Dovile Juodelyte

According to our database, Dovile Juodelyte authored at least 12 papers between 2022 and 2025.

Collaborative distances:

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

2025

Learning to Harmonize Cross-Vendor X-ray Images by Non-linear Image Dynamics Correction.

Yucheng Lu, Shunxin Wang, Dovile Juodelyte, Veronika Cheplygina

Proceedings of the Medical Image Understanding and Analysis - 29th Annual Conference, 2025

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

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

Proceedings of the Medical Image Understanding and Analysis - 29th Annual Conference, 2025

In the Picture: Medical Imaging Datasets, Artifacts, and their Living Review.

Amelia Jiménez-Sánchez, Natalia Rozalia Avlona, Sarah de Boer, Víctor M. Campello, Aasa Feragen, Enzo Ferrante, Melanie Ganz, Judy Wawira Gichoya, Camila González, Steff Groefsema, Alessa Hering, Adam Hulman, Leo Joskowicz, Dovile Juodelyte, Melih Kandemir, Thijs Kooi, Jorge del Pozo Lérida, Livie Yumeng Li, Andre Pacheco, Tim Rädsch, Mauricio Reyes, Théo Sourget, Bram van Ginneken, David Wen, Nina Weng, Jack Junchi Xu, Hubert Dariusz Zajac, Maria A. Zuluaga, Veronika Cheplygina

Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency, 2025

2024

On dataset transferability in medical image classification.

Dovile Juodelyte, Enzo Ferrante, Yucheng Lu, Prabhant Singh, Joaquin Vanschoren, Veronika Cheplygina

CoRR, 2024

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

Yucheng Lu, Dovile Juodelyte, Jonathan D. Victor, 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

Copycats: the many lives of a publicly available medical imaging dataset.

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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 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

Proceedings of the Medical Imaging with Deep Learning, 3-5 July 2024, Paris, France., 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

Proceedings of the Applications of Medical Artificial Intelligence, 2024

2023

Revisiting Hidden Representations in Transfer Learning for Medical Imaging.

Dovile Juodelyte, Amelia Jiménez-Sánchez, Veronika Cheplygina

Trans. Mach. Learn. Res., 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