• Fredrik Bajers Vej 7, C1-212

    9220 Aalborg Ø

    Denmark

19962020

Research output per year

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Personal profile

Keywords

  • Biomedical Engineering
  • Medical Imaging
  • Image Processing and Computer Vision
  • Pattern Recognition and Machine Learning

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Projects

Modelling and quantification of the cerebral cortex

Østergaard, L. R., Plocharski, M., Eskildsen, S. F. & Uldahl, M.

01/01/2003 → …

Project: Research

NemoMed - cortex analysis on Alzheimer's patients

Østergaard, L. R. & Eskildsen, S. F.

<ingen navn>

19/05/201001/06/2008

Project: Research

3D modelling of cerebral vasculature

Haase, J. P., Volden, M., Østergaard, L. R. & Flaaris, J. J.

01/01/199931/12/2009

Project: Research

Virtual Brain projektet / The Virtual Brain project

Hansen, K. V., Flaaris, J. J., Volden, M., Østergaard, L. R., Haase, J. P., Brix, L. C. & Cros, O. S. J.

01/01/199631/12/2005

Project: Research

Research Output

Multi-Contrast Hippocampal Subfield Segmentation for Ultra-High Field 7T MRI Data using Deep Learning

Lund, D. R., Gade, M. T., Jensen, T., Shaw, T. B., Plocharski, M., Østergaard, L. R., Bollmann, S. & Barth, M., 24 Jul 2020, Proceedings of the 2020 ISMRM & SMRT Virtual Conference & Exhibition, 08-14 August 2020. 3521

Research output: Contribution to book/anthology/report/conference proceedingConference abstract in proceedingResearchpeer-review

  • Pancreatic magnetic resonance imaging texture analysis in chronic pancreatitis: a feasibility and validation study

    Frøkjær, J. B., Lisitskaya, M. V., Jørgensen, A. S., Østergaard, L. R., Hansen, T. M., Drewes, A. M. & Olesen, S. S., May 2020, In : Abdominal Radiology. 45, 5, p. 1497-1506 10 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  • Assessment of prostate cancer prognostic Gleason grade group using zonal-specific features extracted from biparametric MRI using a KNN classifier

    Jensen, C., Carl, J., Boesen, L., Langkilde, N. C. & Østergaard, L. R., Feb 2019, In : Journal of Applied Clinical Medical Physics. 20, 2, p. 146–153 8 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

    Open Access
    File
  • 3 Citations (Scopus)
    93 Downloads (Pure)

    Deep Learning for solving ill-posed problems in Quantitative Susceptibility Mapping: What can possibly go wrong?

    Høy, P. C., Storm Sørensen, K., Østergaard, L. R., O'Brien, K., Barth, M. & Bollmann, S., 2019, Proceedings of the International Society for Magnetic Resonance in Medicine, ISMRM 27th Annual Meeting & Exhibition. 0321

    Research output: Contribution to book/anthology/report/conference proceedingConference abstract in proceedingResearchpeer-review

    DeepQSM - using deep learning to solve the dipole inversion for quantitative susceptibility mapping

    Bollmann, S., Rasmussen, K. G. B., Kristensen, M., Blendal, R. G., Østergaard, L. R., Plocharski, M., O'Brien, K., Langkammer, C., Janke, A. & Barth, M., Jul 2019, In : NeuroImage. 195, p. 373-383 11 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

    Open Access
    File
  • 9 Citations (Scopus)
    22 Downloads (Pure)

    Press / Media

    Lokale kræfter skal løfte idrætten

    Lasse Riis Østergaard

    01/04/2017

    2 items of Media coverage

    Press/Media: Press / Media

    Navne i noter

    Lasse Riis Østergaard

    15/05/2015

    1 item of Media coverage

    Press/Media: Press / Media

    Shit og kridt er et hit

    Lasse Riis Østergaard

    16/04/2015

    3 items of Media coverage

    Press/Media: Press / Media