Francois Bernard Lauze

Francois Bernard Lauze

Associate Professor

ORCID: 0000-0003-2503-6475

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  1. 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

  2. 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

  3. 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

  4. 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

  5. Published

    Streamlet Tractography

    Liptrot, M. G., Darkner, Sune, Feragen, A. & Lauze, Francois Bernard, Apr 2017.

    Research output: Contribution to conference › Conference abstract for conference › Research › peer-review

  6. Published

    Rotationally invariant clustering of diffusion MRI data using spherical harmonics

    Liptrot, M. G. & Lauze, Francois Bernard, 2016, Medical Imaging 2016: Image Processing. SPIE - International Society for Optical Engineering, Vol. 1. 7 p. 97843C. (Progress in Biomedical Optics and Imaging; No. 39, Vol. 17).

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

  7. Published

    Assessment of rotationally-invariant clustering using streamlet tractography

    Liptrot, M. G. & Lauze, Francois Bernard, 2016.

    Research output: Contribution to conference › Conference abstract for conference › Research › peer-review

  8. Published

    A model-free unsupervised method to cluster brain tissue directly From DWI volumes

    Liptrot, M. G. & Lauze, Francois Bernard, 2014. 1 p.

    Research output: Contribution to conference › Conference abstract for conference › Research › peer-review

  9. Published

    Preface

    Lauze, Francois Bernard, Dong, Y. & Dahl, A. B., 2017, 6th International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2017, Kolding, 4 June 2017 - 8 June 2017. Springer, p. V-VI (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 10302 LNCS).

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

  10. Published

    Simultaneous reconstruction and segmentation of CT scans with shadowed data

    Lauze, Francois Bernard, Quéau, Y. & Plenge, E., Jun 2017, Scale Space and Variational Methods in Computer Vision: 6th International Conference, SSVM 2017, Kolding, Denmark, June 4-8, 2017, Proceedings. Lauze, F., Dong, Y. & Dahl, A. B. (eds.). Springer, p. 308-319 12 p. (Lecture notes in computer science, Vol. 10302).

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

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