Artificial Intelligence
Medical Imaging
The Medical Image Analysis lab is concerned with the analysis of images for medical purposes. The lab is focused on the quantification of pathological changes through medical imaging biomarkers.
More detailed text about the research being carried out in no more than 800 characters. Include the most important search words in this section. More detailed text about the research being carried out in no more than 800 characters. Include the most important search words in this section.
More detailed text about the research being carried out in no more than 800 characters. Include the most important search words in this section.
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Example 1
We are concerned with using Machine Learning techniques to solve problems in Biology. Currently, our main focus is on obtaining a better understanding of molecular structure, using a combination of techniques ranging from molecular simulation to deep learning. -
Example 2
We focus on modeling and numerical methods for nonlinear statistics, variational problems, and geometry on manifolds and metric spaces. Application areas include 3D tomographic reconstruction, airway trees, brain image and morphological analysis, and functional analysis of imaging data. -
Example 3
We are concerned with the analysis of images for medical purposes. The major applications are neuroimaging, breast cancer screening and pulmonary images. We are focused on the quantification of pathological changes through medical imaging biomarkers.
Current Research Projects
Pancreatic Cancer Surgery Planning (2020-2025)
Novo Nordisk Fonden
Led by Bulat Ibragimov
Typologically Informed Dependency Parsing (2021 – 2023)
Swedish Research Council, International Postdoc
Led by Miryam de Lhoneux
Detecting Gender-Biased Language on Social Media (2020 - 2024)
DFF, Research Project 1 (Thematic Research)
Led by Isabelle Augenstein
Structured Multilinguality for Natural Language Processing (2020 - 2023)
Swedish Research Council, Research Project Grant
Led by Robert Östling (Stockholm University)
Completed Research Projects
Subjective Question Answering (2019 - 2020)
Megagon Labs, Faculty Research Award
Led by Isabelle Augenstein
Platform for analysing and identifying attitudes, credibility and fake news in the political debate (2019 - 2020)
Innovation Fund Denmark, Innobooster
Led by Isabelle Augenstein
ReProsis: Real Time Big Data Product Analysis – Product Management System in International Markets (2016-18)
Research project funded by Eurostars
Led by Dirk Hovy and Isabelle Augenstein
Accessibility Increased through Real-life Multi-lingual Artificial Intelligence (2018 - 2019)
DFF, EUopSTART
Led by Isabelle Augenstein
Towards automated fact checking of claims online (2017 - 2018)
DFF, EUopSTART
Led by Isabelle Augenstein
Natural Language Processing Seminar Series (2018 - 2019)
Centre for Communication and Computing grant
Led by Isabelle Augenstein
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You can present the most important publications here. Include a link to full publication list if possible.
- List of publications
- List of publications
- List of publications
- List of publications
If there are sub projects or work packages you can list them here:
Sub project 1
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Sub project 2
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Sub project 3
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People
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