Francois Bernard Lauze

Francois Bernard Lauze

Associate Professor

ORCID: 0000-0003-2503-6475

Publication year:
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1 - 10 out of 85Page size: 10
  1. 2023
  2. Published

    Deep Learning-Assisted Localisation of Nanoparticles in synthetically generated two-photon microscopy images

    Netterstrøm, R., Kutuzov, Nikolay, Darkner, Sune, Pallesen, M. J., Lauritzen, Martin, Erleben, Kenny & Lauze, Francois Bernard, 2023, arXiv.org, 1 p.

    Research output: Working paper › Preprint › Research

  3. Published

    On Photometric Stereo in the Presence of a Refractive Interface

    Quéau, Y., Bruneau, Robin, Mélou, J., Durou, J. D. & Lauze, Francois Bernard, 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 Science and Business Media Deutschland GmbH, 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

  4. Published

    Refractive Pose Refinement: Generalising the Geometric Relation between Camera and Refractive Interface

    Hu, X., Lauze, Francois Bernard & Steenstrup Pedersen, Kim, 2023, In: International Journal of Computer Vision. 131, 6, p. 1448-1476

    Research output: Contribution to journal › Journal article › Research › peer-review

  5. Published

    SE(3) Group Convolutional Neural Networks and a Study on Group Convolutions and Equivariance for DWI Segmentation

    Liu, Renfei, Lauze, Francois Bernard, Bekkers, E. J., Erleben, Kenny & Darkner, Sune, 2023, Research Square, 32 p.

    Research output: Working paper › Preprint › Research

  6. 2022
  7. Published

    Bundle geodesic convolutional neural network for diffusion-weighted imaging segmentation

    Liu, Renfei, Lauze, Francois Bernard, Erleben, Kenny, Berg, Rune W. & Darkner, Sune, 2022, In: Journal of Medical Imaging. 9, 6, 14 p., 064002.

    Research output: Contribution to journal › Journal article › Research › peer-review

  8. Published

    Group Convolutional Neural Networks for DWI Segmentation

    Liu, Renfei, Lauze, Francois Bernard, Bekkers, E. J. & Erleben, Kenny, 2022, In: Proceedings of Machine Learning Research. 2022, 1, p. 1-11

    Research output: Contribution to journal › Conference article › Research

  9. Published

    Information-Theoretic Registration with Explicit Reorientation of Diffusion-Weighted Images

    Jensen, H. G., Lauze, Francois Bernard & Darkner, Sune, 2022, In: Journal of Mathematical Imaging and Vision. 64, p. 1-16

    Research output: Contribution to journal › Journal article › Research › peer-review

  10. 2021
  11. Published

    Absolute and Relative Pose Estimation in Refractive Multi View

    Hu, X., Lauze, Francois Bernard, Steenstrup Pedersen, Kim & Melou, J., 2021, Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW). IEEE, p. 2569-2578

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  12. Published

    Bundle Geodesic Convolutional Neural Network for DWI Segmentation from Single Scan Learning

    Liu, Renfei, Lauze, Francois Bernard, Erleben, Kenny & Darkner, Sune, 2021, Computational Diffusion MRI - 12th International Workshop, CDMRI 2021, Held in Conjunction with MICCAI 2021, Proceedings. Cetin-Karayumak, S., Christiaens, D., Figini, M., Guevara, P., Gyori, N., Nath, V. & Pieciak, T. (eds.). Springer, p. 121-132 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 13006 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  13. Published

    First Order Locally Orderless Registration

    Darkner, Sune, Vidarte, J. D. T. & Lauze, Francois Bernard, 2021, Scale Space and Variational Methods in Computer Vision - 8th International Conference, SSVM 2021, Proceedings. Elmoataz, A., Fadili, J., Quéau, Y., Rabin, J. & Simon, L. (eds.). Springer, p. 177-188 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 12679 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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