Riku Klén
PhD
riku.klen@utu.fi +358 0 231 3048 Kiinamyllynkatu 4-8 Turku |
Medical imaging, imaging instrumentation, machine learning, longitudinal analysis, geometric function theory, hyperbolic type geometries, quasiconformal mappings
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- Leveraging Artificial Intelligence to Optimize Transcranial Direct Current Stimulation for Long COVID Management: A Forward-Looking Perspective (2024)
- Brain Sciences
- Neuroplasticity Meets Artificial Intelligence: A Hippocampus-Inspired Approach to the Stability–Plasticity Dilemma (2024)
- Brain Sciences
- One-click annotation to improve segmentation by a convolutional neural network for PET images of head and neck cancer patients (2024)
- Network Modeling Analysis in Health Informatics and Bioinformatics
- The Untapped Potential of Dimension Reduction in Neuroimaging: Artificial Intelligence-Driven Multimodal Analysis of Long COVID Fatigue (2024)
- Brain Sciences
- Automatic Segmentation of Head and Neck Cancer from PET-MRI Data Using Deep Learning (2023)
- Journal of Medical and Biological Engineering
- Carimas: An Extensive Medical Imaging Data Processing Tool for Research (2023)
- Journal of Digital Imaging
- Classification of head and neck cancer from PET images using convolutional neural networks (2023)
- Scientific Reports
- COVID-19 VACCINE PROTECTION AGAINST MORTALITY IN PATIENTS WITH OXYGEN: A MULTICONTINENTAL STUDY (2023)
- Critical Care Medicine
- COVID-19 vaccines reduce mortality in hospitalized patients with oxygen requirements: Differences between vaccine subtypes A multicontinental cohort study (2023)
- Journal of Medical Virology
- Development and validation of COEWS (COVID-19 Early Warning Score) for hospitalized COVID-19 with laboratory features: A multicontinental retrospective study (2023)
- eLife
- Hybridizing machine learning in survival analysis of cardiac PET/CT imaging (2023)
- Journal of Nuclear Cardiology
- Image augmentation with conformal mappings for a convolutional neural network (2023)
- Computational and Applied Mathematics
- Incremental prognostic value of downstream PET perfusion imaging after coronary CT angiography (2023)
- EHJ Cardiovascular Imaging / European Heart Journal - Cardiovascular Imaging
- 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
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