Full participation in the summer school will give you 3.0 ECTS credits. This includes bringing a poster to the summer school, participating in all the exercise sessions and lectures, and giving a short group presentation on the results from the exercises.
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 Janus N. Jensen, 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 2019). 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 following posters will be presented at the summer school. 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.
- Andreas Lauritzen, Mammography-based Breast Cancer Risk Prediction
- Anton Mallasto, Approximating the Wassersten Metric in GANs
- Hans Stephensen, Distance Map Based Analysis of Organelle Distributions
- Florian Gawrilowicz, A Diverse Real-World Dataset for Training and Evaluation on 3D Pointclouds
- Jakeoung Koo, Deformable Meshes for Tomographic Reconstruction and Segmentation
- Jakob Slipsager, Clinical Implementation of Fast Markerless Motion Correction in K-Space of Structural 3D MR Images of the Brain
- Jeppe Thagaard, Generating Single-cell Microscopy Images from the Human Protein Atlas
- Jose Vidarte, Accuracy of Deformable Image Registration in Radiotherapy for Liver Cancer
- Josefine Sundgaard, Multi-planar heart segmentation of 3D CT images with 2D spatial propagation CNN
- Julian Zimmert, An Optimal Algorithm for Stochastic and Adversarial Bandits
- Kasra Arnavaz, Segmentation of Tubular Networks in Pancreas
- Mads Doest, Quality Evaluation of Surface Embedded Micro-Structures in Injection Moulded Parts
- Mariam Andersson, Linking Brain Tissue Capturing Modalities: Ultra-high Resolution Synchrotron Imaging and Low Resolution MRI
- Mathias Jensen, Simulation of Conditioned Diffusions on the Flat Torus
- Mathias Perslev, One Network to Segment Them All - A General, Lightweight System for Accurate 3D Medical Image Segmentation
- Patrick Jensen, Segmentation of Sparse Volumetric Images with Non-Overlapping Surfaces
- Pernille Hansen, CLT and Smeariness for Means on Riemannian Manifolds
- Rasmus Jørgensen, Accounting Financial Transactions Across Companies and Corporate Sectors
- Ricardo Cruz, Active Supervision
- Sayantan Sengupta, EelDetect: Unsupervised detection and quantification of eelgrass from under water videos
- Simon Madsen, Using Semi-supervised GANs to Disentangle Information in Artificial Images of Plant Seedlings (Preliminary results)
- Søren Skovsen, (Best Poster Award) Style Transfer for Feature Space Distribution Matching Across Data Sources
- Tobias Thune, Nonstochastic Multiarmed Bandits with Unrestricted Delays