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DTU course management

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

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).

Project for the Graph representation learning summer school (02901 Advanced Topics in Machine Learning course) at the Technical University of Denmark in August 2022.

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.

On uncertainty estimation in active learning for image segmentation code

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