Riku Klén

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 )

Segmentation of Dynamic Total-Body [18F]-FDG PET Images Using Unsupervised Clustering (2023)

International Journal of Biomedical Imaging

Jaakkola Maria K., Rantala Maria, Jalo Anna, Saari Teemu, Hentilä Jaakko, Helin Jatta S., Nissinen Tuuli A., Eskola Olli, Rajander Johan, Virtanen Kirsi A., Hannukainen Jarna C., López-Picón Francisco, Klén Riku

(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )

COVID-19 vaccines reduce mortality in hospitalized patients with oxygen requirements: Differences between vaccine subtypes A multicontinental cohort study (2023)

Journal of Medical Virology

Huespe Ivan A., Ferraris Augusto, Lalueza Antonio, Valdez Pascual R., Peroni Maria L., Cayetti Luis A., Mirofsky Matias A., Boietti Bruno, Gómez-Huelgas Ricardo, Casas-Rojo José M., Antón-Santos Juan M., Núñez-Cortés Jesús M., Lumbreras Carlos, Ramos-Rincón Jose-Manuel, Barrio Noelia G., Pedrera-Jiménez Miguel, Martin-Escalante María D., Ruiz Francisco R., Onieva-García María Á., Toso Carlos R., Risk Marcelo R., Klén Riku, Pollán Javier A., Gómez-Varela David

(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )

New method of using a convolutional neural network for 2D intraprostatic tumor segmentation from PET images (2023)

Research on Biomedical Engineering

Rainio Oona, Lahti Jari, Anttinen Mikael, Ettala Otto, Seppänen Marko, Boström Peter, Kemppainen Jukka, Klén Riku

(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

Prognostic value of combined coronary CT angiography and myocardial perfusion imaging in women and men (2023)

EHJ Cardiovascular Imaging / European Heart Journal - Cardiovascular Imaging

Kujala Iida, Nammas Wail, Maaniitty Teemu, Stenström Iida, Klén Riku, Bax Jeroen J, Knuuti Juhani, Saraste Antti

(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )

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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)

Segmentation of Dynamic Total-Body [18F]-FDG PET Images Using Unsupervised Clustering (2023)

COVID-19 vaccines reduce mortality in hospitalized patients with oxygen requirements: Differences between vaccine subtypes A multicontinental cohort study (2023)

New method of using a convolutional neural network for 2D intraprostatic tumor segmentation from PET images (2023)

Prognostic value of combined coronary CT angiography and myocardial perfusion imaging in women and men (2023)