D.Sc.(Tech.) Eero Lehtonen - UTU Research Portal

Eero Lehtonen
D.Sc.(Tech.)

- Senior Researcher,
Turku PET Centre (Independent units)

eero.lennart.lehtonen@utu.fi

+358 50 577 9597

Joukahaisenkatu 1

Turku

Computer and machine vision; sensor fusion

Eero Lehtonen received the M.Sc. degree in mathematics and the D.Sc. (Tech.) degree in electronics from the University of Turku, in 2006 and 2013, respectively. He is currently working as a Senior Researcher with the Digital Health Technology Group, Department of Computing, University of Turku, Finland, where his research interests include computer vision and medical imaging. He has also worked in several companies as a machine vision specialist.

Computer vision and sensor fusion for improving biomedical diagnostics and medical imaging.

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Expanding interpretability through complexity reduction in machine learning‐based modelling of cardiovascular disease: A myocardial perfusion imaging PET/CT prognostic study (2025)
- European Journal of Clinical Investigation
Lehtonen, Eero; Teuho, Jarmo; Vatandoust, Monire; Knuuti, Juhani; Knol, Remco J. J.; van der Zant, Friso M.; Juarez-Orozco, Luis Eduardo; Klen, Riku
Deep generative denoising networks enhance quality and accuracy of gated cardiac PET data (2024)
- Annals of Nuclear Medicine
Jafaritadi, Mojtaba; Teuho, Jarmo; Lehtonen, Eero; Klén, Riku; Saraste, Antti; Levin, Craig S.
Incremental prognostic value of downstream PET perfusion imaging after coronary CT angiography (2023)
- EHJ Cardiovascular Imaging / European Heart Journal - Cardiovascular Imaging
Lehtonen Eero, Kujala Iida, Tamminen Jonne, Maaniitty Teemu, Saraste Antti, Teuho Jarmo, Knuuti Juhani, Klén Riku
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
Synthetization, Distortion, and Geometric Correction of Isoelectric Focusing Gels for Newborn Screening (2022)
- IEEE Access
Mäntyniemi Santeri, Lehtonen Eero, Koivu Aki
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
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
Validation of Automated PET Segmentation Methods Based on Connected Components for Myocardium (2021)
- IEEE Nuclear Science Symposium and Medical Imaging Conference record
2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) Siekkinen Reetta, Lehtonen Eero, Teuho Jarmo, Jafari Tadi Mojtaba, Koskinen Juho, Klén Riku
Estimation of optimal number of gates in dual gated F-18-FDG cardiac PET (2020)
- Scientific Reports
Klen R, Teuho J, Noponen T, Thielemans K, Hoppela E, Lehtonen E, Sipilä HT, Teräs M, Knuuti J
A Computational Framework for Data Fusion in MEMS-Based Cardiac and Respiratory Gating (2019)
- Sensors
Mojtaba Jafari Tadi, Eero Lehtonen, Jarmo Teuho, Juho Koskinen, Jussi Schultz, Reetta Siekkinen, Tero Koivisto, Mikko Pänkäälä, Mika Teräs, Riku Klén