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3D Effects on 2D Resistivity Imaging – Modelling and Field Surveying Results

Nanowires in Cell Biology

This thesis explores the interactions between cells and nanowires, to increase our understanding of how cells are affected and how they can be manipulated by these one-dimensional, semiconductor crystals (lengths 1-10 µm, diameters

The impact of PET and SPECT on dosimetry for targeted radionuclide therapy

Assessment of Achievable Performance of Simple Feedback Loops

Health issues, housing and societal support in very old age in Latvia.

krAft – A Swedish Hubs and Spokes Network in Business Development Programmes

Explaining artificial neural network ensembles: A case study with electrocardiograms from chest pain patients

Artificial neural networks is one of the most commonly used machine learning algorithms in medical applications. However, they are still not used in practice in the clinics partly due to their lack of explanatory capacity. We compare two case-based explanation methods to two trained physicians on analysis of electrocardiogram (ECG) data from patients with a suspected acute coronary syndrome (ACS).