Kristine Aavild Sørensen

Emailkajul@dtu.dk
Websitehttp://www.compute.dtu.dk

Richard Petersens Plads, 324, 110
2800 Kgs. Lyngby
Denmark

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3 Article in proceedings
1 Book chapter
1 Paper

Deep Learning Surrogate of Computational Fluid Dynamics for Thrombus Formation Risk in the Left Atrial Appendage
Morales, X., Mill, J., Juhl, K. A., Olivares, A., Jimenez-Perez, G., Paulsen, R. R. & Camara, O., 2020, Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges.. Springer, p. 157-166 (Lecture Notes in Computer Science, Vol. 12009).
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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Multi-planar whole heart segmentation of 3D CT images using 2D spatial propagation CNN
Sundgaard, J. V., Juhl, K. A., Kofoed, K. F. & Paulsen, R. R., 2020, Proceedings of SPIE. SPIE - International Society for Optical Engineering, Vol. 11313. 8 p. 113131Y. (Proceedings of SPIE, the International Society for Optical Engineering, Vol. 11313).
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Open Access
File
157 Downloads (Pure)
Guiding 3D U-nets with signed distance fields for creating 3D models from images
Juhl, K. A., Paulsen, R. R., Dahl, A. B., Dahl, V. A., De Backer, O., Kofoed, K. F. & Camara, O., 2019. 4 p.
Research output: Contribution to conference › Paper › Research › peer-review

Open Access
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108 Downloads (Pure)
Multi-view Consensus CNN for 3D Facial Landmark Placement
Paulsen, R. R., Juhl, K. A., Haspang, T., Hansen, T., Ganz, M. & Einarsson, G., 2019, Proceedings of 14th Asian Conference on Computer Vision. Springer, p. 706-719 (Lecture Notes in Computer Science, Vol. 11361).
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Open Access
File
35 Downloads (Pure)
Statistical Shape Clustering of Left Atrial Appendages
Slipsager, J. M., Juhl, K. A., Sigvardsen, P. E., Kofoed, K. F., Backer, O. D., Olivares, A. L., Camara, O. & Paulsen, R. R., 2019, Statistical Atlases and Computational Models of the Heart. Springer, p. 32–39 (Lecture Notes in Computer Science, Vol. 11395).
Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review

1 Active

Deep Learning Methods for Cardiac CT analysis
Sørensen, K. A., Paulsen, R. R., De Backer, O., Kofoed, K. F. & Camara Rey, O.
Technical University of Denmark
01/08/2018 → 08/07/2022
Project: PhD

Kristine Aavild Sørensen

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Dive into details

Deep Learning Surrogate of Computational Fluid Dynamics for Thrombus Formation Risk in the Left Atrial Appendage

Multi-planar whole heart segmentation of 3D CT images using 2D spatial propagation CNN

Guiding 3D U-nets with signed distance fields for creating 3D models from images

Multi-view Consensus CNN for 3D Facial Landmark Placement

Statistical Shape Clustering of Left Atrial Appendages

Deep Learning Methods for Cardiac CT analysis

Kristine Aavild Sørensen

Fingerprint

Network

Research output

Deep Learning Surrogate of Computational Fluid Dynamics for Thrombus Formation Risk in the Left Atrial Appendage

Multi-planar whole heart segmentation of 3D CT images using 2D spatial propagation CNN

Guiding 3D U-nets with signed distance fields for creating 3D models from images

Multi-view Consensus CNN for 3D Facial Landmark Placement

Statistical Shape Clustering of Left Atrial Appendages

Projects

Deep Learning Methods for Cardiac CT analysis