Francois Bernard Lauze

Francois Bernard Lauze

Associate Professor


  1. Published

    LED-based Photometric Stereo: Modeling, Calibration and Numerical Solutions

    Quéau, Y., Durix, B., Wu, T., Cremers, D., Lauze, Francois Bernard & Durou, J., 2018, In: Journal of Mathematical Imaging and Vision. 60, 3, p. 313-340

    Research output: Contribution to journalJournal articleResearchpeer-review

  2. Published

    Solving the uncalibrated photometric stereo problem using total variation

    Quéau, Y., Lauze, Francois Bernard & Durou, J., 2013, Scale Space and Variational Methods in Computer Vision: 4th International Conference, SSVM 2013, Schloss Seggau, Leibnitz, Austria, June 2-6, 2013. Proceedings. Kuijper, A., Bredies, K., Pock, T. & Bischof, H. (eds.). Springer, p. 270-281 12 p. (Lecture notes in computer science, Vol. 7893).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  3. Published

    A Variational Method for Automatic Localization of the most Pathological ROI

    Qazi, A. A., Dam, E., Loog, M., Nielsen, Mads, Lauze, Francois Bernard & Christiansen, C., 2008, Medical Imaging 2008: Image processing, Conference Proceedings. Reinhardt, J. M. & Pluim, J. P. W. (eds.). SPIE - International Society for Optical Engineering, p. Article 69140T 9 p. (Proceedings of SPIE; No. 6914).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  4. Published

    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. (eds.). Springer, p. 246-253 8 p. (Lecture notes in computer science, Vol. 8150).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  5. Published

    Cascaded classifier for large-scale data applied to automatic segmentation of articular cartilage

    Prasoon, A., Igel, Christian, Loog, M., Lauze, Francois Bernard, Dam, E. & Nielsen, Mads, 2012, Medical Imaging 2012: Image Processing. Haynor, D. R. & Ourselin, S. (eds.). SPIE - International Society for Optical Engineering, Vol. 8314. 9 p. 83144V. (SPIE Proceedings, Vol. 8314).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  6. Published

    Femoral cartilage segmentation in knee MRI scans using two stage voxel classification

    Prasoon, A., Igel, Christian, Loog, M., Lauze, Francois Bernard, Dam, E. & Nielsen, Mads, 2013, 35th Annual International Conference of the IEEE; Engineering in Medicine and Biology Society (EMBC), 2013. IEEE, p. 5469-5472 4 p.

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  7. Published

    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, In: BMC Cardiovascular Disorders. 10, 10 p., 56.

    Research output: Contribution to journalJournal articleResearchpeer-review

  8. Published
  9. Published

    Supervised scale-regularized linear convolutionary filters

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

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  10. Published

    The improbability of Harris interest points

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

    Research output: Contribution to journalJournal articleResearchpeer-review

ID: 5826963