Kristoffer Lindskov Hansen
Member of:
Radiology
- 2019
- Published
Tissue Motion Estimation and Correction in Super Resolution Imaging
Jensen, J. A., Andersen, S. B., Villagomez Hoyos, C. A., Hansen, Kristoffer Lindskov, Sorensen, Charlotte Mehlin & Bachmann Nielsen, M., Oct 2019, 2019 IEEE International Ultrasonics Symposium, IUS 2019. IEEE, p. 1107-1110 4 p. 8925632. (IEEE International Ultrasonics Symposium, IUS, Vol. 2019-October).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Long-term follow-up after stent graft placement for access-site and access-related vascular injury during TAVI - The Bonn-Copenhagen experience
Sedaghat, A., Hansen, Kristoffer Lindskov, Schahab, N., May, M. C., Weber, M., Stundl, A., Shamekhi, J., Schaefer, C., Nickenig, G., Sinning, J., Lönn, Lars, Søndergaard, Lars, Werner, N. & De Backer, O., 15 Apr 2019, In: International Journal of Cardiology. 281, p. 42-46 5 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Portable Vector Flow Imaging Compared With Spectral Doppler Ultrasonography
Di Ianni, T., Hansen, Kristoffer Lindskov, Villagomez Hoyos, C. A., Moshavegh, R., Nielsen, Michael Bachmann & Jensen, J. A., Mar 2019, In: IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control. 66, 3, p. 453-462 10 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Automatic Detection of B-Lines in In Vivo Lung Ultrasound
Moshavegh, R., Hansen, Kristoffer Lindskov, Moller-Sorensen, H., Nielsen, Michael Bachmann & Jensen, J. A., Feb 2019, In: IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control. 66, 2, p. 309-317 9 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Cardiac Vector Flow Imaging
Hansen, Kristoffer Lindskov, 2019, University of Copenhagen. 80 p.Research output: Book/Report › Doctoral thesis › Research
- Published
- Published
History and Latest Advances in Flow Estimation Technology: From 1-D in 2-D to 3-D in 4-D
Jensen, J. A., Sand Traberg, M., Nguyen, T. Q., Thomsen, E. V., Bent Larsen, N., Beers, C., Tomov, B. G., Nielsen, Michael Bachmann, Ivanov Nikolov, S., Hansen, Kristoffer Lindskov, Bo Stuart, M., Villagomez Hoyos, C. A., Schou, M., Ommen, M. L., Husebo Oygard, S. & Jorgensen, L. T., 2019, 2019 IEEE International Ultrasonics Symposium, IUS 2019. IEEE, p. 1041-1050 (IEEE International Ultrasonics Symposium, IUS, Vol. 2019-October).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Non-Invasive Assessment of Intravascular Pressure Gradients: A Review of Current and Proposed Novel Methods
Nguyen, T., Hansen, Kristoffer Lindskov, Bechsgaard, T., Lönn, Lars, Jensen, J. A. & Nielsen, Michael Bachmann, 2019, In: Diagnostics. 9, 1, 19 p., 5.Research output: Contribution to journal › Review › Research › peer-review
- Published
Pediatric Transthoracic Cardiac Vector Flow Imaging
Hansen, Kristoffer Lindskov, Juul, K., Møller-Sørensen, H., Nilsson, J. C., Jensen, J. A. & Nielsen, Michael Bachmann, 2019, In: Ultrasound International Open. 5, 1, p. E20-E26Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Pressure Difference Estimation in Carotid Bulbs using Vector Flow Imaging: A Phantom Study
Nguyen, T., Traberg, M. S., Bjerring Olesen, J., Moshavegh, R., Moller-Sorensen, P. H., Lonn, L., Jensen, J. A., Nielsen, Michael Bachmann & Hansen, Kristoffer Lindskov, 2019, p. 872-875.Research output: Contribution to conference › Paper › Research › peer-review
ID: 169426984
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401
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Data on the quantitative assessment pulmonary ground-glass opacification from coronary computed tomography angiography datasets
Research output: Contribution to journal › Journal article › Research › peer-review
Published -
132
downloads
Evaluation of Peak Reflux Velocities with Vector Flow Imaging and Spectral Doppler Ultrasound in Varicose Veins
Research output: Contribution to journal › Journal article › Research › peer-review
Published -
103
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The performance of deep learning algorithms on automatic pulmonary nodule detection and classification tested on different datasets that are not derived from LIDC-IDRI: A systematic review
Research output: Contribution to journal › Review › Research › peer-review
Published