Steffen Czolbe
PhD Student
Machine Learning
Universitetsparken 1
2100 København Ø
1 - 5 out of 5Page size: 10
- 2023
- Published
Neuralizer: General Neuroimage Analysis without Re-Training
Czolbe, Steffen & Dalca, A. V., 2023, Proceedings - 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023. IEEE Computer Society Press, p. 6217-6230 14 p. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Vol. 2023-June).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Semantic similarity metrics for image registration
Czolbe, Steffen, Pegios, P., Krause, Oswin & Feragen, A., 2023, In: Medical Image Analysis. 87, 16 p., 102830.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Topology-Aware Image Registration: Deep Learning in Medical Imaging
Czolbe, Steffen, 2023, Department of Computer Science, Faculty of Science, University of Copenhagen. 111 p.Research output: Book/Report › Ph.D. thesis › Research
- 2021
- Published
Is Segmentation Uncertainty Useful?
Czolbe, Steffen, Arnavaz, Kasra, Krause, Oswin & Feragen, A., 2021, Information Processing in Medical Imaging - 27th International Conference, IPMI 2021, Proceedings. Feragen, A., Sommer, S., Schnabel, J. & Nielsen, M. (eds.). Springer, p. 715-726 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 12729 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- 2020
- Published
A Loss Function for Generative Neural Networks Based on Watson's Perceptual Model
Czolbe, Steffen, Krause, Oswin, Cox, Ingemar Johansson & Igel, Christian, 2020, Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtua. NeurIPS Proceedings, (Advances in Neural Information Processing Systems, Vol. 33).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
ID: 201657366
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A Loss Function for Generative Neural Networks Based on Watson's Perceptual Model
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Published -
15
downloads
Semantic similarity metrics for image registration
Research output: Contribution to journal › Journal article › Research › peer-review
Published