Research output per year
Research output per year
Personal profile
Profile
Vedrana Andersen Dahl is developing methods for image analysis and geometry processing. Research interests include geometric texture analysis and synthesis, deformable models, texture based segmentation, OCT data, large tomographic data, feature preserving mesh smoothing, content aware geometry deformation.
Other information
Language Skills:English
Croatian
Danish
Expertise related to 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. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
PhD in Image Analysis and Computer Graphic, Technical University of Denmark, Department for Informatics and Mathematical Modelling
2007 → 2011
Msc in IT, Multimedia Technology, The IT University of Copenhagen
2005 → 2007
Diploma in Mathematics and Physics, University of Zagreb, Faculty of Science
1992 → 1999
External positions
PhD Student, Technical University of Denmark
2007 → 2010
Teacher of mathematics, Upper primary school Trnsko, Zagreb
1999 → 2001
Keywords
- User defined:
- Geometry Processing
- Triangular Meshes
- Image Analysis
- Deformable models
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Research output
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3D multiscale characterization of the human placenta: Bridging anatomy and histology by X-ray phase-contrast tomography
Reichmann, J., Schnurpfeil, A., Mittelstädt, S., Jensen, P. M., Dahl, V. A., Dahl, A. B., Weide, C., von Campenhausen, E., Dejea, H., Tafforeau, P., Werlein, C., Jonigk, D., Ackermann, M., Engel, K., Gallwas, J., Dietz, A., Hasanov, M. F. & Salditt, T., 2025, In: Pnas Nexus. 4, 1, 13 p., pgae583.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile18 Downloads (Pure) -
BugNIST a Large Volumetric Dataset for Object Detection Under Domain Shift
Jensen, P. M., Dahl, V. A., Engberg, R., Gundlach, C., Kjer, H. M. & Dahl, A. B., 2025, Proceedings of the 18th European Conference on Computer Vision – ECCV 2024 . Springer, Vol. 15090. p. 18-36Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Deep Learning for Resolving 3D Microstructural Changes in the Fibrotic Liver
Laprade, W. M., Pirzamanebin, B., Mokso, R., Nilsson, J., Dahl, V. A., Dahl, A. B., Holmberg, D. & Schmidt-Christensen, A., 2025, Proceedings of the Third International Workshop on Applications of Medical Artificial Intelligence, AMAI 2024 . Springer, p. 74-84 (Applications of Medical Artificial Intelligence).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Automated analysis of the void structure in hardened concrete based on shape from focus
Li, G., Hasholt, M. T., Dahl, V. A. & Jensen, O. M., 2024, In: Materials and Structures. 57, 7, 18 p., 172.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile19 Downloads (Pure) -
Bridging the 3D geometrical organisation of white matter pathways across anatomical length scales and species
Kjer, H. M., Andersson, M., He, Y., Pacureanu, A., Daducci, A., Pizzolato, M., Salditt, T., Robisch, A.-L., Eckermann, M., Töpperwien, M., Bjorholm Dahl, A., Elkjær, M. L., Illes, Z., Ptito, M., Andersen Dahl, V. & Dyrby, T. B., 2024, In: eLife. 13, 35 p., RP94917.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile1 Downloads (Pure)
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Neural networks-based X-ray tissue imaging for robotic automation
Pedersen, R. J. (PhD Student), Dahl, V. A. (Main Supervisor), Jørgensen, J. S. (Supervisor) & Nielsen, G. G. B. (Supervisor)
01/03/2025 → 29/02/2028
Project: PhD
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Prototyping platform¿for¿real-time analysis for ultrafast SAXS/WAXS on¿fibres, composites and¿polymer film
Eriksson, H. (PhD Student), Andreasen, J. W. (Main Supervisor), Dahl, V. A. (Supervisor) & Mikkelsen, L. P. (Supervisor)
15/01/2025 → 14/01/2028
Project: PhD
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Biomedical Image Segmentation using Graph Cuts
Mikkelstrup, C. M. (PhD Student), Gørtz, I. L. (Main Supervisor) & Dahl, V. A. (Supervisor)
01/09/2024 → 31/08/2027
Project: PhD
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Diffusion Models for Image Segmentation
Christensen, J. L. (PhD Student), Dahl, V. A. (Main Supervisor) & Hannemose, M. R. (Supervisor)
01/12/2023 → 30/11/2026
Project: PhD
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X-ray imaging and scattering techniques for pultruded carbon fibre composites for wind turbine blades
Mageira, P. (PhD Student), Mikkelsen, L. P. (Main Supervisor), Andreasen, J. W. (Supervisor) & Dahl, V. A. (Supervisor)
01/10/2023 → 30/09/2026
Project: PhD
Activities
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Pawel Tomasz Pieta, 3D surface fitting for segmenting and modeling folded honeycombs, Master project
Mikkelsen, L. P. (Supervisor) & Dahl, V. A. (Main supervisor)
11 Jan 2022 → 11 Jun 2022Activity: Examinations and supervision › Supervisor activities
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Detecting and tracking myelinated axons in volumetric data
Dahl, V. A. (Guest lecturer)
27 May 2019Activity: Talks and presentations › Conference presentations
File -
University of Copenhagen (External organisation)
Dahl, V. A. (Member)
19 Mar 2019Activity: Membership › Membership in review committee
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Uppsala University (External organisation)
Dahl, V. A. (Member)
5 Jun 2019Activity: Membership › Membership in review committee
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University College Copenhagen (External organisation)
Dahl, V. A. (Member)
1 Aug 2018 → …Activity: Membership › Study administrative duties
Datasets
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STXAE - X-ray computed tomography data structure tensor orientation mapping for finite element models
Auenhammer, R. M. (Creator), Jeppesen, N. (Creator), Mikkelsen, L. P. (Creator), Dahl, V. A. (Creator) & Asp, L. E. (Creator), Code Ocean, 2021
DOI: 10.24433/co.4407802.v1, https://codeocean.com/capsule/3494546/tree/v1
Dataset
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Quantifying effects of manufacturing methods on fiber orientation in unidirectional composites using structure tensor analysis
Nymark, A. N. (Contributor), Dahl, V. A. (Contributor), Mikkelsen, L. P. (Contributor), Dahl, A. B. (Contributor) & Jeppesen, N. (Contributor), Zenodo, 2021
DOI: 10.5281/zenodo.4446499, https://zenodo.org/record/4446499
Dataset
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Characterization of the Fiber Orientations in Non-Crimp Glass Fiber Reinforced Composites using Structure Tensor
Jeppesen, N. (Contributor), Christensen, A. (Contributor), Mikkelsen, L. (Contributor), Dahl, A. (Contributor) & Dahl, V. (Contributor), Zenodo, 2020
DOI: 10.5281/zenodo.3877522, https://zenodo.org/record/3877522
Dataset
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A multimodal data-set of a unidirectional glass fibre reinforced polymer composite
Dahl, A. B. (Contributor), Emerson, M. J. (Contributor), Conradsen, K. (Contributor), Dahl, V. A. (Contributor) & Mikkelsen, L. P. (Contributor), Zenodo, 2018
DOI: 10.5281/zenodo.1195879, https://zenodo.org/record/1195879
Dataset
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X-ray computed tomography aided engineering approach for non-crimp fabric reinforced composites [Data set]
Auenhammer, R. M. (Creator), Jeppesen, N. (Creator), Mikkelsen, L. P. (Creator), Dahl, V. A. (Creator), Blinzler, B. J. (Creator) & Asp, L. E. (Creator), Zenodo, 2021
DOI: 10.5281/zenodo.5774920, https://zenodo.org/record/5774920
Dataset
Press/Media
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Vedrana Andersen Dahl receives Villum Experiment grant
22/09/2022
1 Media contribution
Press/Media: Press / Media