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, DanishFingerprint
Dive into the research topics where Francois Bernard Lauze is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Research output
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Automatic detection and localization of bone erosion in hand HR-pQCT
Ren, J., Arash Moaddel, H., Hauge, E. M., Keller, K. K., Jensen, R. K. & Lauze, F., 2019, Medical Imaging 2019: Computer-Aided Diagnosis. Mori, K. & Hahn, H. K. (eds.). SPIE - International Society for Optical Engineering, 9 p. 1095022. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE, Vol. 10950).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Segmentation of 2D and 3D Objects with Intrinsically Similarity Invariant Shape Regularisers
Hansen, J. D. K. & Lauze, F., 2019, Scale Space and Variational Methods in Computer Vision - 7th International Conference, SSVM 2019, Proceedings. Lellmann, J., Modersitzki, J. & Burger, M. (eds.). Springer, p. 369-380 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 11603 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Guest Editorial: Scale Space and Variational Methods
Lauze, F., Dong, Y. & Dahl, A. B., 1 Nov 2018, In: Journal of Mathematical Imaging and Vision. 60, 9, p. 1367-1368Research output: Contribution to journal › Editorial
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LED-based Photometric Stereo: Modeling, Calibration and Numerical Solutions
Quéau, Y., Durix, B., Wu, T., Cremers, D., Lauze, F. B. & Durou, J.-D., 1 Mar 2018, In: Journal of Mathematical Imaging and Vision. 60, 3, p. 313-340Research output: Contribution to journal › Journal article › Research › peer-review
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Multiphase Local Mean Geodesic Active Regions
Hansen, J. D. K. & Lauze, F. B., 26 Nov 2018, Proceedings, 24th International Conference on Pattern Recognition (ICPR). IEEE, p. 3031- 3036 6 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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A non-convex variational approach to photometric stereo under inaccurate lighting
Quéau, Y., Wu, T., Lauze, F. B., Durou, J.-D. & Cremers, D., 6 Nov 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, p. 350-359 10 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Density-based non-rigid registration of diffusion-weighted images
Jensen, H. G., Lauze, F. B., Nielsen, M. & Darkner, S., Apr 2017.Research output: Contribution to conference › Conference abstract for conference › Research › peer-review
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Fusion de données RVB-D par stéréophotométrie colorée
Quéau, Y., Durix, B., Lucas, T., Boumaza, J., Durou, J.-D. & Lauze, F. B., 2017, In: hal.archives-ouvertes.fr. p. 1-25 hal-01409663.Research output: Contribution to journal › Journal article › Research
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