Dovile Juodelyte

According to our database, Dovile Juodelyte authored at least 8 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Exploring connections of spectral analysis and transfer learning in medical imaging.

Yucheng Lu, Dovile Juodelyte, Jonathan D. Victor, Veronika Cheplygina

CoRR, 2024

Source Matters: Source Dataset Impact on Model Robustness in Medical Imaging.

Dovile Juodelyte, Yucheng Lu, Amelia Jiménez-Sánchez, Sabrina Bottazzi, Enzo Ferrante, Veronika Cheplygina

CoRR, 2024

Towards actionability for open medical imaging datasets: lessons from community-contributed platforms for data management and stewardship.

Amelia Jiménez-Sánchez, Natalia Rozalia Avlona, Dovile Juodelyte, Théo Sourget, Caroline Vang-Larsen, Hubert Dariusz Zajac, Veronika Cheplygina

CoRR, 2024

[Citation needed] Data usage and citation practices in medical imaging conferences.

Théo Sourget, Ahmet Akkoç, Stinna Winther, Christine Lyngbye Galsgaard, Amelia Jiménez-Sánchez, Dovile Juodelyte, Caroline Petitjean, Veronika Cheplygina

CoRR, 2024

2023

Revisiting Hidden Representations in Transfer Learning for Medical Imaging.

Dovile Juodelyte, Amelia Jiménez-Sánchez, Veronika Cheplygina

Trans. Mach. Learn. Res., 2023

Augmenting Chest X-ray Datasets with Non-Expert Annotations.

Cathrine Damgaard, Trine Naja Eriksen, Dovile Juodelyte, Veronika Cheplygina, Amelia Jiménez-Sánchez

CoRR, 2023

Detecting Shortcuts in Medical Images - A Case Study in Chest X-Rays.

Amelia Jiménez-Sánchez, Dovile Juodelyte, Bethany Chamberlain, Veronika Cheplygina

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022

Predicting Bearings Degradation Stages for Predictive Maintenance in the Pharmaceutical Industry.

Dovile Juodelyte, Veronika Cheplygina, Therese Graversen, Philippe Bonnet

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022