Eero
Lehtonen
Senior Researcher, Turku PET Centre
Turku PET Centre
D.Sc.(Tech.)
Links
Areas of expertise
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
Gyrocardiography: A new non-invasive approach in the study of mechanical motions of the heart. Concept, method and initial observations (2016)
38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))
Recursive Functions in High-Dimensional Computing with Random Vectors (2016)
2016 International Joint Conference on Neural Networks (IJCNN)
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))
MEMS Gating: A new dual gating technique for eliminating motion-related inaccuracies in PET imaging (2016)
Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop (NSS/MIC/RTSD)
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))
A Performance Case-Study on Memristive Computing-in-Memory versus Von Neumann Architecture (2016)
Data Compression Conference
(Muu (O2))
Detecting indications of acute myocardial infarction using smartphone only solution (2016)
Third European Congress on eCardiology & eHealth
(Muu (O2))
An Adaptive Approach for Heartbeat Detection Based on S-transform in Seismocardiograms (2016)
Annual International Conference of the IEEE Engineering in Medicine and Biology Society
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))
Hidden Markov Model Inference in an Associative Memory Architecture (2016)
2016 International Joint Conference on Neural Networks (IJCNN)
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))
FPAA/Memristor Hybrid Computing Infrastructure (2015)
IEEE Transactions on Circuits and Systems I: Regular Papers
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))
Implementation of nondeterministic finite automata in an autoassociative CAM circuit (2015)
IEEE International Symposium on Circuits and Systems
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))
A 512x512-Cell Associative CAM/Willshaw Memory with Vector Arithmetic (2015)
IEEE International Symposium on Circuits and Systems, IEEE International Symposium on Circuits and Systems. Proceedings
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))