Publications

• Deep Learning-Based Screening for POLE mutations on Histopathology Slides in Endometrial Cancer, Nikki van den Berg et al., medRxiv 2026.02.06.26345335; https://doi.org/10.64898/2026.02.06.26345335
• Prediction of recurrence risk in endometrial cancer with multimodal deep learning. Volinsky-Fremond, et al., Nat Med 30, 1962–1973 (2024). https://doi.org/10.1038/s41591-024-02993-w
• Interpretable deep learning model to predict the molecular classification of endometrial cancer from haematoxylin and eosin-stained whole-slide images: a combined analysis of the PORTEC randomised trials and clinical cohorts, Fremond, Sarah et al. The Lancet Digital Health, Volume 5, Issue 2, e71 - e82 https://doi.org/10.1016/S2589-7500%2822%2900210-2