Dovile Juodelyte

Dovile was a PhD Fellow working on transfer learning in medical imaging. She holds a BSc degree in data science from the IT University of Copenhagen. Prior to her transition to data science, she attained a MSc degree in Economics from Vilnius University and worked as a financial analyst. She was working on the project ‘CATS - Choosing a Transfer Source for Medical Image Classification’ and defended her PhD thesis on 14 February 2025. Her research interests lie at the intersection of medical imaging, representation learning, and data science, with a particular focus on understanding the inner workings of transfer learning and generalization.

References

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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
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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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    Dovile JuodelyteYucheng LuAmelia 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 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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    In 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI) , 2023
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    Cathrine Damgaard , Trine Naja Eriksen , Dovile JuodelyteVeronika Cheplygina, and Amelia Jiménez-Sánchez
    arXiv preprint arXiv:2309.02244, 2023