Submitted Posters
- “Towards Autonomous Plant Production using Fully Convolutional Neural Networks”
– by Peter Chrstiansen, Aarhus University
(see teaser here) - “Assessment of Small Bowel Motility with Dynamic MRI”
– by Esben Bolvig Mark, Aalborg University Hospital
(see teaser here) - “Image segmentation of x-ray microtomography of highly porous media – a work in progress”
– by Jacob Daniel Kirstejn Hansen, University of Copenhagen
(see teaser here) - “SimpleElastix: A user-friendly, multi-lingual library for medical image registration”
– by Kasper Marstal, Erasmus Medical Center Rotterdam
(see teaser here) - “Regression on Manifolds”
– by Line Kühnel, University of Copenhagen
(see teaser here) - “Simultaneous brain tumor and organs-at-risk segmentation for radiotherapy”
– by Mikael Agn, Technical University of Denmark
(see teaser here) - “3D Methods of Security X-rayScreening”
– by Mina Kheirabadi, Technical University of Denmark
(see teaser here) - “Identifying patient group characteristics using hospital diagnosis records”
– by Niels Dalum Hansen, University of Copenhagen
(see teaser here) - “Travelling Optical Scanner – Casse Study on Brazilian Skulls”
– by Dolores Messer, Technical University of Denmark
(see teaser here) - “Merged 3D volume of optic nerve head using transfinite interpolation”
– by Anne-Sofie W. Lindberg, Technical University of Denmark
(see teasere here) - “Auxiliary Deep Generative Models”
– by Lars Maaløe, Technical University of Denmark
(see teaser here) - “Investigating Machine Learning for Monte-Carlo noise removal in rendered images”
– by Andrea Luongo, Technical University of Denmark
(see teaser here) - “Conv. Network for Segmentation of Mixed Crops”
– by Anders Krogh Mortensen, Aarhus University
(see teaser here) - “Door Recognition and Handle Detection Using Convolutional Neural Nets”
– by Adrian Llopart Maurin, Technical University of Denmark
(see teaser here) - “Segmentation of Human Semen using Convolutional Neural Networks”
– by Malte S. Nissen, University of Copenhagen
(see teaser here) - “Strain Mapping in HRTEM Images”
– by Jacob Madsen, Technical University of Denmark
(see teaser here) - “Smartphone-based monitoring and treatment of unipolar and bipolar disorder”
– by Jonas Busk, Technical University of Denmark
(see teaser here) - “Probabilistic model based iterative CT”
– by Jonathan Scharff Nielsen, Technical University of Denmark
(see teaser here) - “Multi-phase Image Segmentation with the Adaptive Deformable Mesh”
– by Tuan T. Nguyen, Technical University of Denmark
(see teaser here) - “Correcting a Confused Classifier”
– by Kristoffer Stensbo-Smidt, University of Copenhagen
(see teaser here) - “Active Detection from Adaptive Representation of High Resolution Images”
– by Mathieu Laroze, IRISA-UBS and WIPSEA
(see teaser here) - “Detection of Prostate Cancer on mpMRI Using Intensity, Gradient and Histogram Features”
– by Carina Jensen, Aalborg University Hospital
(see teaser here) - “Interactive Texture GUI for semi-supervised feature detection”
– by Monica J. Emerson
(see teaser here) - “A special limited-angle tomographic problem”
– by Leise Borg, University of Copenhagen
(see teaser here) - “RADIOGENOMICS learning GENOMIC CLASSES based on IMAGE FEATURES”
– by Esther Alberts, Technische Universität München
(see teaser here) - “Multiple Hypothesis Tracking Based Extraction of Airway Trees from CT Data”
– by Raghavendra Selvan, University of Copenhagen
(see teaser here) - “Inferring behavioural changes from smartphones”
– by Simon Kamronn, Technical University of Denmark
(see teaser here) - “Semi-supervised Sparse LDA”
– by Gudmundur Einarsson, Technical University of Denmark
(see teaser here) - “An upcoming Study: Semi-Supervised Learning in EEG-Based Epileptiform Pattern Detection”
– by Sirin W. Gangstad, HypoSafe A/S, Denmark
(see teaser here) - “Objective Colonoscopy Evaluation”
– by David Norsk, Technical University of Denmark
(see teaser here) - “Measuring BRDFs with multipurpose hardware”
– by Rasmus A. Lyngby, Technical University of Denmark
(see teaser here) - “Designing for Color In Additive Manufacturing”
– by Eybor Rúnar Eiríksson, Technical University of Denmark
(see teaser here) - “A Method for Digitizing Scenes with Complex Objects”
– by Jonathan Dyssel Stets, Technical University of Denmark
(see teaser here) - “Deep Learning for Invoice Information Extraction”
– by Rasmus Berg Palm, Technical University of Denmark
(see teaser here) - “A probabilistic model for segmenting EEG into microstates”
– by Frans Zdyb, Technical University of Denmark
(see teaser here) - “Locally Orderless Registration for Diffusion Weighted Images”
– by Henrik Grønholt Jensen, University of Copenhagen
(see teaser here)
Instructions
Full participation in the summer school will give you 3.0 ECTS credits if you 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.
- Presenting your poster at a designated poster session.
You must print and bring the poster yourself.
Please send an email to Henrik Grønholt Jensen (henne@di.ku.dk) with the poster title, your poster (PDF format) and 1-2 teaser slides (PDF format) no later than August 1st (please include “poster summer school” in the subject). The poster will be put on the homepage and the poster teasers will be compiled and made ready for the summer school.