Search Results for author: Vedrana A. Dahl

Found 6 papers, 2 papers with code

Deep Active Latent Surfaces for Medical Geometries

no code implementations21 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.

Review of Serial and Parallel Min-Cut/Max-Flow Algorithms for Computer Vision

1 code implementation1 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.

Image-Based Alignment of 3D Scans

no code implementations14 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.

Object

Faster Multi-Object Segmentation Using Parallel Quadratic Pseudo-Boolean Optimization

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.

Image Segmentation Segmentation +1

Shape from Projections via Differentiable Forward Projector for Computed Tomography

1 code implementation29 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.

Electron Tomography

Dictionary-based Method for Vascular Segmentation for OCTA Images

no code implementations10 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.

Segmentation

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