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Lydia Alice Lindner

BSc, Dipl.-Ing.

20182019

Research output per year

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Research Output

Combining frequency and time-domain EEG features for classification of self-paced reach-and-grasp actions

Schwarz, A., Pereira, J., Lindner, L. & Müller-Putz, G., 25 Jul 2019, Proceedings of the 41st International Engineering in Medicine and Biology Conference. p. 3036-3041 6 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Using Synthetic Training Data for Deep Learning-Based GBM Segmentation

    Lindner, L., Narnhofer, D., Weber, M., Gsaxner, C., Egger, J. & Kolodziej, M., 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Institute of Electrical and Electronics Engineers, p. 6724-6729 6 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Exploit 18F-FDG enhanced urinary bladder in PET data for deep learning ground truth generation in CT scans

    Gsaxner, C., Pfarrkirchner, B., Lindner, L., Jakse, N., Wallner, J., Schmalstieg, D. & Egger, J., 12 Mar 2018, Medical Imaging 2018: Biomedical Applications in Molecular, Structural, and Functional Imaging. SPIE Press, SPIE - The International Society for Optical Engineering

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Activities

    • 1 Poster presentation

    Combining frequency and time-domain EEG features for classification of self-paced reach-and-grasp actions

    Andreas Schwarz (Speaker), Joana Pereira (Contributor), Lydia Lindner (Contributor), Gernot Müller-Putz (Speaker)
    25 Jul 2019

    Activity: Talk or presentationPoster presentationScience to science