3 papers
cs.LG2026
OphthaDT: Generative Digital Twins for Forecasting Visual Acuity Trajectories in Ophthalmology
Pietro Belligoli, Nikita Makarov, Sayedali Shetab Boushehri +3
Precision medicine in ophthalmology requires accurate longitudinal predictions, but the fragmented nature of multimodal clinical data remains a barrier to forecasting. We introduce…
cs.LG2024
DomainLab: A modular Python package for domain generalization in deep learning
Xudong Sun, Carla Feistner, Alexej Gossmann +10
Poor generalization performance caused by distribution shifts in unseen domains often hinders the trustworthy deployment of deep neural networks. Many domain generalization techniq…
cs.CV2023
A Continual Learning Approach for Cross-Domain White Blood Cell Classification
Ario Sadafi, Raheleh Salehi, Armin Gruber +4
Accurate classification of white blood cells in peripheral blood is essential for diagnosing hematological diseases. Due to constantly evolving clinical settings, data sources, and…