Francois Bernard Lauze

Francois Bernard Lauze

Lektor

ORCID: 0000-0003-2503-6475

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  1. Udgivet

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

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

    Publikation: Konferencebidrag › Konferenceabstrakt til konference › Forskning › fagfællebedømt

  2. Udgivet

    Group Convolutional Neural Networks for DWI Segmentation

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

    Publikation: Bidrag til tidsskrift › Konferenceartikel › Forskning

  3. Udgivet

    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. (red.). Springer, s. 121-132 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 13006 LNCS).

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  4. Udgivet

    Bundle geodesic convolutional neural network for diffusion-weighted imaging segmentation

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

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  5. Udgivet

    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 s.

    Publikation: Working paper › Preprint › Forskning

  6. Udgivet

    Supervised scale-regularized linear convolutionary filters

    Loog, M. & Lauze, Francois Bernard, jul. 2017, Proceedings of BMVC 2017. British Machine Vision Conference, 12 s.

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  7. Udgivet

    The improbability of Harris interest points

    Loog, M. & Lauze, Francois Bernard, 2010, I: IEEE Transaction on Pattern Analysis and Machine Intelligence. 32, 6, s. 1141-1147 7 s.

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  8. Udgivet

    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 s.

    Publikation: Working paper › Preprint › Forskning

  9. Udgivet

    Distribution, size, shape, growth potential and extent of abdominal aortic calcified deposits predict mortality in postmenopausal women

    Nielsen, Mads, Ganz, Melanie, Lauze, Francois Bernard, Pettersen, P. C., de Bruijne, Marleen, Clarkson, T. B., Dam, E. B., Christiansen, C. & Karsdal, M. A., 2010, I: BMC Cardiovascular Disorders. 10, 10 s., 56.

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  10. Udgivet

    Deep feature learning for knee cartilage segmentation using a triplanar convolutional neural network

    Prasoon, A., Petersen, P. K., Igel, Christian, Lauze, Francois Bernard, Dam, Erik Bjørnager & Nielsen, Mads, 2013, Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013: 16th International Conference, Nagoya, Japan, September 22-26, 2013, Proceedings, Part II. Mori, K., Sakuma, I., Sato, Y., Barillot, C. & Navab, N. (red.). Springer, s. 246-253 8 s. (Lecture notes in computer science, Bind 8150).

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

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