Louisa Fay

According to our database, Louisa Fay authored at least 5 papers between 2023 and 2025.

Collaborative distances:

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

2025

From Detection to Mitigation: Addressing Bias in Deep Learning Models for Chest X-Ray Diagnosis.

Clemence Mottez, Louisa Fay, Maya Varma, Sophie Ostmeier, Curtis P. Langlotz

CoRR, October, 2025

MIMM-X: Disentangling Spurious Correlations for Medical Image Analysis.

Louisa Fay, Hajer Reguigui, Bin Yang, Sergios Gatidis, Thomas Küstner

Proceedings of the Fairness of AI in Medical Imaging - Third International Workshop, 2025

Structuring Radiology Reports: Challenging LLMs with Lightweight Models.

Johannes Moll, Louisa Fay, Asfandyar Azhar, Sophie Ostmeier, Sergios Gatidis, Tim C. Lueth, Curtis Langlotz, Jean-Benoit Delbrouck

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

Benchmarking Dependence Measures to Prevent Shortcut Learning in Medical Imaging.

Sarah Müller, Louisa Fay, Lisa M. Koch, Sergios Gatidis, Thomas Küstner, Philipp Berens

Proceedings of the Machine Learning in Medical Imaging - 15th International Workshop, 2024

2023

Avoiding Shortcut-Learning by Mutual Information Minimization in Deep Learning-Based Image Processing.

Louisa Fay, Erick Cobos, Bin Yang, Sergios Gatidis, Thomas Küstner

IEEE Access, 2023