Research output per year
Research output per year
Personal profile
Short presentation
My main interests include Image Registration, Segmentation and Classification of Medical Image Data. I work with estimation of image similarity as my primary interest along with computational well-founded implementation. I strongly believe that the implementation of image processing algorithms should be thoroughly tested and reflect the theoretical properties as well as possible.
I work mainly on neuro-imaging data such as MRI and PET.
External positions
DTU, IMM
1 Feb 2009 → 31 Jan 2010
Keywords
- Faculty of Science
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Research output
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A Highly Accurate Model Based Registration Method for FIB-SEM Images of Neurons
Stephensen, H. J. T., Darkner, S. & Sporring, J., 2019, In: arXiv.org. 8 p.Research output: Contribution to journal › Journal article › Research
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Data Driven Inverse Kinematics of Soft Robots using Local Models
Holsten, F., Engell-norregard, M. P., Darkner, S. & Erleben, K., May 2019, 2019 International Conference on Robotics and Automation (ICRA). IEEE, p. 6251-6257Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Deterministic Group Tractography with Local Uncertainty Quantification
Holm, A. N., Feragen, A., Dela Haije, T. & Darkner, S., 2019, Computational Diffusion: International MICCAI Workshop, Granada,. Bonet-Carne, E., Grussu, F., Ning, L., Sepehrband, F. & Tax, C. M. W. (eds.). 226249 ed. Springer, p. 377-386 (Mathematics and Visualization).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Brain Segmentation in Rodent MR-Images Using Convolutional Neural Networks
Sigurdsson, B., Darkner, S., Sommer, S. H., Mortensen, K. N., Sanggaard, S., Kostrikov, S. & Nedergaard, M., 2018.Research output: Contribution to conference › Conference abstract for conference › Research › peer-review
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Collocation for diffeomorphic deformations in medical image registration
Darkner, S., Pai, A. S. U., Liptrot, M. G. & Sporring, J., 1 Jul 2018, In: I E E E Transactions on Pattern Analysis and Machine Intelligence. 40, 7, p. 1570-1583Research output: Contribution to journal › Journal article › Research › peer-review
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Safety and Efficacy of Mesenchymal Stem Cells for Radiation-Induced Xerostomia: A Randomized, Placebo-Controlled Phase 1/2 Trial (MESRIX)
Grønhøj, C., Jensen, D. H., Vester-Glowinski, P., Jensen, S. B., Bardow, A., Oliveri, R. S., Fog, L. M., Specht, L., Thomsen, C., Darkner, S., Jensen, M., Müller, V., Kiss, K., Agander, T., Andersen, E., Fischer-Nielsen, A. & von Buchwald, C., 1 Jul 2018, In: International Journal of Radiation Oncology, Biology, Physics. 101, 3, p. 581-592 12 p.Research output: Contribution to journal › Journal article › Research › peer-review
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3D analysis of synaptic vesicle density and distribution after acute foot-shock stress by using serial section transmission electron microscopy
Khanmohammadi, M., Darkner, S., Nava, N., Nyengaard, J. R., Wegener, G., Popoli, M. & Sporring, J., 1 Jan 2017, In: Journal of Microscopy. 265, 1, p. 101–110 10 p.Research output: Contribution to journal › Journal article › Research › peer-review
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A statistical model for simultaneous template estimation, bias correction, and registration of 3D brain images
Pai, A. S. U., Sommer, S. H., Raket, L. L., Kühnel, L., Darkner, S., Sørensen, L. & Nielsen, M., 2017, Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging: MICCAI 2016 International Workshops, MCV and BAMBI, Athens, Greece, October 21, 2016, Revised Selected Papers. Müller, H., Kelm, B. M., Arbel, T., Cai, W., Cardoso, M. J., Langs, G., Menze, B., Metaxas, D., Montillo, A., Wells, W. M., Zhang, S., Chung, A. C. S., Jenkinson, M. & Ribbens, A. (eds.). Springer, p. 151-159 9 p. (Lecture notes in computer science, Vol. 10081).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review