Riku Klén

Development and evaluation of a machine learning-based in-hospital COVID-19 disease outcome predictor (CODOP): A multicontinental retrospective study (2022)

eLife

Klen Riku, Purohit Disha, Gomez-Huelgas Ricardo, Casas-Rojo Jose Manuel, Anton-Santos Juan Miguel, Nunez-Cortes Jesus Millan, Lumbreras Carlos, Ramos-Rincon Jose Manuel, Garcia Barrio Noelia, Pedrera-Jimenez Miguel, Lalueza Blanco Antonio, Martin-Escalante Maria Dolores, Rivas-Ruiz Francisco, Onieva-Garcia Maria angeles, Young Pablo, Ramirez Juan Ignacio, Titto Omonte Estela Edith, Gross Artega Rosmery, Canales Beltran Magdy Teresa, Valdez Pascual Ruben, Pugliese Florencia, Castagna Rosa, Huespe Ivan A., Boietti Bruno, Pollan Javier A., Funke Nico, Leiding Benjamin, Gomez-Varela David

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

Classification of ischemia from myocardial polar maps in 15 O-H 2 O cardiac perfusion imaging using a convolutional neural network (2022)

Scientific Reports

Teuho Jarmo, Schultz Jussi, Klén Riku, Knuuti Juhani, Saraste Antti, Ono Naoaki, Kanaya Shigehiko

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

Artificial Intelligence to Improve Risk Prediction with Nuclear Cardiac Studies (2022)

Current Cardiology Reports

Juarez-Orozco Luis Eduardo, Klén Riku, Niemi Mikael, Ruijsink Bram, Daquarti Gustavo, van Es Rene, Benjamins Jan-Walter, Yeung Ming Wai, van der Harst Pim, Knuuti Juhani

(A2 Vertaisarvioitu katsausartikkeli tieteellisessä lehdessä)

Classification of ischemia from myocardial polar maps in 15 O-H 2 O cardiac perfusion imaging using a convolutional neural network (2022)

Scientific Reports

Teuho Jarmo, Schultz Jussi, Klén Riku, Knuuti Juhani, Saraste Antti, Ono Naoaki, Kanaya Shigehiko

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

Novel Classification of ischemia from myocardial polar maps in 15O–H2O cardiac perfusion imaging using a convolutional neural network (2022)

Scientific Reports

Teuho Jarmo, Schultz Jussi, Klén Riku, Knuuti Juhani, Saraste Antti, Ono Naoaki, Kanaya Shigehiko

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

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

Lindén Jani, Teuho Jarmo, Klén Riku, Teräs Mika

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

Effect of respiratory motion correction and CT-based attenuation correction on dual-gated cardiac PET image quality and quantification (2022)

Journal of Nuclear Cardiology

Schultz Jussi, Siekkinen Reetta, Jafari Tadi Mojtaba, Teräs Mika, Klén Riku, Lehtonen Eero, Saraste Antti, Teuho Jarmo

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

Evaluation of three methods for delineation and attenuation estimation of the sinus region in MR-based attenuation correction for brain PET-MR imaging (2022)

BMC Medical Imaging

Lindén Jani, Teuho Jarmo, Teräs Mika, Klén Riku

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

Comparison of 12 Machine Learning Methods for Polar Map Classification in Cardiac Perfusion PET (2021)

IEEE Nuclear Science Symposium and Medical Imaging Conference, IEEE Nuclear Science Symposium and Medical Imaging Conference record

Teuho Jarmo, Schultz Jussi, Klén Riku, Saraste Antti, Ono Naoaki, Kanaya Shigehiko

(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)

Novel Effects of the Gastrointestinal Hormone Secretin on Cardiac Metabolism and Renal Function (2021)

AJP - Endocrinology and Metabolism

Laurila Sanna, Rebelos Eleni, Lahesmaa Minna, Sun Lihua, Schnabi Katharina, Peltomaa Tia-Mari, Klén Riku, U-Din Mueez, Honka Miikka-Juhani, Eskola Olli, Kirjavainen Anna K., Nummenmaa Lauri, Klingenspor Martin, Virtanen Kirsi A., Nuutila Pirjo

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

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Development and evaluation of a machine learning-based in-hospital COVID-19 disease outcome predictor (CODOP): A multicontinental retrospective study (2022)

Classification of ischemia from myocardial polar maps in 15 O-H 2 O cardiac perfusion imaging using a convolutional neural network (2022)

Artificial Intelligence to Improve Risk Prediction with Nuclear Cardiac Studies (2022)

Classification of ischemia from myocardial polar maps in 15 O-H 2 O cardiac perfusion imaging using a convolutional neural network (2022)

Novel Classification of ischemia from myocardial polar maps in 15O–H2O cardiac perfusion imaging using a convolutional neural network (2022)

Are Quantitative Errors Reduced with Time-of-Flight Reconstruction When Using Imperfect MR-Based Attenuation Maps for F-18-FDG PET/MR Neuroimaging? (2022)

Effect of respiratory motion correction and CT-based attenuation correction on dual-gated cardiac PET image quality and quantification (2022)

Evaluation of three methods for delineation and attenuation estimation of the sinus region in MR-based attenuation correction for brain PET-MR imaging (2022)

Comparison of 12 Machine Learning Methods for Polar Map Classification in Cardiac Perfusion PET (2021)

Novel Effects of the Gastrointestinal Hormone Secretin on Cardiac Metabolism and Renal Function (2021)