3 papers
cs.AI2026
A Contrastive Variational AutoEncoder for NSCLC Survival Prediction with Missing Modalities
Michele Zanitti, Vanja Miskovic, Francesco Trovò +5
Predicting survival outcomes for non-small cell lung cancer (NSCLC) patients is challenging due to the different individual prognostic features. This task can benefit from the inte…
cs.LG2026
Metric Hub: A metric library and practical selection workflow for use-case-driven data quality assessment in medical AI
Katinka Becker, Maximilian P. Oppelt, Tobias S. Zech +19
Machine learning (ML) in medicine has transitioned from research to concrete applications aimed at supporting several medical purposes like therapy selection, monitoring and treatm…
cs.LG2025
Automatic Cough Analysis for Non-Small Cell Lung Cancer Detection
Chiara Giangregorio, Cristina Maria Licciardello, Vanja Miskovic +7
Early detection of non-small cell lung cancer (NSCLC) is critical for improving patient outcomes, and novel approaches are needed to facilitate early diagnosis. In this study, we e…