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
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- Analysis of sleep apnea research with a special focus on the use of positron emission tomography as a study tool (2024)
- Sleep Medicine Reviews
- Comparison of simple augmentation transformations for a convolutional neural network classifying medical images (2024)
- Signal, Image and Video Processing
- Comparison of thresholds for a convolutional neural network classifying medical images (2024)
- International journal of data science and analytics
- Deep generative denoising networks enhance quality and accuracy of gated cardiac PET data (2024)
- Annals of Nuclear Medicine
- Evaluation metrics and statistical tests for machine learning (2024)
- Scientific Reports
- Explainable deep-learning-based ischemia detection using hybrid O-15 H2O perfusion positron emission tomography and computed tomography imaging with clinical data (2024)
- Journal of Nuclear Cardiology
- Exploring Generative Adversarial Network-Based Augmentation of Magnetic Resonance Brain Tumor Images (2024)
- Applied Sciences
- 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
UTU Research Portal