no code implementations • 21 Jun 2022 • Patrick M. Jensen, Udaranga Wickramasinghe, Anders B. Dahl, Pascal Fua, Vedrana A. Dahl
During training the latent vectors are constrained to have the same value, which avoids overfitting.
1 code implementation • 1 Feb 2022 • Patrick M. Jensen, Niels Jeppesen, Anders B. Dahl, Vedrana A. Dahl
We focus on generic algorithms, i. e., for unstructured graphs, but also compare with the specialized GridCut implementation.
no code implementations • 14 Sep 2021 • Dolores Messer, Jakob Wilm, Eythor R. Eiriksson, Vedrana A. Dahl, Anders B. Dahl
Full 3D scanning can efficiently be obtained using structured light scanning combined with a rotation stage.
no code implementations • ICCV 2021 • Niels Jeppesen, Patrick M. Jensen, Anders N. Christensen, Anders B. Dahl, Vedrana A. Dahl
We introduce a parallel version of the Quadratic Pseudo-Boolean Optimization (QPBO) algorithm for solving binary optimization tasks, such as image segmentation.
1 code implementation • 29 Jun 2020 • Ja-Keoung Koo, Anders B. Dahl, J. Andreas Bærentzen, Qiongyang Chen, Sara Bals, Vedrana A. Dahl
In this paper, we propose a differentiable forward model for 3D meshes that bridge the gap between the forward model for 3D surfaces and optimization.
no code implementations • 10 Feb 2020 • Astrid M. E. Engberg, Vedrana A. Dahl, Anders B. Dahl
Here, we give a detailed description of how the method is applied to OCTA images, and we demonstrate how it robustly labels capillaries and blood vessels and hereby provides the basis for quantifying retinal blood flow.
no code implementations • 21 Nov 2014 • Mitko Veta, Paul J. van Diest, Stefan M. Willems, Haibo Wang, Anant Madabhushi, Angel Cruz-Roa, Fabio Gonzalez, Anders B. L. Larsen, Jacob S. Vestergaard, Anders B. Dahl, Dan C. Cireşan, Jürgen Schmidhuber, Alessandro Giusti, Luca M. Gambardella, F. Boray Tek, Thomas Walter, Ching-Wei Wang, Satoshi Kondo, Bogdan J. Matuszewski, Frederic Precioso, Violet Snell, Josef Kittler, Teofilo E. de Campos, Adnan M. Khan, Nasir M. Rajpoot, Evdokia Arkoumani, Miangela M. Lacle, Max A. Viergever, Josien P. W. Pluim
The proliferative activity of breast tumors, which is routinely estimated by counting of mitotic figures in hematoxylin and eosin stained histology sections, is considered to be one of the most important prognostic markers.