Publications per year
Publications per year
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Dive into the research topics where Kristine Aavild Sørensen is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Deep Reinforcement Learning for Detection of Inner Ear Abnormal Anatomy in Computed Tomography
Lopez Diez, P., Sørensen, K. A., Sundgaard, J. V., Diab, K., Margeta, J., Patou, F. & Paulsen, R. R., 2022, Proceedings of 25th International Conference on Medical Image Computing and Computer Assisted Intervention. Vol. 13433. p. 697–706Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Open AccessFile51 Downloads (Pure) -
NUDF - Neural Unsigned Distance Fields for High Resolution 3D Medical Image Segmentation
Sorensen, K., Camara, O., Backer, O. D., Kofoed, K. F. & Paulsen, R. R., 2022, Proceedings of 19th IEEE International Symposium on Biomedical Imaging. IEEE, 5 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Geometric Deep Learning for the Assessment of Thrombosis Risk in the Left Atrial Appendage
Morales, X., Mill, J., Simeon, G., Juhl, K. A., De Backer, O., Paulsen, R. R. & Camara, O., 2021, Functional Imaging and Modeling of the Heart. Ennis, D. B., Perotti, L. E. & Wang, V. Y. (eds.). Springer, p. 639-649 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 12738 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Implicit Neural Distance Representation for Unsupervised and Supervised Classification of Complex Anatomies
Juhl, K. A., Morales, X., de Backer, O., Camara, O. & Paulsen, R. R., 2021, Medical Image Computing and Computer Assisted Intervention. de Bruijne, M., Cattin, P. C., Cotin, S., Padoy, N., Speidel, S., Zheng, Y. & Essert, C. (eds.). Springer, p. 405-415 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 12902 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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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
Open AccessFile88 Downloads (Pure)
Projects
- 1 Active
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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 → 08/05/2023
Project: PhD