Eero Lehtonen
D.Sc.(Tech.)
eero.lennart.lehtonen@utu.fi +358 50 577 9597 Joukahaisenkatu 1 Turku ORCID identifier: https://orcid.org/0000-0002-7327-7938 |
Areas of expertise
Computer and machine vision; sensor fusion
Computer and machine vision; sensor fusion
Biography
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.
Research
Computer vision and sensor fusion for improving biomedical diagnostics and medical imaging.
Publications
- Incremental prognostic value of downstream PET perfusion imaging after coronary CT angiography (2023)
- EHJ Cardiovascular Imaging / European Heart Journal - Cardiovascular Imaging
(Refereed journal article or data article (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
(Refereed journal article or data article (A1)) - Synthetization, Distortion, and Geometric Correction of Isoelectric Focusing Gels for Newborn Screening (2022)
- IEEE Access
(Refereed journal article or data article (A1)) - A Respiratory Motion Estimation Method Based on Inertial Measurement Units for Gated Positron Emission Tomography (2021)
- Sensors
(Refereed journal article or data article (A1)) - Learning to Denoise Gated Cardiac PET Images Using Convolutional Neural Networks (2021)
- IEEE Access
(Refereed journal article or data article (A1)) - Validation of Automated PET Segmentation Methods Based on Connected Components for Myocardium (2021)
- IEEE Nuclear Science Symposium and Medical Imaging Conference record
(Refereed article in conference proceedings (A4)) - Estimation of optimal number of gates in dual gated F-18-FDG cardiac PET (2020)
- Scientific Reports
(Refereed journal article or data article (A1)) - A Computational Framework for Data Fusion in MEMS-Based Cardiac and Respiratory Gating (2019)
- Sensors
(Refereed journal article or data article (A1)) - Comprehensive Analysis of Cardiogenic Vibrations for Automated Detection of Atrial Fibrillation Using Smartphone Mechanocardiograms (2019)
- IEEE Sensors Journal
(Refereed journal article or data article (A1)) - Memristive stateful logic (2019) Handbook of Memristor Networks Eero Lehtonen, Jussi H. Poikonen, Mika Laiho
(Refereed article in compilation book (A3)) - Complexity Analysis of Iterative Basis Transformations Applied to Event-Based Signals (2018)
- Frontiers in Neuroscience
(Refereed journal article or data article (A1)) - A miniaturized low power biomedical sensor node for clinical research and long term monitoring of cardiovascular signals (2017) 2017 IEEE International Symposium on Circuits and Systems (ISCAS) Jarno Tuominen, Eero Lehtonen, Mojtaba Jafari Tadi, Juho Koskinen, Mikko Pänkäälä, Tero Koivisto
(Refereed article in conference proceedings (A4)) - A novel dual gating approach using joint inertial sensors: implications for cardiac PET imaging (2017)
- Physics in Medicine and Biology
(Refereed journal article or data article (A1)) - Associative search using pseudo-analog memristors (2017) 2017 IEEE International Symposium on Circuits and Systems (ISCAS) Laiho Mika, Grönroos Mika, Poikonen Jussi, Lehtonen Eero, Katsumura Reon, T.-Fukuchi Atsushi, Arita Masashi, Takahashi Yasuo
(Refereed article in conference proceedings (A4)) - Automated Detection of Atrial Fibrillation Based on Time-Frequency Analysis of Seismocardiograms (2017)
- IEEE Journal of Biomedical and Health Informatics
(Refereed journal article or data article (A1)) - Gyrocardiography: A New Non-invasive Monitoring Method for the Assessment of Cardiac Mechanics and the Estimation of Hemodynamic Variables (2017)
- Scientific Reports
(Refereed journal article or data article (A1)) - A Miniaturized MEMS Motion Processing System for Nuclear Medicine Imaging Applications (2016)
- Computing in Cardiology
(Refereed article in conference proceedings (A4)) - An Adaptive Approach for Heartbeat Detection Based on S-transform in Seismocardiograms (2016) 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) Mojtaba Jafari Tadi, Eero Lehtonen, Olli Lahdejoja, Mikko Pänkäälä, Tero Koivisto
(Refereed article in conference proceedings (A4)) - A Performance Case-Study on Memristive Computing-in-Memory versus Von Neumann Architecture (2016) Proceedings Data Compression Conference Koskinen L, Tissari J, Teittinen J, Lehtonen E, Laiho M, Poikonen JH
(Other (O2)) - A real-time approach for heart rate monitoring using a Hilbert transform in seismocardiograms (2016)
- Physiological Measurement
(Refereed journal article or data article (A1))