Riku Klén
PhD
riku.klen@utu.fi Kiinamyllynkatu 4-8 Turku |
Medical imaging, imaging instrumentation, machine learning, longitudinal analysis, geometric function theory, hyperbolic type geometries, quasiconformal mappings
6 of 14
- New method of using a convolutional neural network for 2D intraprostatic tumor segmentation from PET images (2023)
- Research on Biomedical Engineering
- Prognostic value of combined coronary CT angiography and myocardial perfusion imaging in women and men (2023)
- EHJ Cardiovascular Imaging / European Heart Journal - Cardiovascular Imaging
- Quantitative Perfusion Imaging with Total-Body PET (2023)
- Journal of Nuclear Medicine
- Risk factors for revision due to prosthetic joint infection following total knee arthroplasty based on 62,087 knees in the Finnish Arthroplasty Register from 2014 to 2020 (2023)
- Acta Orthopaedica
- Segmentation of Dynamic Total-Body [18F]-FDG PET Images Using Unsupervised Clustering (2023)
- International Journal of Biomedical Imaging
- Advanced pattern recognition tools for disease diagnosis (2022) 5G IoT and Edge Computing for Smart Healthcare Subasi Abdulhamit, Panigrahi Siba Smarak, Patil Bhalchandra Sunil, Canbaz Abdullah, Klén Riku
- Are Quantitative Errors Reduced with Time-of-Flight Reconstruction When Using Imperfect MR-Based Attenuation Maps for F-18-FDG PET/MR Neuroimaging? (2022)
- Applied Sciences
- Artificial Intelligence to Improve Risk Prediction with Nuclear Cardiac Studies (2022)
- Current Cardiology Reports
- Classification of ischemia from myocardial polar maps in 15 O-H 2 O cardiac perfusion imaging using a convolutional neural network (2022)
- Scientific Reports
- Development and evaluation of a machine learning-based in-hospital COVID-19 disease outcome predictor (CODOP): A multicontinental retrospective study (2022)
- eLife
UTU Research Portal