Oula Puonti
Tel.
Position
Senior Researcher
Affiliations
DTU Health Tech
Research Interests
Bayesian modeling, segmentation, structural MRI
Research Groups
Neurophysics group
Ultra-High Field MR group
Methods Clinic
Research area "Imaging of Disease & Mechanisms"
Research area "Precision Brain Stimulation"
Curriculum Vitae
Education
2016
PhD in Computer Science, Technical University of Denmark
2012
MSc in Theoretical Physics, University of Helsinki
2011
BSc in Theoretical Physics, University of Helsinki
Employments
2026 - Present
Senior Researcher, DRCMR
2021 - Present
Affiliated Researcher, Laboratory for Computational Neuroimaging, Athinoula A. Martinos Center for Biomedical Imaging, Boston, MA
2018 - 2021
Research Fellow, DRCMR
2016 - 2018
Postdoc, DRCMR
2016 - 2016
Postdoc, Department of Health Technology, Technical University of Denmark
2012 - 2016
Postdoc, Department of Neurology, Technical University of Munich
2010 - 2012
PhD Student, Department of Applied Mathematics and Computer Science, Technical University of Denmark
2010 - 2012
Research Assistant, Department of Information and Computer Science, Aalto University, Espoo, Finland
2009 - 2009
Research Assistant, Department of Biomedical Engineering and Computational Science, Aalto University, Espoo
2009 - 2009
Research Assistant, Low Temperature Laboratory, Brain Research Unit, Aalto University, Espoo
Full CV
Publications
Andreasen, S. H., Andersen, K. W., Conde, V., Dyrby, T. B., Puonti, O. T., Kammersgaard, L. P., Madsen, C. G., Madsen, K. H., Poulsen, I. & Siebner, H. R. Limited co-localization of microbleeds and microstructural changes after severe traumatic brain injury. Journal of Neurotrauma. 2020.
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Agn, M., Munck Af Rosenschöld, P., Puonti, O., Lundemann, M. J., Mancini, L., Papadaki, A., Thust, S., Ashburner, J., Law, I. & Van Leemput, K. A modality-adaptive method for segmenting brain tumors and organs-at-risk in radiation therapy planning. Medical Image Analysis. 54, p. 220-237, 2019.
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Puonti, O., Saturnino, G. B., Madsen, K. H. & Thielscher, A. Value and limitations of intracranial recordings for validating electric field modeling for transcranial brain stimulation. NeuroImage. 208, p. 1-14, 116431. 2019.
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Saturnino, G. B., Puonti, O., Nielsen, J. D., Antonenko, D., Madsen, K. H. & Thielscher, A. SimNIBS 2.1: A Comprehensive Pipeline for Individualized Electric Field Modelling for Transcranial Brain Stimulation. Brain and Human Body Modeling. Springer, p. 3-25, 2019.
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Farcito, S., Puonti, O., Montanaro, H., Saturnino, G. B., Nielsen, J. D., Madsen, C. G., Siebner, H. R., Neufeld, E., Kuster, N., Lloyd, B. A. & Thielscher, A. Accurate anatomical head segmentations: a data set for biomedical simulations. 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, p. 6118-6123, 2019.
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Csifcsák, G., Boayue, N. M., Puonti, O., Thielscher, A. & Mittner, M.
Effects of transcranial direct current stimulation for treating depression: A modeling study.
Journal of Affective Disorders. 28, 234, p. 164-173, 2018.
Nielsen, J. D., Madsen, K. H., Puonti, O., Siebner, H. R., Bauer, C., Madsen, C. G., Saturnino, G. B. & Thielscher, A.
Automatic skull segmentation from MR images for realistic volume conductor models of the head: Assessment of the state-of-the-art.
NeuroImage. 2018.