Jenni Poimala
Postdoctoral Researcher
Department of Technical Physics, Faculty of Science, Forestry and Technology
Jenni Poimala investigates and develops computational methods for photoacoustic tomography. She is especially interested in uncertainties of photoacoustic imaging. In her research, she utilises, for example, Bayesian inversion approaches and machine learning.
Publications
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Digital twins enable full-reference quality assessment of photoacoustic image reconstructions
Gröhl, Janek; Kunyansky, Leonid; Poimala, Jenni; Else, Thomas R; Di Cecio, Francesca; Bohndiek, Sarah E; Cox, Ben T; Hauptmann, Andreas, 2025, Journal of the acoustical society of america, 158, 1, 590-601. A1 Journal article (refereed), original research -
Black Mesoporous Silicon as a Contrast Agent for LED-Based 3D Photoacoustic Tomography
Xu, Wu jun; Leskinen, Jarkko; Tick, Jenni; Happonen, Emilia; Tarvainen, Tanja; Lehto, Vesa-Pekka, 2020, Acs applied materials and interfaces, 12, 5, 5456-5461. A1 Journal article (refereed), original research -
Modeling of Errors due to Uncertainties in Ultrasound Sensor Locations in Photoacoustic Tomography
Sahlström, Teemu; Pulkkinen, Aki; Tick, Jenni; Leskinen, Jarkko; Tarvainen, Tanja, 2020, IEEE transactions on medical imaging, 39, 6, 2140-2150. A1 Journal article (refereed), original research -
Modelling of uncertainties in ultrasound sensor locations in photoacoustic tomography
Sahlström, Teemu; Pulkkinen, Aki; Tick, Jenni; Leskinen, Jarkko; Tarvainen, Tanja, 2020, Oraevsky, Alexander A; Wang, Lihong V, Photons Plus Ultrasound: Imaging and Sensing 2020, 1-11. A4 Conference proceedings -
Image reconstruction and modelling of uncertainties in photoacoustic tomography
Tick, Jenni, 2019, Publications of the University of Eastern Finland. Dissertations in Forestry and Natural Sciences. G5 Doctoral dissertation (article) -
Modelling of errors and uncertainties in photoacoustic tomography using a Bayesian framework
Tarvainen, Tanja; Sahlström, Teemu-Taneli; Tick, Jenni; Pulkkinen, Aki, 2019, -, Proceedings Imaging and Applied Optics 2019, MW4D.2. A4 Conference proceedings -
Modelling of errors due to speed of sound variations in photoacoustic tomography using a Bayesian framework
Tick, Jenni; Pulkkinen, Aki; Tarvainen, Tanja, 2019, Biomedical physics & engineering express, 6, 1, 15003. A1 Journal article (refereed), original research -
Photoacoustic tomography setup using LED illumination
Leskinen, Jarkko; Pulkkinen, Aki; Tick, Jenni; Tarvainen, Tanja, 2019, Ntziachristos, Vasilis; Zemp, Roger, Opto-Acoustic Methods and Applications in Biophotonics IV, 110770Q, 11077_25. B3 Non-refereed conference proceedings -
Photoacoustic image reconstruction in Bayesian framework
Tick, Jenni; Pulkkinen, Aki, Lucka, Felix; Ellwood, Robert; Cox, Ben T; Arridge, Simon R; Tarvainen, Tanja, 2018, Oraevsky, Alexander A; Wang, Lihong V, Photons Plus Ultrasound: Imaging and Sensing 2018, 1049450. A4 Conference proceedings -
Three dimensional photoacoustic tomography in Bayesian framework
Tick, Jenni; Pulkkinen, Aki; Lucka, Felix; Ellwood, Robert; Cox, Ben T; Kaipio, Jari P; Arridge, Simon R; Tarvainen, Tanja, 2018, Journal of the acoustical society of america, 144, 4, 2061. A1 Journal article (refereed), original research