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Oula Puonti

Email

Tel.

Position

Postdoc

Affiliations

DTU Elektro

Research Interests

Bayesian modeling, segmentation, structural MRI

Curriculum Vitae

Education

MSc

PhD

Employments

Visiting researcher TUM-NIC, PhD Student DTU Compute, Research Assistant Aalto University

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.