Explore projects

This collection contains the code used to analyze the data that supports the findings from the following publication:

Qianliang Li, Maya Coulson Theodorsen, Ivana Konvalinka, Kasper Eskelund, Karen-Inge Karstoft, Søren Bo Andersen and Tobias S Andersen. Resting-state EEG functional connectivity predicts post-traumatic stress disorder subtypes in veterans. Journal of Neural Engineering, 2022 (https://doi.org/10.1088/1741-2552/ac9aaf).

DTU course management

Easy-to-use, easy-to-build report evaluations in a framework building on pythons unittest classes

This project contains a small program with user interface implementing the drift correction method for image stack containing near spherical objects as described in Stephensen et. al. Communications biology 3.1 (2020)

A MATLAB TOOLBOX FOR OPTIMIZATION AND DATA FITTING by Hans Bruun Nielsen

Official homepage: http://www2.imm.dtu.dk/projects/immoptibox/

Test

Scripts used for start-ups and wrap-ups, to be shared with the students.

Notebook examples of layered surface segmentation.

Training code for https://github.com/rcdaudt/fully_convolutional_change_detection

On uncertainty estimation in active learning for image segmentation code

The python code used for the numerical examples in the paper "Reconstructing anisotropic conductivities on two-dimensional Riemannian manifolds from power densities". A preprint of this paper is available on arXiv: https://arxiv.org/abs/2202.12056.

The Beamline streaming process mining framework