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
| Dec 31, 2024 | Two new preprints are available on Eelgrass Detection and on dataset transferability in medical image classification. It also marks the end of 2024, a great year summarized here! |
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| Dec 06, 2024 | A new preprint on shortcut learning in CNN models for medical imaging is available. |
| Nov 21, 2024 | Veronika and Amelia will be at NeurIPS 2024, come to say hi at WiML workshop and visit our poster on Friday 13 Dec! |
| 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! |
| 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! |
Selected publications
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arXiv preprint arXiv:2412.20172, 2024 -
arXiv preprint arXiv:2412.16147, 2024 -
In International Conference on Medical Image Computing and Computer-Assisted Intervention , 2024 -
arXiv preprint arXiv:2412.04030, 2024 -
arXiv preprint arXiv:2407.17543, 2024 -
International Workshop on Applications of Medical AI (AMAI), 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
