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
| Oct 03, 2024 | Our work “Copycats: the many lives of a publicly available medical imaging dataset” has been accepted at NeurIPS 2024 Datasets and Benchmarks Track! |
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| Oct 02, 2024 | Several of us will be attending the second edition of the D3A conference on 22/23 October in Nyborg, please stop by the poster session to see our recent work. |
| Jun 17, 2024 | Veronika, Théo (oral presentation + poster on Friday!), Ralf and Yucheng will be attending MIDL 2024 in Paris. Come and say hello! |
| 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! |
Selected publications
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arXiv preprint arXiv:2407.17543, 2024 -
arXiv preprint arXiv:2403.04484, 2024 -
In Medical Imaging with Deep Learning , 2024 -
In The Thirty-eight Conference on Neural Information Processing Systems Datasets and Benchmarks Track , 2024 -
arXiv preprint arXiv:2407.11379, 2024 -
Transactions on Machine Learning Research, 2023 -
arXiv preprint arXiv:2309.02244, 2023 -
NPJ Digital Medicine, 2022 -
MELBA (Machine Learning for Biomedical Imaging), 2021
