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

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    Ralf Raumanns, Gerard Schouten , Josien PW Pluim , and Veronika Cheplygina
    arXiv preprint arXiv:2407.17543, 2024
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    Dovile JuodelyteYucheng LuAmelia Jiménez-Sánchez, Sabrina Bottazzi , Enzo Ferrante , and 1 more author
    arXiv preprint arXiv:2403.04484, 2024
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    Théo Sourget, Ahmet Akkoç , Stinna Winther , Christine Lyngbye Galsgaard , Amelia Jiménez-Sánchez, and 3 more authors
    In Medical Imaging with Deep Learning , 2024
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    Amelia Jiménez-Sánchez, Natalia-Rozalia Avlona , Dovile JuodelyteThéo Sourget, Caroline Vang-Larsen , and 3 more authors
    In The Thirty-eight Conference on Neural Information Processing Systems Datasets and Benchmarks Track , 2024
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    Cathrine Damgaard , Trine Naja Eriksen , Dovile JuodelyteVeronika Cheplygina, and Amelia Jiménez-Sánchez
    arXiv preprint arXiv:2309.02244, 2023
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    Nikolaj Kjøller Bjerregaard , Veronika Cheplygina, and Stefan Heinrich
    arXiv preprint arXiv:2207.03960, 2022
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    Ralf Raumanns, Gerard Schouten , Max Joosten , Josien PW Pluim , and Veronika Cheplygina
    MELBA (Machine Learning for Biomedical Imaging), 2021
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    Irma van den Brandt , Floris Fok , Bas Mulders , Joaquin Vanschoren , and Veronika Cheplygina
    arXiv preprint arXiv:2107.05940, 2021
  9. Rosana El Jurdi , Caroline Petitjean , Paul Honeine , Veronika Cheplygina, and Fahed Abdallah
    Computer Vision and Image Understanding, 2021
  10. Veronika Cheplygina, Adria Perez-Rovira , Wieying Kuo , Harm AWM Tiddens , and Marleen Bruijne
    PLoS ONE, 2021
  11. Linde S Hesse , Pim A Jong , Josien PW Pluim , and Veronika Cheplygina
    arXiv preprint arXiv:2006.16633, 2020
  12. Tom Sonsbeek , and Veronika Cheplygina
    In Interpretable and Annotation-Efficient Learning for Medical Image Computing (MICCAI LABELS) , 2020
  13. Samaneh Abbasi-Sureshjani , Ralf Raumanns, Britt EJ Michels , Gerard Schouten , and Veronika Cheplygina
    In Interpretable and Annotation-Efficient Learning for Medical Image Computing (MICCAI LABELS) , 2020
  14. Silas Ørting , Andrew Doyle , Arno Hilten , Matthias Hirth , Oana Inel , and 4 more authors
    Human Computation Journal, 2019
  15. Isabel Pino Pena , Veronika Cheplygina, Sofia Paschaloudi , Morten Vuust , Jesper Carl , and 3 more authors
    PLoS ONE, 2018
  16. Veronika Cheplygina, and Josien P W Pluim
    In Intravascular Imaging and Computer Assisted Stenting and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis (MICCAI LABELS) , 2018
  17. M.-A. Carbonneau , V. Cheplygina, E. Granger , and G. Gagnon
    Pattern Recognition, 2018
  18. Veronika Cheplygina, Isabel Pino Peña , Jesper Holst Pedersen , David A Lynch , Lauge Sørensen , and 1 more author
    IEEE Journal of Biomedical and Health Informatics, 2018
  19. Veronika Cheplygina, Pim Moeskops , Mitko Veta , Behdad Dasht Bozorg , and Josien Pluim
    In Intravascular Imaging and Computer Assisted Stenting, and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis (MICCAI LABELS) , 2017
  20. Veronika Cheplygina, David M. J. Tax , and Marco Loog
    IEEE Transactions on Neural Networks and Learning Systems, 2016
  21. Veronika Cheplygina, and David M J Tax
    In Similarity-Based Pattern Recognition , 2015
  22. Veronika Cheplygina, David M J Tax , and Marco Loog
    Pattern Recognition Letters, 2015
  23. V. Cheplygina, L. Sørensen , D. M. J. Tax , M. Bruijne , and M. Loog
    In Medical Imaging Computing and Computer Assisted Intervention (MICCAI) , 2015
  24. Veronika Cheplygina, David M. J. Tax , and Marco Loog
    Pattern Recognition, 2015