Mélanie Roschewitz

According to our database, Mélanie Roschewitz authored at least 16 papers between 2023 and 2026.

Collaborative distances:

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

2026

Counterfactual Stress Testing for Image Classification Models.

Moritz Stammel, Fabio De Sousa Ribeiro, Raghav Mehta, Mélanie Roschewitz, Ben Glocker

CoRR, May, 2026

RadAgent: A tool-using AI agent for stepwise interpretation of chest computed tomography.

Mélanie Roschewitz, Kenneth Styppa, Yitian Tao, Jiwoong Sohn, Jean-Benoit Delbrouck, Benjamin Gundersen, Nicolas Deperrois, Christian Bluethgen, Julia E. Vogt, Bjoern Menze, Farhad Nooralahzadeh, Michael Krauthammer, Michael Moor

CoRR, April, 2026

Pixel-Level Counterfactual Contrastive Learning for Medical Image Segmentation.

Marceau Lafargue-Hauret, Raghav Mehta, Fabio De Sousa Ribeiro, Mélanie Roschewitz, Ben Glocker

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

2025

Where are we with calibration under dataset shift in image classification?

Mélanie Roschewitz, Raghav Mehta, Fabio De Sousa Ribeiro, Ben Glocker

Trans. Mach. Learn. Res., 2025

Robust image representations with counterfactual contrastive learning.

Mélanie Roschewitz, Fabio De Sousa Ribeiro, Tian Xia, Galvin Khara, Ben Glocker

Medical Image Anal., 2025

Exploring the Interplay of Label Bias with Subgroup Size and Separability: A Case Study in Mammographic Density Classification.

Emma A. M. Stanley, Raghav Mehta, Mélanie Roschewitz, Nils D. Forkert, Ben Glocker

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

Automatic Dataset Shift Identification to Support Safe Deployment of Medical Imaging AI.

Mélanie Roschewitz, Raghav Mehta, Charles Jones, Ben Glocker

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

CF-Seg: Counterfactuals Meet Segmentation.

Raghav Mehta, Fabio De Sousa Ribeiro, Tian Xia, Mélanie Roschewitz, Ainkaran Santhirasekaram, Dominic C. Marshall, Ben Glocker

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

Radio-Opaque Artefacts in Digital Mammography: Automatic Detection and Analysis of Downstream Effects.

Amelia Schueppert, Ben Glocker, Mélanie Roschewitz

Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

Rethinking Fair Representation Learning for Performance-Sensitive Tasks.

Charles Jones, Fabio De Sousa Ribeiro, Mélanie Roschewitz, Daniel C. Castro, Ben Glocker

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Automatic dataset shift identification to support root cause analysis of AI performance drift.

Mélanie Roschewitz, Raghav Mehta, Charles Jones, Ben Glocker

CoRR, 2024

Mitigating Attribute Amplification in Counterfactual Image Generation.

Tian Xia, Mélanie Roschewitz, Fabio De Sousa Ribeiro, Charles Jones, Ben Glocker

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Counterfactual Contrastive Learning: Robust Representations via Causal Image Synthesis.

Mélanie Roschewitz, Fabio De Sousa Ribeiro, Tian Xia, Galvin Khara, Ben Glocker

Proceedings of the Data Engineering in Medical Imaging - Second MICCAI Workshop, 2024

2023

Robust semi-supervised segmentation with timestep ensembling diffusion models.

Margherita Rosnati, Mélanie Roschewitz, Ben Glocker

Proceedings of the Machine Learning for Health, 2023

The Role of Subgroup Separability in Group-Fair Medical Image Classification.

Charles Jones, Mélanie Roschewitz, Ben Glocker

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Distance Matters For Improving Performance Estimation Under Covariate Shift.

Mélanie Roschewitz, Ben Glocker

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023