• 191 Citaties
20142020

Research output per year

Als u wijzigingen in Pure hebt gemaakt, zullen deze hier binnenkort zichtbaar zijn.

Persoonlijk profiel

Quote

There is information in negative results - not only of algorithms, but also unsuccessful papers, grants or attempts at work-life balance. We could all learn from sharing such failures with each other.

Research profile

Veronika Cheplygina is an assistant professor at the research group Medical Image Analysis of the department of Biomedical Engineering at Eindhoven University of Technology.  She works on machine learning algorithms for medical image analysis, such as in detecting the chronic lung disease COPD in chest computed tomography scans. Her research also concerns more general aspects of machine learning, such as multiple instance learning, transfer learning, learning with similarities and learning from crowdsourced labels.

Academic background

Veronika Cheplygina studied Media & Knowledge Engineering at Delft University of Technology, where she obtained her MSc in 2010. She then started PhD research at the Pattern Recognition Laboratory of the same university and obtained her doctorate in 2015 with her thesis "Dissimilarity-Based Multiple Instance Learning". In 2013, she was a Visiting Researcher at the Machine Learning and Computational Biology group at MPI Intelligent Systems, Tübingen, Germany. In 2015 and 2016, she was a postdoctoral researcher at the Biomedical Imaging Group Rotterdam (The Netherlands, part of the Erasmus Medical Center). In 2017, she was appointed assistant professor at the Medical Image Analysis group of Eindhoven University of Technology (TU/e, The Netherlands).

Vingerafdruk Verdiep u in de onderzoeksgebieden waarop Veronika Cheplygina actief is. Deze onderwerplabels komen uit het werk van deze persoon. Samen vormen ze een unieke vingerafdruk.

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Onderzoeksoutput

Effective self-management for early career researchers in the natural and life sciences

OHBM Student and Postdoc Special Interest Group, 22 apr 2020, In : Neuron. 106, 2, blz. 212-217 6 blz.

Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademicpeer review

  • Risk of Training Diagnostic Algorithms on Data with Demographic Bias

    Abbasi-Sureshjani, S., Raumanns, R., Michels, B. E. J., Schouten, G. & Cheplygina, V., 20 mei 2020, In : arXiv.

    Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademic

    Bestand

    Ten simple rules for getting started on Twitter as a scientist

    Cheplygina, V., Hermans, F., Albers, C., Bielczyk, N. & Smeets, I., 1 feb 2020, In : PLoS Computational Biology. 16, 2, 9 blz., e1007513.

    Onderzoeksoutput: Bijdrage aan tijdschriftEditorialAcademicpeer review

    Open Access
    Bestand
    17 Downloads (Pure)

    A survey of crowdsourcing in medical image analysis

    Ørting, S., Doyle, A., Hirth, M., van Hilten, A., Inel, O., Madan, C. R., Mavridis, P., Spiers, H. & Cheplygina, V., 25 feb 2019, In : arXiv. 12 blz., 1902.09159.

    Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademic

    Open Access
    Bestand
  • Cats or CAT scans: transfer learning from natural or medical image source data sets?

    Cheplygina, V., mrt 2019, In : Current Opinion in Biomedical Engineering. 9, blz. 21-27 7 blz.

    Onderzoeksoutput: Bijdrage aan tijdschriftArtikel recenserenAcademicpeer review

    Open Access
    Bestand
  • 3 Citaten (Scopus)
    33 Downloads (Pure)

    Cursussen

    Knipsels

    Seven Women Forging the Future of Healthcare With AI

    Veronika Cheplygina

    16/03/18

    1 item van Media-aandacht

    Pers / media: Vakinhoudelijk commentaar

    Six Women Forging the Future of Healthcare With AI

    Veronika Cheplygina

    16/03/18

    1 item van Media-aandacht

    Pers / media: Vakinhoudelijk commentaar

    Crowdsourcing for Medical Image Analysis wins Lorentz-eScience workshop competition ...

    V. Cheplygina

    7/08/17

    1 item van Media-aandacht

    Pers / media: Vakinhoudelijk commentaar

    Scriptie

    A computational biology framework: a data analysis tool to support biomedical engineers in their research

    Auteur: Beishuizen, T., 29 nov 2018

    Begeleider: Bosnacki, D. (Afstudeerdocent 1), Cheplygina, V. (Afstudeerdocent 2), Hilbers, P. (Afstudeerdocent 2), Fletcher, G. (Afstudeerdocent 2) & Vanschoren, J. (Afstudeerdocent 2)

    Scriptie/masterproef: Master

    Mapping the homunculus in sensorimotor cortex using fMRI

    Auteur: Bakker, C., 28 sep 2017

    Begeleider: Pluim, J. (Afstudeerdocent 1), Cheplygina, V. (Afstudeerdocent 2), Markvoort, A. (Afstudeerdocent 2) & Schellekens, W. (Externe persoon) (Externe coach)

    Scriptie/masterproef: Master

    Meta-learning for medical image segmentation

    Auteur: van Sonsbeek, T., 19 dec 2019

    Begeleider: Cheplygina, V. (Afstudeerdocent 1), Pluim, J. P. (Afstudeerdocent 2) & van Riel, N. A. (Afstudeerdocent 2)

    Scriptie/masterproef: Master

    Primary tumor origin classification of lung nodules in spectral CT using transfer learning

    Auteur: Hesse, L., 20 jun 2019

    Begeleider: Pluim, J. (Afstudeerdocent 1), de Jong, P. A. (Externe persoon) (Externe coach), Cheplygina, V. (Afstudeerdocent 2) & Eduati, F. (Afstudeerdocent 2)

    Scriptie/masterproef: Master

    Re-referencing methods for high-density electrocorticographic signals: evaluating alternatives of common average re-referencing

    Auteur: Pilmeyer, J., 29 nov 2018

    Begeleider: Pluim, J. (Afstudeerdocent 1), Cheplygina, V. (Afstudeerdocent 2), Eduati, F. (Afstudeerdocent 2), Freudenburg, Z. (Externe persoon) (Externe coach) & Branco, M. (Externe persoon) (Externe coach)

    Scriptie/masterproef: Master