Dovile Juodelyte
Dovile is 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. Currently, she is working on the project ‘CATS - Choosing a Transfer Source for Medical Image Classification’. 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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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 -
Transactions on Machine Learning Research, 2023 -
arXiv preprint arXiv:2309.02244, 2023 -
arXiv preprint arXiv:2203.03259, 2022
