Veronika Cheplygina
Veronika Cheplygina is an Associate Professor at the IT University of Copenhagen. Her background is in machine learning in general, and based on medical images in particular. She is also thinking about how we do research, and addressing the inefficiencies/inequalities involved. Before ITU, she was faculty member at the Eindhoven University of Technology. Find more info on https://www.veronikach.com
References
- 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
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- arXiv preprint arXiv:2203.03259, 2022
- MELBA (Machine Learning for Biomedical Imaging), 2021
- arXiv preprint arXiv:2107.05940, 2021
- Computer Vision and Image Understanding, 2021
- arXiv preprint arXiv:2006.16633, 2020
- In Interpretable and Annotation-Efficient Learning for Medical Image Computing (MICCAI LABELS) , 2020
- In Interpretable and Annotation-Efficient Learning for Medical Image Computing (MICCAI LABELS) , 2020
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- Current Opinion in Biomedical Engineering, 2019
- Medical Image Analysis, 2019
- In Intravascular Imaging and Computer Assisted Stenting and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis (MICCAI LABELS) , 2018
- Pattern Recognition, 2018
- IEEE Journal of Biomedical and Health Informatics, 2018
- In Intravascular Imaging and Computer Assisted Stenting, and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis (MICCAI LABELS) , 2017
- IEEE Transactions on Neural Networks and Learning Systems, 2016
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- In Medical Imaging Computing and Computer Assisted Intervention (MICCAI) , 2015
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