Projects per year
Personal profile
Keywords
- Biomedical Engineering
- Medical Imaging
- Image Processing and Computer Vision
- Pattern Recognition and Machine Learning
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Collaborations from the last five years
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Modelling and quantification of the cerebral cortex
Østergaard, L. R., Plocharski, M., Eskildsen, S. F. & Uldahl, M.
01/01/2003 → …
Project: Research
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NemoMed - cortex analysis on Alzheimer's patients
Østergaard, L. R. & Eskildsen, S. F.
01/06/2008 → 19/05/2010
Project: Research
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3D modelling of cerebral vasculature
Haase, J. P., Volden, M., Østergaard, L. R. & Flaaris, J. J.
01/01/1999 → 31/12/2009
Project: Research
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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.
01/01/1996 → 31/12/2005
Project: Research
Research output
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Association between thoracic and third lumbar CT-derived muscle mass and density in Caucasian patients without chronic disease: a proof-of-concept study
Brath, M. S. G., Sahakyan, M., Mark, E. B., Frøkjær, J. B., Rasmussen, H. H., Østergaard, L. R. & Weinreich, U. M., 29 May 2023, In: European radiology experimental. 7, 1, 26.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile2 Downloads (Pure) -
Assessment of thoracic skeletal muscle mass in contrast-enhanced computed tomography: A perspective for body composition in patients with COPD– a pilot study
Brath, M. S. G., Sahakyan, M., Veiss-Pedersen, P., Mark, E. B., Frøkjær, J. B., Østergaard, L. R., Rasmussen, H. H. & Weinreich, U. M., Jan 2022.Research output: Contribution to conference without publisher/journal › Poster › Communication
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Association between thoracic muscle mass assessed by high-resolution computed tomography and static lung volume in patients with COPD - a pilot study
Brath, M. S. G., Mark, E. B., Frøkjær, J. B., Veiss-Pedersen, P., Østergaard, L. R., Rasmussen, H. H. & Weinreich, U. M., Sept 2022.Research output: Contribution to conference without publisher/journal › Poster › Communication
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Computed tomography based thoracic muscular cross-sectional area in patients without chronic diseases - a pilot study
Brath, M. S. G., Sahakyan, M., Mark, E. B., Veiss-Pedersen, P., Frøkjær, J. B., Rasmussen, H. H., Østergaard, L. R. & Weinreich, U. M., Mar 2022.Research output: Contribution to conference without publisher/journal › Poster › Communication
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Computer-Assisted Annotation of Digital H&E/SOX10 Dual Stains Generates High-Performing Convolutional Neural Network for Calculating Tumor Burden in H&E-Stained Cutaneous Melanoma
Nielsen, P. S., Georgsen, J. B., Vinding, M. S., Østergaard, L. R. & Steiniche, T., 2 Nov 2022, In: International Journal of Environmental Research and Public Health. 19, 21, 14327.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile19 Downloads (Pure)
Datasets
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A new method to validate thoracic CT-CT deformable image registration using auto-segmented 3D anatomical landmarks
Nielsen, M. S. (Creator), Østergaard, L. R. (Creator) & Carl, J. (Creator), Figshare, 20 Oct 2015
DOI: 10.6084/m9.figshare.1580051.v1, https://figshare.com/articles/A_new_method_to_validate_thoracic_CT_CT_deformable_image_registration_using_auto_segmented_3D_anatomical_landmarks/1580051/1
Dataset: Supplementary material
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A new method to validate thoracic CT-CT deformable image registration using auto-segmented 3D anatomical landmarks
Nielsen, M. S. (Creator), Østergaard, L. R. (Creator) & Carl, J. (Creator), Figshare, 2015
DOI: 10.6084/m9.figshare.1580051, https://figshare.com/articles/A_new_method_to_validate_thoracic_CT_CT_deformable_image_registration_using_auto_segmented_3D_anatomical_landmarks/1580051
Dataset
Press/Media
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Palle havde 170.000 nordjyder under sine vinger: - Du skal have store ører og et varmt hjerte
18/12/2019
1 item of Media coverage
Press/Media: Press / Media
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Kunstig intelligens kan snart hjælpe kræftpatienter
Lasse Riis Østergaard & Alex Skovsbo Jørgensen
04/07/2017
1 item of Media coverage
Press/Media: Press / Media
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