Publications per year
Publications per year
Organisation profile
Organisation profile
The Section for ultrasound and Biomechanics develops and investigates advanced ultrasound methods from the basic acoustics to the clinic and everything in between. This includes development of advanced silicon transducers, 3D printed phantoms, advanced fluid simulations, construction of ultrasound research scanners, state-of-the-art ultrasound simulation, synthetic aperture imagingalgorithms, tensor velocity imaging, animal studies and clinical investigations. The science includes the invention of methods, patenting, and translation into commercial products.
The Section encompasses three groups: Cardiovascular biomechanics, MEMS, and Center for Fast Ultrasound Imaging (CFU). And it is currently funded by a Grand Solutions grants from the Innovation Fund Denmark and by a Synergy Grant from the European Research Council (ERC).
UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. Our work contributes towards the following SDG(s):
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Collaborations and top research areas from the last five years
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Profiles
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Branched Convolutional Neural Networks for Receiver Channel Recovery in High-Frame-Rate Sparse-Array Ultrasound Imaging
Pitman, W. M. K., Xiao, D., Yiu, B. Y. S., Chee, A. J. Y. & Yu, A. C. H., 2024, In: IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control. 71, 5, p. 558-571Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile11 Downloads (Pure) -
CUQIpy: I. Computational uncertainty quantification for inverse problems in Python
Riis, N. A. B., Alghamdi, A. M. A., Uribe, F., Christensen, S. L., Afkham, B. M., Hansen, P. C. & Jørgensen, J. S., 2024, In: Inverse Problems. 40, 4, 37 p., 045009 .Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile64 Downloads (Pure) -
CUQIpy: II. Computational uncertainty quantification for PDE-based inverse problems in Python
Alghamdi, A. M. A., Riis, N. A. B., Afkham, B. M., Uribe, F., Christensen, S. L., Christian Hansen, P. & Jørgensen, J. S., 2024, In: Inverse Problems. 40, 4, 38 p., 045010 .Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile50 Downloads (Pure)
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Decision support AI for Skin Lesions
Kampen, P. J. T. (PhD Student), Christensen, A. N. (Main Supervisor), Dahl, A. B. (Supervisor) & Hannemose, M. R. (Supervisor)
01/08/2024 → 31/07/2027
Project: PhD
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AI for Extreme Super-Resolution CT
Høeg, A. L. (PhD Student), Dahl, A. B. (Main Supervisor), Dyrby, T. B. (Supervisor) & Kjer, H. M. (Supervisor)
01/01/2024 → 31/12/2026
Project: PhD
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Uncertainty Estimation in Computational Dosimetry
Diedrichsen, M. (PhD Student), Thielscher, A. (Main Supervisor) & Madsen, K. H. (Supervisor)
01/10/2023 → 30/09/2026
Project: PhD
Activities
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3D super-resolution ultrasound imaging of rat kidney using a row-column array
Taghavi, I. (Guest lecturer)
11 Jun 2023 → 14 Jun 2023Activity: Talks and presentations › Conference presentations
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Super-resolution ultrasound imaging
Taghavi, I. (Guest lecturer)
1 Mar 2023 → 5 Mar 2023Activity: Talks and presentations › Conference presentations
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Super-resolution ultrasound imaging using a hierarchical Kalman tracker
Taghavi, I. (Guest lecturer)
26 Jun 2023 → 29 Jun 2023Activity: Talks and presentations › Conference presentations