Research output per year
Research output per year
Personal profile
Primary fields of research
Mathematical Image Analysis, including variational and partial differential equations methods, with applications to image inpainting (still and video), motion estimation in image sequences, segmentation, video format conversion. Differential and Riemannian geometric methods for shape analysis applied to anatomical structures extracted from X-ray and other medical imaging modalities.
Current research
Video Inpainting methods, fast implementations. Riemannian Geometric methods and curve evolution for segmentation and shape statistics.
Knowledge of languages
French (mother's tongue), English, Danish
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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Locally orderless networks
Sporring, J., Xu, P., Lu, J., Lauze, F. B. & Darkner, S., 19 Jun 2024, arxiv.org, 12 p.Research output: Working paper › Preprint › Research
Open AccessFile4 Downloads (Pure) -
Deep Learning-Assisted Localisation of Nanoparticles in synthetically generated two-photon microscopy images
Netterstrøm, R., Kutuzov, N., Darkner, S., Pallesen, M. J., Lauritzen, M., Erleben, K. & Lauze, F. B., 2023, arXiv.org, 1 p.Research output: Working paper › Preprint › Research
Open AccessFile23 Downloads (Pure) -
On Photometric Stereo in the Presence of a Refractive Interface
Quéau, Y., Bruneau, R., Mélou, J., Durou, J. D. & Lauze, F., 2023, Scale Space and Variational Methods in Computer Vision - 9th International Conference, SSVM 2023, Proceedings. Calatroni, L., Donatelli, M., Morigi, S., Prato, M. & Santacesaria, M. (eds.). Springer, p. 691-703 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 14009 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
File1 Citation (Scopus)9 Downloads (Pure) -
Refractive Pose Refinement: Generalising the Geometric Relation between Camera and Refractive Interface
Hu, X., Lauze, F. & Pedersen, K. S., 2023, In: International Journal of Computer Vision. 131, 6, p. 1448-1476Research output: Contribution to journal › Journal article › Research › peer-review
2 Citations (Scopus) -
SE(3) Group Convolutional Neural Networks and a Study on Group Convolutions and Equivariance for DWI Segmentation
Liu, R., Lauze, F. B., Bekkers, E. J., Erleben, K. & Darkner, S., 2023, Research Square, 32 p.Research output: Working paper › Preprint › Research
Open AccessFile11 Downloads (Pure) -
Bundle geodesic convolutional neural network for diffusion-weighted imaging segmentation
Liu, R., Lauze, F., Erleben, K., Berg, R. W. & Darkner, S., 2022, In: Journal of Medical Imaging. 9, 6, 14 p., 064002.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile47 Downloads (Pure) -
Group Convolutional Neural Networks for DWI Segmentation
Liu, R., Lauze, F. B., Bekkers, E. J. & Erleben, K., 2022, In: Proceedings of Machine Learning Research. 2022, 1, p. 1-11Research output: Contribution to journal › Conference article › Research
Open AccessFile3 Citations (Scopus)19 Downloads (Pure) -
Information-Theoretic Registration with Explicit Reorientation of Diffusion-Weighted Images
Jensen, H. G., Lauze, F. & Darkner, S., 2022, In: Journal of Mathematical Imaging and Vision. 64, p. 1-16Research output: Contribution to journal › Journal article › Research › peer-review
Open Access