcification in Atherosclerotic Plaque: A Dual-Tracer PET/CT Study(2011)187 cited
- → Textural Parameters of Tumor Heterogeneity in 18F-FDG PET/CT for Therapy Response Assessment and Prognosis in Patients with Locally Advanced Rectal Cancer(2014)146 cited
- → Supervised machine learning enables non-invasive lesion characterization in primary prostate cancer with [68Ga]Ga-PSMA-11 PET/MRI(2020)135 cited
- → Textural features in pre-treatment [F18]-FDG-PET/CT are correlated with risk of local recurrence and disease-specific survival in early stage NSCLC patients receiving primary stereotactic radiation therapy(2015)113 cited
- → Glioma Survival Prediction with Combined Analysis of In Vivo 11C-MET PET Features, Ex Vivo Features, and Patient Features by Supervised Machine Learning(2017)101 cited