Riku Klén

Validation of Automated PET Segmentation Methods Based on Connected Components for Myocardium (2021)

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

Siekkinen Reetta, Lehtonen Eero, Teuho Jarmo, Jafari Tadi Mojtaba, Koskinen Juho, Klén Riku

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

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))

Learning to Denoise Gated Cardiac PET Images Using Convolutional Neural Networks (2021)

IEEE Access

Rives Gambin Joaquin, Jafari Tadi Mojtaba, Teuho Jarmo, Klén Riku, Knuuti Juhani, Koskinen Juho, Saraste Antti, Lehtonen Eero

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

Conformally Invariant Metrics and Quasiconformal Mappings (2020)

Parisa Hariri, Riku Klén, Matti Vuorinen

(Vertaisarvioitu tieteellinen erillisteos tai raportti (C1))

Easy-to-use tool for evaluating the elevated acute kidney injury risk against reduced cardiovascular disease risk during intensive blood pressure control (2020)

Journal of Hypertension

Venäläinen Mikko S, Klén Riku, Mahmoudian Mehrad, Raitakari Olli T, Elo Laura L

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

Magnetic Resonance-Based Attenuation Correction and Scatter Correction in Neurological Positron Emission Tomography/Magnetic Resonance Imaging—Current Status With Emerging Applications (2020)

Frontiers in Physics

Teuho J, Torrado-Carvajal A, Herzog H, Anazodo U, Klén R, Iida H, Teräs M

(Vertaisarvioitu katsausartikkeli tieteellisessä aikakauslehdessä (A2))

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Validation of Automated PET Segmentation Methods Based on Connected Components for Myocardium (2021)

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)

Learning to Denoise Gated Cardiac PET Images Using Convolutional Neural Networks (2021)

Conformally Invariant Metrics and Quasiconformal Mappings (2020)

Easy-to-use tool for evaluating the elevated acute kidney injury risk against reduced cardiovascular disease risk during intensive blood pressure control (2020)

Magnetic Resonance-Based Attenuation Correction and Scatter Correction in Neurological Positron Emission Tomography/Magnetic Resonance Imaging—Current Status With Emerging Applications (2020)