Riku Klén

Methods for estimating full width at half maximum (2025)

Signal, Image and Video Processing

Rainio, Oona; Hällilä, Johanna; Teuho, Jarmo; Klén, Riku

(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )

Compartmental modeling for blood flow quantification from dynamic 15O-water PET images of humans: a systematic review (2025)

Annals of Nuclear Medicine

Rainio, Oona; Klen, Riku

(A2 Vertaisarvioitu katsausartikkeli tieteellisessä lehdessä)

Incremental prognostic value of downstream positron emission tomography perfusion imaging after coronary computed tomography angiography: a study using machine learning (2024)

EHJ Cardiovascular Imaging / European Heart Journal - Cardiovascular Imaging

Lehtonen, Eero; Kujala, Iida; Tamminen, Jonne; Maaniitty, Teemu; Saraste, Antti; Teuho, Jarmo; Knuuti, Juhani; Klen, Riku

(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )

AI for the prediction of early stages of Alzheimer's disease from neuroimaging biomarkers : A narrative review of a growing field (2024)

Neurological Sciences

Rudroff, Thorsten; Rainio, Oona; Klén, Riku

(A2 Vertaisarvioitu katsausartikkeli tieteellisessä lehdessä)

The Untapped Potential of Dimension Reduction in Neuroimaging: Artificial Intelligence-Driven Multimodal Analysis of Long COVID Fatigue (2024)

Brain Sciences

Rudroff, Thorsten; Klén, Riku; Rainio, Oona; Tuulari, Jetro

(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )

Evaluation metrics and statistical tests for machine learning (2024)

Scientific Reports

Rainio Oona, Teuho Jarmo, Klén Riku

(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )

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

Rainio, Oona; Liedes, Joonas; Murtojärvi, Sarita; Malaspina, Simona; Kemppainen, Jukka; Klén, Riku

(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )

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

Teuho, Jarmo; Schultz, Jussi; Klén, Riku; Juarez-Orozco, Luis Eduardo; Knuuti, Juhani; Saraste, Antti; Ono, Naoaki; Kanaya, Shigehiko

(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )

Analysis of sleep apnea research with a special focus on the use of positron emission tomography as a study tool (2024)

Sleep Medicine Reviews

Li, Anting; Jaakkola, Maria; Saaresranta, Tarja; Klén, Riku; Li, Xiang-Guo

(A2 Vertaisarvioitu katsausartikkeli tieteellisessä lehdessä)

Exploring Generative Adversarial Network-Based Augmentation of Magnetic Resonance Brain Tumor Images (2024)

Applied Sciences

Mahnoor, Mahnoor; Rainio, Oona; Klén, Riku

(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )

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Methods for estimating full width at half maximum (2025)

Compartmental modeling for blood flow quantification from dynamic 15O-water PET images of humans: a systematic review (2025)

Incremental prognostic value of downstream positron emission tomography perfusion imaging after coronary computed tomography angiography: a study using machine learning (2024)

AI for the prediction of early stages of Alzheimer's disease from neuroimaging biomarkers : A narrative review of a growing field (2024)

The Untapped Potential of Dimension Reduction in Neuroimaging: Artificial Intelligence-Driven Multimodal Analysis of Long COVID Fatigue (2024)

Evaluation metrics and statistical tests for machine learning (2024)

One-click annotation to improve segmentation by a convolutional neural network for PET images of head and neck cancer patients (2024)

Explainable deep-learning-based ischemia detection using hybrid O-15 H2O perfusion positron emission tomography and computed tomography imaging with clinical data (2024)

Analysis of sleep apnea research with a special focus on the use of positron emission tomography as a study tool (2024)

Exploring Generative Adversarial Network-Based Augmentation of Magnetic Resonance Brain Tumor Images (2024)