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.
PURRLab is a research group at ITU in the section of Data, Systems, and Robotics at the IT University of Copenhagen and is led by Veronika Cheplygina.
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 research is being supported by the Dutch Research Council, Novo Nordisk Foundation and the Independent Research Council of Denmark.
News
| Apr 14, 2025 | Our work “In the Picture: Medical Imaging Datasets, Artifacts, and their Living Review” has been accepted to ACM FAccT 2025! Amelia and Veronika will be in Athens, come to say hi :) |
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| Apr 01, 2025 | Veronika started her new position as Full Professor at ITU today! Thanks to everyone for the support :) |
| Feb 28, 2025 | New dataset! NEATX: Non-Expert Annotations of Tubes in X-rays, available on Zenodo. |
| Feb 14, 2025 | Dovile Juodelyte is defended her PhD thesis “From Cats to CTs: Cross-Domain Transfer in Medical Image Classification” on 14 February 2025! |
| Feb 01, 2025 | Laura Weihl has joined PURRlab for projects related to underwater image classification! |
| Jan 30, 2025 | New preprint! In the Picture: Medical Imaging Datasets, Artifacts, and their Living Review: a living review that continuously tracks public datasets and their associated research artifacts across multiple medical imaging applications. |
| 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! |
Selected publications
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arXiv preprint arXiv:2501.10727, 2025 -
arXiv preprint arXiv:2412.20172, 2024 -
arXiv preprint arXiv:2412.16147, 2024 -
arXiv preprint arXiv:2412.04030, 2024 -
In Ethics and Fairness in Medical Imaging , 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 -
arXiv preprint arXiv:2309.02244, 2023 -
NPJ Digital Medicine, 2022
