4 citations · 4 across the 4 of their papers we have counts for
4 papers
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…
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…
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…
Imbalanced Domain Generalization for Robust Single Cell Classification in Hematological Cytomorphology
Rao Muhammad Umer, Armin Gruber, Sayedali Shetab Boushehri +2
Accurate morphological classification of white blood cells (WBCs) is an important step in the diagnosis of leukemia, a disease in which nonfunctional blast cells accumulate in the…