Konstantinos Vilouras

According to our database, Konstantinos Vilouras authored at least 7 papers between 2023 and 2026.

Collaborative distances:

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

2026

A Causal Framework for Mitigating Data Shifts in Healthcare.

Kurt Butler, Stephanie Riley, Damian Machlanski, Edward Moroshko, Panagiotis Dimitrakopoulos, Thomas Melistas, Akchunya Chanchal, Konstantinos Vilouras, Zhihua Liu, Steven McDonagh, Hana Chockler, Ben Glocker, Niccoló Tempini, Matthew Sperrin, Sotirios A. Tsaftaris, Ricardo Silva

CoRR, March, 2026

CSEval: A Framework for Evaluating Clinical Semantics in Text-to-Image Generation.

Robert Cronshaw, Konstantinos Vilouras, Junyu Yan, Yuning Du, Feng Chen, Steven McDonagh, Sotirios A. Tsaftaris

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

2025

Zero-Shot Medical Phrase Grounding With Off-the-Shelf Diffusion Models.

Konstantinos Vilouras, Pedro Sanchez, Alison Q. O'Neil, Sotirios A. Tsaftaris

IEEE J. Biomed. Health Informatics, December, 2025

SWiFT: Soft-Mask Weight Fine-tuning for Bias Mitigation.

Junyu Yan, Feng Chen, Yuyang Xue, Yuning Du, Konstantinos Vilouras, Sotirios A. Tsaftaris, Steven McDonagh

CoRR, August, 2025

Anatomy-Grounded Weakly Supervised Prompt Tuning for Chest X-ray Latent Diffusion Models.

Konstantinos Vilouras, Ilias Stogiannidis, Junyu Yan, Alison Q. O'Neil, Sotirios A. Tsaftaris

CoRR, June, 2025

2023

A Causal Ordering Prior for Unsupervised Representation Learning.

Avinash Kori, Pedro Sanchez, Konstantinos Vilouras, Ben Glocker, Sotirios A. Tsaftaris

CoRR, 2023

Group Distributionally Robust Knowledge Distillation.

Konstantinos Vilouras, Xiao Liu, Pedro Sanchez, Alison Q. O'Neil, Sotirios A. Tsaftaris

Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023