Riku Klén

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))

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))

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

(Vertaisarvioitu katsausartikkeli tieteellisessä aikakauslehdessä (A2))

Stable Iterative Variable Selection (2021)

Bioinformatics

Mahmoudian Mehrad, Venäläinen Mikko S, Klén Riku, Elo Laura L

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

A Respiratory Motion Estimation Method Based on Inertial Measurement Units for Gated Positron Emission Tomography (2021)

Sensors

Lehtonen Eero, Teuho Jarmo, Koskinen Juho, Jafari Tadi Mojtaba, Klén Riku, Siekkinen Reetta, Gambin Joaquin R., Vasankari Tuija, Saraste Antti

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

Preoperative Risk Prediction Models for Short-Term Revision and Death After Total Hip Arthroplasty : Data from the Finnish Arthroplasty Register (2021)

JB & JS open access

Venäläinen Mikko S, Panula Valtteri J, Klén Riku, Haapakoski Jaason J, Eskelinen Antti P, Manninen Mikko J, Kettunen Jukka S, Puhto Ari-Pekka, Vasara Anna I, Mäkelä Keijo T, Elo Laura L.

(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

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

Crowdsourcing digital health measures to predict Parkinson's disease severity: the Parkinson's Disease Digital Biomarker DREAM Challenge (2021)

npj Digital Medicine

Sieberts SolveigK, Schaff Jennifer, Duda Marlena, Pataki Bálint Ármin, Sun Ming, Snyder Phil, Daneault Jean-Francois, Parisi Federico, Costante Gianluca, Rubin Udi, Banda Peter, Chae Yoree, Neto Elias Chaibub, Dorsey E Ray, Aydin Zafer, Chen Aipeng, Elo Laura L, Espino Carlos, Glaab Enrico, Goan Ethan, Golabchi Fatemeh Noushin, Görmez Yasin, Jaakkola Maria K, Jonnagaddala Jitendra, Klén Riku, Li Dongmei, McDaniel Christian, Perrin Dimitri, Perumal Thanneer M, Rad Nastaran Mohammadian, Rainaldi Erin, Sapienza Stefano, Schwab Patrick, Shokhirev Nikolai, Venäläinen Mikko S, Vergara-Diaz Gloria, Zhang Yuqian, Wang Yuanjian, Guan Yuanfang, Brunner Daniela, Bonato Paolo, Mangravite Lara M, Omberg Larsson; the Parkinson's Disease Digital Biomarker Challenge Consortium

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

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

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)

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)

Stable Iterative Variable Selection (2021)

A Respiratory Motion Estimation Method Based on Inertial Measurement Units for Gated Positron Emission Tomography (2021)

Preoperative Risk Prediction Models for Short-Term Revision and Death After Total Hip Arthroplasty : Data from the Finnish Arthroplasty Register (2021)

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

Crowdsourcing digital health measures to predict Parkinson's disease severity: the Parkinson's Disease Digital Biomarker DREAM Challenge (2021)