Francois Bernard Lauze
Lektor
Image Analysis, Computational Modelling and Geometry
Universitetsparken 1
2100 København Ø
- 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
- 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. 1-11Publikation: Bidrag til tidsskrift › Konferenceartikel › Forskning
- 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
- 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
- Udgivet
- 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
- 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
- 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
- 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
- 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
ID: 5826963
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Distribution, size, shape, growth potential and extent of abdominal aortic calcified deposits predict mortality in postmenopausal women
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Automatic correction of dental artifacts in PET/MRI
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Dental artifacts in the head and neck region: implications for Dixon-based attenuation correction in PET/MR
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