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Tommy Sonne Alstrøm

 https://orcid.org/0000-0003-0941-3146

  • Richard Petersens Plads, 321, 007

    2800 Kgs. Lyngby

    Denmark

20062020
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Research Output 2006 2019

13 Downloads (Pure)

A Bayesian Generative Model With Gaussian Process Priors For Thermomechanical Analysis Of Micro-Resonators

Vording, M. F., Okeyo, P. O., Rubio Guillamón, J. J., Schmidt, M. N., Larsen, P. E. & Alstrøm, T. S., 2019, (Accepted/In press) Proceedings of 2019 IEEE International Workshop on Machine Learning for Signal Processing. IEEE, 6 p.

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Open Access
File
33 Downloads (Pure)

Insights into the behaviour of multi-task deep neural networks for medical image segmentation.

Bienias, L. T., Rubio Guillamón, J. J., Nielsen, L. H. & Alstrøm, T. S., 2019, Proceedings of 2019 IEEE International Workshop on Machine Learning for Signal Processing.. IEEE, 6 p.

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Open Access
File

Peak Detection and Baseline Correction Using a Convolutional Neural Network

Schmidt, M. N., Alstrom, T. S., Svendstorp, M. & Larsen, J., 1 May 2019, Proceedings of 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 . IEEE, p. 2757-2761 8682311

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

14 Downloads (Pure)

Evaluation of the effects of spray drying parameters for producing cubosome powder precursors

von Halling Laier, C., Alstrøm, T. S., Bargholz, M. T., Sjøltov, P. B., Rades, T., Boisen, A. & Nielsen, L. H., 2018, In : European Journal of Pharmaceutics and Biopharmaceutics. 135, p. 44-48

Research output: Contribution to journal › Journal article › Research › peer-review

Open Access
File
358 Downloads (Pure)

A pseudo-Voigt component model for high-resolution recovery of constituent spectra in Raman spectroscopy

Alstrøm, T. S., Schmidt, M. N., Rindzevicius, T., Boisen, A. & Larsen, J., 2017, Proceedings of the 42nd IEEE International Conference on Acostics, Speech and Signal Processing. IEEE, p. 2317-21

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Open Access
File

Projects 2008 2020

Active Deep Learning for Nano Sensor Systems

Vording, M. F., Larsen, J., Schmidt, M. N. & Alstrøm, T. S.

Samfinansieret - Andet

01/08/2017 → 02/10/2020

Project: PhD

Machine Learning and Signal Processing in Miniaturized Sensor for Explosive Detection

Alstrøm, T. S., Larsen, J., Hansen, L. K., Kidmose, P. & Mandic, D. P.

Forskningsrådsfinansiering

01/10/2008 → 17/06/2013

Project: PhD

Activities 2017 2017

  • 1 Conference presentations

Integration of Nanopillar SERS Substrates in a Microfluidic Platform for Analyte Separation and Quantitative Sensing

Onur Durucan (Guest lecturer), Lidia Morelli (Guest lecturer), Kaiyu Wu (Guest lecturer), Marlitt Viehrig (Guest lecturer), Oleksii Ilchenko (Guest lecturer), Kinga Zor (Guest lecturer), Marco Matteucci (Guest lecturer), Tommy Sonne Alstrøm (Guest lecturer), Tomas Rindzevicius (Guest lecturer), Michael Stenbæk Schmidt (Guest lecturer), Anja Boisen (Guest lecturer)
11 Jun 2017 → 17 Jun 2017

Activity: Talks and presentations › Conference presentations