12 citations · 12 across the 5 of their papers we have counts for
7 papers
What Should a Software Team Spend on Agents? Simulation-Based Cost Optimization of Mixed AI-Human Teams
Steffen Herbold
Context: AI agents are rapidly adopted in software development, but their token costs are rising and it is unclear how much a team should spend on agents, and on which tasks. Objec…
Iron Oxide Nanoparticles as a Contrast Agent for Synchrotron Imaging of Sperm
Mette Bjerg Lindhøj, Susan Rudd Cooper, Andy S. Anker +7
Fast phase-contrast imaging offered by modern synchrotron facilities opens the possibility of imaging dynamic processes of biological material such as cells. Cells are mainly compo…
Morphology on categorical distributions
Silas Nyboe Ørting, Hans Jacob Teglbjærg Stephensen, Jon Sporring
The categorical distribution is a natural representation of uncertainty in multi-class segmentations. In the two-class case the categorical distribution reduces to the Bernoulli di…
Measuring shape relations using r-parallel sets
Hans JT Stephensen, Anne Marie Svane, Carlos Benitez +2
Geometrical measurements of biological objects form the basis of many quantitative analyses. Hausdorff measures such as the volume and the area of objects are simple and popular de…
Generalizations of Ripley's K-function with Application to Space Curves
Jon Sporring, Rasmus Waagepetersen, Stefan Sommer
The intensity function and Ripley's K-function have been used extensively in the literature to describe the first and second moment structure of spatial point sets. This has many a…
A Highly Accurate Model Based Registration Method for FIB-SEM Images of Neurons
Hans Jacob Teglbjærg Stephensen, Sune Darkner, Jon Sporring
Focused Ion Beam Scanning Electron Microscope (FIB-SEM) imaging is a technique that image materials section-by-section at nano-resolution, e.g.,5 nanometer width voxels. FIB-SEM is…
Maximum A Posteriori Covariance Estimation Using a Power Inverse Wishart Prior
Søren Feodor Nielsen, Jon Sporring
The estimation of the covariance matrix is an initial step in many multivariate statistical methods such as principal components analysis and factor analysis, but in many practical…