Projects per year
Personal profile
Keywords
- Biomedical Engineering
- Medical Imaging
- Image Processing and Computer Vision
- Pattern Recognition and Machine Learning
Fingerprint
The fingerprint consists of automatically generated concepts related to the associated persons. It is updated automatically, when new content is added.
- 1 Similar Profiles
Collaborations from the last five years
Dive into details by clicking on the dots.
-
Modelling and quantification of the cerebral cortex
Østergaard, L. R. (Project Manager), Plocharski, M. (Project Participant), Eskildsen, S. F. (Project Participant) & Uldahl, M. (Project Participant)
01/01/2003 → …
Project: Research
-
NemoMed - cortex analysis on Alzheimer's patients
Østergaard, L. R. (Project Participant) & Eskildsen, S. F. (Project Participant)
01/06/2008 → 19/05/2010
Project: Research
-
3D modelling of cerebral vasculature
Haase, J. P. (Project Participant), Volden, M. (Project Participant), Østergaard, L. R. (Project Participant) & Flaaris, J. J. (Project Participant)
01/01/1999 → 31/12/2009
Project: Research
-
Virtual Brain projektet / The Virtual Brain project
Hansen, K. V. (Project Participant), Flaaris, J. J. (Project Participant), Volden, M. (Project Participant), Østergaard, L. R. (Project Participant), Haase, J. P. (Project Participant), Brix, L. C. (Project Participant) & Cros, O. S. J. (Project Participant)
01/01/1996 → 31/12/2005
Project: Research
Research output
-
Closing the data gap: leveraging pretrained neural networks for robotic surgical assessment on limited clinical data
Hashemi, N., Mose, M., Østergaard, L. R., Bjerrum, F., Søgaard-Andersen, E., Fabrin, K., Tuckus, G., Friis, M. L., Rasmussen, S. & Tolsgaard, M. G., Dec 2026, In: Journal of Robotic Surgery. 20, 1, 39.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile5 Downloads (Pure) -
A laboratory feasibility study using a computer algorithm for anastomosis segmentation of epicardial ultrasonography images from distal coronary artery bypass anastomoses
Jørgensen, A. S., Andersen, M. S., Østergaard, L. R., Schmidt, S. E., Nøhr, D. & Andreasen, J. J., Dec 2025, In: Journal of Cardiothoracic Surgery. 20, 1, p. 34 34.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile37 Downloads (Pure) -
Artificial intelligence-based action recognition and skill assessment in robotic cardiac surgery simulation: a feasibility study
Atroshchenko, G. V., Korup, L. R., Hashemi, N., Østergaard, L. R., Tolsgaard, M. G. & Rasmussen, S., 13 Jul 2025, In: Journal of Robotic Surgery. 19, 1, 9 p., 384.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile1 Citation (Scopus)21 Downloads (Pure) -
Multimodal MRI analysis selecting key brain features for machine learning based classification of diabetic neuropathic pain and phenotypes
Hostrup, S. N., Lind, H. P., Croosu, S. S., Røikjer, J., Mørch, C. D., Ejskjær, N., Østergaard, L. R., Hansen, T. M. & Frøkjær, J. B., 15 Nov 2025, In: Journal of the Neurological Sciences. 478, 11 p., 123701.Research output: Contribution to journal › Journal article › Research › peer-review
Open Access3 Citations (Scopus) -
Multimodal MRI Brain Signatures for the Classification of Neuropathic Pain and Diabetic Phenotypes
Hostrup, S. N. F., Lind, H. P., Croosu, S. S., Røikjer, J., Mørch, C. D., Ejskjær, N., Østergaard, L. R., Hansen, T. M. & Frøkjær, J. B., 2025, Neurodiab 2025 - 35th Annual Meeting of the NeuroDiab Study Group: Abstract Book. Bucharest, Romania, p. 52 1 p. OR.17Research output: Contribution to book/anthology/report/conference proceeding › Conference abstract in proceeding › Research › peer-review
Datasets
-
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
-
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
-
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
-
Kunstig intelligens kan snart hjælpe kræftpatienter
Østergaard, L. R. & Jørgensen, A. S.
04/07/2017
1 item of Media coverage
Press/Media: Press / Media
-
-
-