Full participation in the summer school will give you 3.0 ECTS credits. Full participation requires the student to present a poster at the summer school. This includes:
- Bringing a poster (relevant to the summer school topic, preferably). Max. dimensions are 88cm wide x 126cm tall (A0 portrait).
- A poster teaser (1-2 slides, 1 minute) at the summer school. Rehearse to make sure you are within the time limit.
- Presenting your poster at a designated poster session.
The student is responsible for printing and bringing the poster. There is no poster printing available at the summer school location.
Please send an email to Gudmundur Einarsson, firstname.lastname@example.org, with the poster title, your poster (PDF format) and 1-2 teaser slides (PDF format) no later than August 1st (The subject should be poster summer school 2018). The poster will be put on the homepage and the poster teasers will be compiled and made ready for the summer school. A prize will we awarded for the best poster!
The students are expected to go through some preparation before the summer school. For now we recommend the introduction of the CVX book for those that want to brush up on the basics. In particular look at the following: chapters 2.1-2.3 (pp. 21-42), 3.1-3.2 (pp. 67-90), and 4.1-4.2 (pp. 127-146).
The following posters will be presented at the summer school. Here are the teasers compiled into a single presentation. The order of the teaser slides is the same as for the posters below below, where the first author is listed, in case of multiple authors. Please line up for the teasers, so others do not have to wait.
- Andrey Zhylka, Tracking of nerve fibres in brain tumour patients.
- Anton Mallasto, (Award for best poster), Wrapped Gaussian Process Regression on Riemannian Manifolds).
- Azat Slyamov, Optimization for multi-scale 3D reconstruction of ptychographic X-ray tomography data.
- Elise Brenne, Physical Model Based Segmentation.
- Hans Stephensen, Correcting Drifted FIB-SEM Images using a Model-Based Registration Approach.
- Jakeoung Koo, Direct Segmentation from Projections.
- Jacob Hansen, Multiphase Local Mean Geodesic Active Regions.
- Jonathan Nielsen, Tuning the hyperparameters in an MR patch-based CT metal artifact reduction algorithm.
- Julian Zimmert, An Optimal Algorithm for Stochastic and Adverserial Bandits.
- Line Kühnel, Modelling Time Evolution of Medical Images.
- Mareike Hartmann, Limitations of cross-lingual learning from image search.
- Mariana Lucas, Multigrain crystallography: Indexing algorithms for multiphase polycrystalline Cu2ZnSnS4 solar cells.
- Martin Nørgaard, Optimization of Preprocessing Strategies in Positron Emission Tomography (PET): A 11CDASB PET Study.
- Mette Mortensen, Saving the Human Race.
- Michael Sørensen, Reconstructing images from in situ small angle x-ray scattering experiments.
- Morten Hannemose, Direct Surface Reconstruction for Structured Light.
- Nicki Detlefsen, Deep Diffeomorphic Transformer Networks.
- Raghavendra Selvan, Extraction of Airways using Graph Neural Networks.
- Rune Nielsen, Explicit Modeling of Singularities in Deformable Registration.
- Silas Ørting, Feature Learning Based on Visual Similarity Triplets in Medical Image Analysis.
- Simon Madsen, Producing Artificial Data Samples Using Generative Adversarial Networks.
- Søren Skovsen, Mapping of Clover Grass Leys Using Image Recognition.
- Tobias Thune, Adapting to Easy Data in Prediction with Limited Advice.
- Utku Ozbulak, Perturbation Analysis of Adversarial Attacks in the Spatial Domain.
- Viggo Falster, Embedded Information in Surfaces.