Riku Klén
PhD
riku.klen@utu.fi Kiinamyllynkatu 4-8 Turku ORCID identifier: https://orcid.org/0000-0002-0982-8360 |
Areas of expertise
Medical imaging, imaging instrumentation, machine learning, longitudinal analysis, geometric function theory, hyperbolic type geometries, quasiconformal mappings
Medical imaging, imaging instrumentation, machine learning, longitudinal analysis, geometric function theory, hyperbolic type geometries, quasiconformal mappings
Publications 
6 of 14
- New method of using a convolutional neural network for 2D intraprostatic tumor segmentation from PET images (2023)
- Research on Biomedical Engineering
(A1 Refereed original research article in a scientific journal) - Prognostic value of combined coronary CT angiography and myocardial perfusion imaging in women and men (2023)
- EHJ Cardiovascular Imaging / European Heart Journal - Cardiovascular Imaging
(A1 Refereed original research article in a scientific journal) - Quantitative Perfusion Imaging with Total-Body PET (2023)
- Journal of Nuclear Medicine
(A2 Refereed review article in a scientific journal ) - 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
(A1 Refereed original research article in a scientific journal) - Segmentation of Dynamic Total-Body [18F]-FDG PET Images Using Unsupervised Clustering (2023)
- International Journal of Biomedical Imaging
(A1 Refereed original research article in a scientific journal) - 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
(B2 Non-refereed book chapter or chapter in a compilation book) - 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
(A1 Refereed original research article in a scientific journal) - Artificial Intelligence to Improve Risk Prediction with Nuclear Cardiac Studies (2022)
- Current Cardiology Reports
(A2 Refereed review article in a scientific journal ) - Classification of ischemia from myocardial polar maps in 15 O-H 2 O cardiac perfusion imaging using a convolutional neural network (2022)
- Scientific Reports
(A1 Refereed original research article in a scientific journal) - Development and evaluation of a machine learning-based in-hospital COVID-19 disease outcome predictor (CODOP): A multicontinental retrospective study (2022)
- eLife
(A1 Refereed original research article in a scientific journal)
UTU Research Portal