Predicting Bearings Degradation Stages for Predictive Maintenance in the Pharmaceutical Industry. - Dovile Juodelyte; Veronika Cheplygina; Therese Graversen; Philippe Bonnet (KDD, 2022)

Detecting Shortcuts in Medical Images - A Case Study in Chest X-Rays. - Amelia Jiménez-Sánchez; Dovile Juodelyte; Bethany Chamberlain; Veronika Cheplygina (ISBI, 2023)

Revisiting Hidden Representations in Transfer Learning for Medical Imaging. - Dovile Juodelyte; Amelia Jiménez-Sánchez; Veronika Cheplygina (Trans. Mach. Learn. Res., 2023)

Source Matters: Source Dataset Impact on Model Robustness in Medical Imaging. - Dovile Juodelyte; Yucheng Lu; Amelia Jiménez-Sánchez; Sabrina Bottazzi; Enzo Ferrante; Veronika Cheplygina (AMAI@MICCAI, 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 (MIDL, 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 (NeurIPS, 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)

Exploring connections of spectral analysis and transfer learning in medical imaging. - Yucheng Lu; Dovile Juodelyte; Jonathan D. Victor; Veronika Cheplygina (CoRR, 2024)

On dataset transferability in medical image classification. - Dovile Juodelyte; Enzo Ferrante; Yucheng Lu; Prabhant Singh; Joaquin Vanschoren; Veronika Cheplygina (CoRR, 2024)

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; et al. (FAccT, 2025)

Augmenting Chest X-ray Datasets with Non-Expert Annotations. - Veronika Cheplygina; Cathrine Damgaard; Trine Naja Eriksen; Dovile Juodelyte; Amelia Jiménez-Sánchez (MIUA (1), 2025)

Learning to Harmonize Cross-Vendor X-ray Images by Non-linear Image Dynamics Correction. - Yucheng Lu; Shunxin Wang; Dovile Juodelyte; Veronika Cheplygina (MIUA (2), 2025)