PURRlab @ IT University of Copenhagen
Pattern Recognition Revisited
PURRLab research interests lie within the broad area of trustworthy machine learning and its applications to medical imaging with a focus on datasets. We are particularly interested in understanding the similarity and diversity of datasets, methods for learning with limited labeled data such as transfer learning, and meta-research on machine learning in medical imaging.
The best way to get a sense of what’s currently going on in the lab is to read about our people and projects.
PURRLab is a part of DASYA research group in the department of Computer Science at the IT University of Copenhagen. and is led by Veronika Cheplygina.
PURRLab research is being supported by the Dutch Research Council, Novo Nordisk Foundation and the Independent Research Council of Denmark.
|Aug 1, 2022||Amelia joins the lab!|
|Jan 1, 2022||Bethany and Dovile join PURRlab!|
|Feb 1, 2021||PURRlab moves to ITU Copenhagen, Denmark!|
- Machine learning for medical imaging: methodological failures and recommendations for the futureNPJ Digital Medicine 2022
- ENHANCE (ENriching Health data by ANnotations of Crowd and Experts): A case study for skin lesion classificationarXiv preprint arXiv:2107.12734 2021
- Detecting Shortcuts in Medical Images – A Case Study in Chest X-rays2022
- Cats or CAT scans: Transfer learning from natural or medical image source data sets?Current Opinion in Biomedical Engineering 2019