Publications

2026

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    Veronika Cheplygina, Cathrine Damgaard, Trine Naja Eriksen, Dovile Juodelyte, and Amelia Jiménez-Sánchez
    In Medical Image Understanding and Analysis, 2026

2025

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    Théo Sourget, Michelle Hestbek-Møller, Amelia Jiménez-Sánchez, Jack Junchi Xu, and Veronika Cheplygina
    Journal of Imaging Informatics in Medicine, 2025
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    Amelia Jiménez-Sánchez, Natalia-Rozalia Avlona, Sarah Boer, Vı́ctor M. Campello, Aasa Feragen, and 24 more authors
    In Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency, , 2025

2024

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    Dovile Juodelyte, Enzo Ferrante, Yucheng Lu, Prabhant Singh, Joaquin Vanschoren, and 1 more author
    arXiv preprint arXiv:2412.20172, 2024
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    Jannik Elsäßer, Laura Weihl, Veronika Cheplygina, and Lisbeth Tangaa Nielsen
    arXiv preprint arXiv:2412.16147, 2024
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    Evangelia Christodoulou, Annika Reinke, Rola Houhou, Piotr Kalinowski, Selen Erkan, and 6 more authors
    In International Conference on Medical Image Computing and Computer-Assisted Intervention, 2024
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    Ralf Raumanns, Gerard Schouten, Josien PW Pluim, and Veronika Cheplygina
    In Ethics and Fairness in Medical Imaging, 2024
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    Dovile Juodelyte, Yucheng Lu, Amelia Jiménez-Sánchez, Sabrina Bottazzi, Enzo Ferrante, and 1 more author
    International Workshop on Applications of Medical AI (AMAI), 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 Juodelyte, Théo Sourget, Caroline Vang-Larsen, and 3 more authors
    In The Thirty-eight Conference on Neural Information Processing Systems Datasets and Benchmarks Track, 2024

2023

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    In 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 2023

2022

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    Nikolaj Kjøller Bjerregaard, Veronika Cheplygina, and Stefan Heinrich
    arXiv preprint arXiv:2207.03960, 2022
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    Amelia Jiménez-Sánchez, Mickael Tardy, Miguel A González Ballester, Diana Mateus, and Gemma Piella
    Computer Methods and Programs in Biomedicine, 2022

2021

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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
  3. Rosana El Jurdi, Caroline Petitjean, Paul Honeine, Veronika Cheplygina, and Fahed Abdallah
    Computer Vision and Image Understanding, 2021
  4. Veronika Cheplygina, Adria Perez-Rovira, Wieying Kuo, Harm AWM Tiddens, and Marleen Bruijne
    PLoS ONE, 2021

2020

  1. Linde S Hesse, Pim A Jong, Josien PW Pluim, and Veronika Cheplygina
    arXiv preprint arXiv:2006.16633, 2020
  2. Tom Sonsbeek and Veronika Cheplygina
    In Interpretable and Annotation-Efficient Learning for Medical Image Computing (MICCAI LABELS), 2020
  3. 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

2019

  1. Silas Ørting, Andrew Doyle, Arno Hilten, Matthias Hirth, Oana Inel, and 4 more authors
    Human Computation Journal, 2019

2018

  1. Isabel Pino Pena, Veronika Cheplygina, Sofia Paschaloudi, Morten Vuust, Jesper Carl, and 3 more authors
    PLoS ONE, 2018
  2. 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
  3. M.-A. Carbonneau, V. Cheplygina, E. Granger, and G. Gagnon
    Pattern Recognition, 2018
  4. 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

2017

  1. 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

2016

  1. Veronika Cheplygina, David M. J. Tax, and Marco Loog
    IEEE Transactions on Neural Networks and Learning Systems, 2016

2015

  1. Veronika Cheplygina and David M J Tax
    In Similarity-Based Pattern Recognition, 2015
  2. Veronika Cheplygina, David M J Tax, and Marco Loog
    Pattern Recognition Letters, 2015
  3. V. Cheplygina, L. Sørensen, D. M. J. Tax, M. Bruijne, and M. Loog
    In Medical Imaging Computing and Computer Assisted Intervention (MICCAI), 2015
  4. Veronika Cheplygina, David M. J. Tax, and Marco Loog
    Pattern Recognition, 2015