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
- Riskilaskurimallit tyypillisimmille lyhyen aikavälin komplikaatioille sekä kuolemalle ensivaiheen lonkan kokotekonivelleikkauksen jälkeen perustuen Suomen Endoproteesirekisterin tietokantaan (2021)
- Suomen ortopedia ja traumatologia
(D1 Article in a professional journal) - Secretin activates brown fat and induces satiation (2021)
- Nature Metabolism
(A1 Refereed original research article in a scientific journal) - Stable Iterative Variable Selection (2021)
- Bioinformatics
(A1 Refereed original research article in a scientific journal) - Validation of Automated PET Segmentation Methods Based on Connected Components for Myocardium (2021)
- IEEE Nuclear Science Symposium and Medical Imaging Conference record
(A4 Refereed article in a conference publication ) - Assessment of MRI-Based Attenuation Correction for MRI-Only Radiotherapy Treatment Planning of the Brain (2020)
- Diagnostics
(A1 Refereed original research article in a scientific journal) - Conformally Invariant Metrics and Quasiconformal Mappings (2020) Parisa Hariri, Riku Klén, Matti Vuorinen
(C1 Refereed scientific book) - Easy-to-use tool for evaluating the elevated acute kidney injury risk against reduced cardiovascular disease risk during intensive blood pressure control (2020)
- Journal of Hypertension
(A1 Refereed original research article in a scientific journal) - Estimation of optimal number of gates in dual gated F-18-FDG cardiac PET (2020)
- Scientific Reports
(A1 Refereed original research article in a scientific journal) - Evaluation of image quality with four positron emitters and three preclinical PET/CT systems (2020)
- EJNMMI Research
(A1 Refereed original research article in a scientific journal) - Likelihood contrasts: a machine learning algorithm for binary classification of longitudinal data (2020)
- Scientific Reports
(A1 Refereed original research article in a scientific journal)



