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
- In Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency , 2025
- arXiv preprint arXiv:2412.20172, 2024
- International Workshop on Applications of Medical AI (AMAI), 2024
- In Medical Imaging with Deep Learning , 2024
- In The Thirty-eight Conference on Neural Information Processing Systems Datasets and Benchmarks Track , 2024
- arXiv preprint arXiv:2407.11379, 2024
- In 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI) , 2023
- Transactions on Machine Learning Research, 2023
- arXiv preprint arXiv:2309.02244, 2023
- arXiv preprint arXiv:2203.03259, 2022