Multiple instance learning: A survey of problem characteristics and applications
2017 · Pattern Recognition · 701 citations
https://doi.org/10.1016/j.patcog.2017.10.009
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Veronika Cheplygina
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Veronika Cheplygina is an academic researcher from IT University of Copenhagen. The author has contributed to research in topics: Radiomics and Machine Learning in Medical Imaging & AI in cancer detection & Artificial Intelligence in Healthcare and Education. The author has an h-index of 24, co-authored 106 publications.
ORCID: 0000-0003-0176-9324Papers by this author
worksMachine learning for medical imaging: methodological failures and recommendations for the future
2022 · npj Digital Medicine · 538 citations
https://doi.org/10.1038/s41746-022-00592-y
Metrics reloaded: recommendations for image analysis validation
2024 · Nature Methods · 351 citations
https://doi.org/10.1038/s41592-023-02151-z
Understanding metric-related pitfalls in image analysis validation
2024 · Nature Methods · 156 citations
https://doi.org/10.1038/s41592-023-02150-0
High-level prior-based loss functions for medical image segmentation: A survey
2021 · Computer Vision and Image Understanding · 100 citations
https://doi.org/10.1016/j.cviu.2021.103248
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