PURRlab @ IT University of Copenhagen
Pattern Recognition Revisited
About
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.
News
| Jun 17, 2024 | Veronika, Théo (oral presentation + poster on Friday!), Ralf and Yucheng will be attending MIDL 2024 in Paris. Come and say hello! |
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| May 02, 2024 | Théo’s paper on citation practices was accepted at MIDL! |
| Mar 14, 2024 | We have another new preprint to share, this time on model robustness in transfer learning. |
| Feb 15, 2024 | Two new preprints are out, on citation practices and sharing datasets on community platforms, both about medical imaging datasets. |
| Jan 31, 2024 | Several of us will be at the D3A conference, presenting posters about shortcuts, robustness in transfer learning, and citations of medical imaging datasets. Please stop by if you are interested in our work! |
| Dec 01, 2023 | Yucheng Lu joins us as a postdoctoral researcher, welcome Yucheng! |
| Oct 09, 2023 | Théo Sourget now joins us as a research assistant, welcome Théo! |
Selected publications
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arXiv preprint arXiv:2403.04484, 2024 -
arXiv preprint arXiv:2402.03003, 2024 -
Transactions on Machine Learning Research, 2023 -
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NPJ Digital Medicine, 2022 -
arXiv preprint arXiv:2107.12734, 2021
