Teemu Sahlström
Postdoctoral Researcher
Department of Technical Physics, Faculty of Science, Forestry and Technology
Research of Teemu Sahlström focuses on medical and biomedical tomographic imaging techniques utilising coupled physics. In his research, he develops numerical methods for modelling and inverse problem of thermoacoustic and photoacoustic tomography utilising Bayesian framework for inverse problems, numerical modelling of physics, and deep learning.
Research groups
Research interests
- Computational inverse problems
- Coupled physics imaging
- Computational physics
- Electromagnetic and ultrasound modelling
- Deep learning
Publications
12/12 items-
Simultaneous estimation of electrical conductivity and permittivity in quantitative thermoacoustic tomography
Sahlström, Teemu; Lähivaara, Timo; Tarvainen, Tanja, 2025, Inverse problems, 41, 3, 035015. A1 Journal article (refereed), original research -
Utilizing uncertainty quantification variational autoencoders in inverse problems with applications in photoacoustic tomography
Goh, Hwan; Sahlström, Teemu; Tarvainen, Tanja, 2024, Bubba, Tatiana A, Data-driven Models in Inverse Problems, 413-436. A3 Book section, Chapters in research books -
Assembly of fluorophore J-aggregates with nanospacer onto mesoporous nanoparticles for enhanced photoacoustic imaging
Xu, Wujun; Leskinen, Jarkko; Sahlström, Teemu; Happonen, Emilia; Tarvainen, Tanja; Lehto, Vesa-Pekka, 2023, Photoacoustics, 33, 100552. A1 Journal article (refereed), original research -
Computational methods for modelling and inverse problem of photoacoustic tomography
Sahlström, Teemu, 2023, Publications of the University of Eastern Finland. Dissertations in Science, Forestry and Technology. G5 Doctoral dissertation (article) -
Deep learning in photoacoustic tomography utilizing variational autoencoders
Sahlström, Teemu; Tarvainen, Tanja, 2023, Kim, Chulhong; Laufer, Jan; Ntziachristos, Vasilis: Zemp, Roger J, Opto-Acoustic Methods and Applications in Biophotonics VI. A4 Conference proceedings -
Utilizing Variational Autoencoders in the Bayesian Inverse Problem of Photoacoustic Tomography
Sahlström, Teemu; Tarvainen, Tanja, 2023, Siam journal on imaging sciences, 16, 1, 89-110. A1 Journal article (refereed), original research -
Utilizing variational autoencoders in photoacoustic tomography
Sahlström, Teemu; Tarvainen, Tanja, 2023, Oraevsky, Alexander; Wang, Lihong, Photons Plus Ultrasound: Imaging and Sensing 2023. A4 Conference proceedings -
Computationally Efficient Forward Operator for Photoacoustic Tomography Based on Coordinate Transformations
Sahlstrom, Teemu; Pulkkinen, Aki; Leskinen, Jarkko; Tarvainen, Tanja, 2021, IEEE transactions on ultrasonics ferroelectrics and frequency control, 68, 6, 2172-2182. A1 Journal article (refereed), original research -
Computationally efficient forward model for photoacoustic tomography
Sahlstrom, Teemu; Pulkkinen, Aki; Leskinen, Jarkko; Tarvainen, Tanja, 2021, Kim, Chuolhong; Laufer, Jan; Zemp, Roger J, Proc. SPIE, Opto-Acoustic Methods and Applications in Biophotonics V, 1192308. A4 Conference proceedings -
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