Publications

2022

  • J. Teuho, J. Schultz, R. Klén, J. Knuuti, A. Saraste, N. Ono, S. Kanaya: Novel Classification of ischemia from myocardial polar maps in 15O–H2O cardiac perfusion imaging using a convolutional neural network. Sci. Rep. 12 (2022), Article number: 2839. doi: https://doi.org/10.1038/s41598-022-06604-x
  • L.E. Juarez-Orozcoa, R. Klén, M. Niemi, B. Ruijsink, G. Daquarti, R. van Es, J.-W. Benjamins, M. Yeung, P. van der Harst, J. Knuuti: Artificial Intelligence to Improve Risk Prediction with Nuclear Cardiac Studies. Curr. Cardiol. Rep. (2022). doi: https://doi.org/10.1007/s11886-022-01649-w
  • J. Lindén, J. Teuho, M. Teräs, R. Klén: Evaluation of three methods for delineation and attenuation estimation of the sinus region in MR-based attenuation correction for brain PET-MR imaging. BMC Medical Imaging volume 22, Article number: 48 (2022). https://doi.org/10.1186/s12880-022-00770-0
  • A. Subasi, S.S. Panigrahi, B.S. Patil, M.A. Canbaz, R. Klén: Chapter 8 – Advanced pattern recognition tools for disease diagnosis. Chapter in book In 5G IoT and Edge Computing for Smart Healthcare, Intelligent Data-Centric Systems, Academic Press, 2022, Pages 195-229, ISBN 9780323905480. https://doi.org/10.1016/B978-0-323-90548-0.00011-5
  • J. Lindén, J. Teuho, R. Klén, M. Teräs: Are quantitative errors reduced with time-of-flight reconstruction when using imperfect MR-based attenuation maps for 18F-FDG PET/MR neuroimaging?. Appl. Sci. 2022, 12(9), 4605. doi: https://doi.org/10.3390/app12094605
  • R. Klén, D. Purohit, R. Gómez-Huelgas, J.M. Casas-Rojo, J.M.A. Santos, J.M. Núñez-Cortés, C. Lumbreras, J.M. Ramos-Rincón, P. Young, J.I. Ramírez, E.E.T. Omonte, R.G. Artega, M.T.C. Beltrán, P. Valdez, F. Pugliese, R. Castagna, N. Funke, B. Leiding, D. Gómez-Varela: Development and evaluation of a machine learning-based in-hospital COvid-19 Disease Outcome Predictor (CODOP): a multicontinental retrospective study. eLife 2022, 11:e75985

 

2021

  • S. Laurila, E. Rebelos, M. Lahesmaa, L. Sun, K. Schnabl, T.-M. Peltomaa, R. Klén, M. U-Din, M.-J. Honka, O. Eskola, A.K. Kirjavainen, L. Nummenmaa, M. Klingenspor, K.A. Virtanen, P. Nuutila: Novel Effects of the Gastrointestinal Hormone Secretin on Cardiac Metabolism and Renal Function. Am. J. Physiol. Endocrinol. Metab. Online ahead of print. doi: 10.1152/ajpendo.00260.2021
  • M. Venäläinen, V. Panula, R. Klén, J. Haapakoski, A. Eskelinen, M. Manninen, J. Kettunen, A.-P. Puhto, A. Vasara, K. Mäkelä, L. Elo: Riskilaskurimallit tyypillisimmille lyhyen aikavälin komplikaatioille sekä kuolemalle ensivaiheen lonkan kokotekonivelleikkauksen jälkeen perustuen Suomen Endoproteesirekisterin tietokantaan. Suomen ortopedia ja traumatologia (2021)
  • J. Rives Gambin, M.J. Tadi, J. Teuho, R. Klén, J. Knuuti, J. Koskinen, A. Saraste, E. Lehtonen: Learning to Denoise Gated Cardiac PET Images Using Convolutional Neural Networks. IEEE Access (2021). doi: 10.1109/ACCESS.2021.3122194
  • V.J. Panula, E.M. Ekman, M.S. Venäläinen, I. Laaksonen, R. Klén, J.J. Haapakoski, A.P. Eskelinen, L.L. Elo, K.T. Mäkelä: Posterior approach, fracture diagnosis and ASA class III-IV are associated with increased risk of revision for dislocation after total hip arthroplasty: An analysis of 33,337 operations from the Finnish Arthroplasty Register. Scand. J. Surg. 110 (2021), 351-358. doi: 10.1177/1457496920930617
  • J. Schultz, R. Siekkinen, M.J. Tadi, M. Teräs, R. Klén, E. Lehtonen, A. Saraste, J. Teuho: Effect of respiratory motion correction and CT-based attenuation correction on dual-gated cardiac PET image quality and quantification. Published online 3rd September 2021 in J. Nucl. Cardiol. doi: 10.1007/s12350-021-02769-6
  • M. Mahmoudian, M.S. Venäläinen, R. Klén, L.L. Elo: Stable Iterative Variable Selection. Bioinformatics 2021, btab501.
  • S. Laurila, L. Sun, M. Lahesmaa, K. Schnabl, K. Laitinen, R. Klén, Y. Li, M. Balaz, C. Wolfrum, K. Steiger, T. Niemi, M. Taittonen, M. U-Din, T. Välikangas, L.L. Elo, O. Eskola, A.K. Kirjavainen, L. Nummenmaa, K.A. Virtanen, M. Klingenspor, P. Nuutila: Secretin Activates Brown Fat and Induces Satiation. Nat. Metab. 3 (2021), 798-809.
  • R. Siekkinen, A.K. Kirjavainen, K. Koskensalo, N.A.S. Smith, A. Fenwick, V. Saunavaara, T. Tolvanen, H. Iida, A. Saraste, M. Teräs, J. Teuho: Assessment of a digital and an analog PET/CT system for accurate myocardial perfusion imaging with a flow phantom. J Nucl Cardiol, online 2021 May 4, doi: 10.1007/s12350-021-02631-9
  • E. Lehtonen, J. Teuho, J. Koskinen, M.J. Tadi, R. Klén, R. Siekkinen, J. Rives Gambin, T. Vasankari, A. Saraste: A Respiratory Motion Estimation Method Based on Inertial Measurement Units for Gated Positron Emission Tomography. Sensors 2021, 21, 3983.
  • J.W. Benjamins, M.W. Yeung, T. Maaniitty, A. Saraste, R. Klén, P. van der Harst, J. Knuuti, L. Eduardo Juarez-Orozco: Improving patient identification for advanced cardiac imaging through machine learning-integration of clinical and coronary CT angiography data. Int. J. Cardiol. 335 (2021), 130-136.
  • S. Sieberts, J. Schaff, M. Duda, B. Pataki, M. Sun, P. Snyder, J.-F. Daneault, F. Parisi, G. Costante, U. Rubin, P. Banda, Y. Chae, E. Neto, E. Dorsey, Z. Aydin, A. Chen, L. Elo, C. Espino, E. Glaab, E. Goan, F. Golabchi, Y. Görmez, M. Jaakkola, J. Jonnagaddala, R. Klén, D. Li, C. McDaniel, D. Perrin, N. Rad, T. Perumal, E. Rainaldi, S. Sapienza, P. Schwab, N. Shokhirev, M. Venäläinen, G. Vergara-Diaz, Y. Zhang, Y. Wang, The Parkinson’s Disease Digital Biomarker Challenge Consortium, Y. Guan, D. Brunner, P. Bonato, L. Mangravite, L. Omberg: Crowdsourcing digital health measures to predict Parkinson’s disease severity: the Parkinson’s Disease Digital Biomarker DREAM Challenge. NPJ Digit. Med. 4, Article number: 53 (2021).
  • M. Venäläinen, S. Mikko, V. Panula, R. Klén, J. Haapakoski, A.P. Eskelinen, M.J. Manninen, J. Kettunen, A.-P. Puhto, A. Vasara, K. Mäkelä, L.L. Elo, Laura: Preoperative Risk Prediction Models for Short-Term Revision and Death After Total Hip Arthroplasty. JBJS Open Access: January-March 2021 – Volume 6 – Issue 1 – p e20.00091 doi: 10.2106/JBJS.OA.20.00091
  • E. Harmaala, R. Klén: Ptolemy constant and uniformity. Publ. Math. Debrecen 98/1-2 (2021), 15-42.

 

2020

  • R. Siekkinen, J. Teuho, N.A.S. Smith, A. Fenwick, A.K. Kirjavainen, K. Koskensalo, et al. Study of the Effect of Reconstruction Parameters for Myocardial Perfusion Imaging in PET With a Novel Flow Phantom. Front Phys. 2020;8.
  • X .Xiao Liang, J. Jing Li, E. Antonecchia, Y. Ling, Z. Li, W. Xiao, Q. Chu, L. Wan, X. Hu, S. Han, J. Teuho, et al. NEMA-2008 and In-Vivo animal and plant imaging Performance of the large FOV preclinical digital PET/CT system Discoverist 180. IEEE Transactions on Radiation and Plasma Medical Sciences. 2020 Sep;4(5):622–9
  • M. Husso, I.O. Afara, M.J. Nissi, A. Kuivanen, P. Halonen, M. Tarkia, J. Teuho, et al. Quantification of Myocardial Blood Flow by Machine Learning Analysis of Modified Dual Bolus MRI Examination. Ann Biomed Eng. 2020 Aug 20;1–10.
  • P. Dadson, E. Rebelos, H. Honka, L.E. Juárez-Orozco, K.K. Kalliokoski, P. Iozzo, J. Teuho, et al. Change in abdominal, but not femoral subcutaneous fat CT-radiodensity is associated with improved metabolic profile after bariatric surgery. Nutrition, Metabolism and Cardiovascular Diseases. 2020 Nov 27;30(12):2363–71.
  • P. Movahedi, H. Merisaari, I.M. Perez, P. Taimen, J. Kemppainen, A. Kuisma, O. Eskola, J. Teuho, et al. Prediction of prostate cancer aggressiveness using 18 F-Fluciclovine (FACBC) PET and multisequence multiparametric MRI. Scientific Reports. 2020 Jun 10;10(1):9407.
  • J. Päivärinta, K. Metsärinne, E. Löyttyniemi, J. Teuho, T. Tolvanen, J. Knuuti, et al. Myocardial perfusion reserve of kidney transplant patients is well preserved. EJNMMI Research. 2020 Feb 10;10(1):9.
  • J. Teuho, L. Riehakainen, A. Honkaniemi, O. Moisio, C. Han, M. Tirri, S. Liu, T.J. Grönroos, J. Liu, L. Wan, X. Liang, Y. Ling, Y. Hua, A. Roivainen, J. Knuuti, Q. Xie, M. Teräs, N. D’Ascenzo, R. Klén: Evaluation of Image Quality with Four Positron Emitters and Three Preclinical PET/CT Systems. EJNMMI Research volume 10, Article number: 155 (2020).
  • R. Klén, J. Teuho, T. Noponen, K. Thielemnas, E. Hoppela, E. Lehtonen, H.T. Sipila, M. Teräs, J. Knuuti: Estimation of Optimal Number of Gates in Dual Gated 18F-FDG Cardiac PET. Sci. Rep. 10 (2020), Article number: 19362.
  • V.J. Panula, E.M. Ekman, M.S. Venäläinen, I. Laaksonen, R. Klén, J.J. Haapakoski, A.P. Eskelinen, L.L. Elo, K.T. Mäkelä: Posterior approach, fracture diagnosis and ASA class III-IV are associated with increased risk of revision for dislocation after total hip arthroplasty: An analysis of 33,337 operations from the Finnish Arthroplasty Register. Scand. J. Surg., published June 5, 2020.
  • I. Ranta, J. Teuho, J. Linden, R. Klén, M. Teräs, M. Kapanen, J. Keyriläinen: Assessment of MRI-Based Attenuation Correction for MRI-Only Radiotherapy Treatment Planning of the Brain. Diagnostics 10 (2020), 299.
  • P. Hariri, R. Klén, M. Vuorinen: Conformally Invariant Metrics and Quasiconformal Mappings, Springer Monographs in Mathematics. Springer, 2020. xix+502 pages, ISBN 978-3-030-32068-3; 978-3-030-32067-6.
  • R. Klén, M.-J. Honka, J.C. Hannukainen, V. Huovinen, M. Bucci, A. Latva-Rasku, M.S. Venäläinen, K.K. Kalliokoski, K.A. Virtanen, R. Lautamäki, P. Iozzo, L.L. Elo, P. Nuutila: Predicting skeletal muscle and whole-body insulin sensitivity using NMR-metabolomic profiling. J. Endocr. Soc. (2020), bvaa026.
  • M.S. Venäläinen, R. Klén, M. Mahmoudian, O.T. Raitakari, L.L. Elo: Easy-to-use tool for evaluating the elevated acute kidney injury risk against reduced cardiovascular disease risk during intensive blood pressure control. J. Hypertens. 38 (2020), 511-518.
  • R. Klén, M. Karhunen, L.L. Elo, Laura: Likelihood contrasts: a machine learning algorithm for binary classification of longitudinal data. Sci. Rep. 10 (2020), Article number: 1016.
  • J. Teuho, A. Torrado-Carvaja, H. Herzog, U. Anazodo, R. Klén, H. Iida, M. Teräs: Magnetic Resonance-Based Attenuation Correction and Scatter Correction in Neurological Positron Emission Tomography/Magnetic Resonance Imaging-Current Status With Emerging Applications.. Front. Phys. 7 (2020).