8 citations · 8 across the 2 of their papers we have counts for
2 papers
cs.LG2025
Unsupervised risk factor identification across cancer types and data modalities via explainable artificial intelligence
Maximilian Ferle, Jonas Ader, Thomas Wiemers +7
Risk stratification is a key tool in clinical decision-making, yet current approaches often fail to translate sophisticated survival analysis into actionable clinical criteria. We…
stat.AP2024★ 8 cited
Predicting Progression Events in Multiple Myeloma from Routine Blood Work
Maximilian Ferle, Nora Grieb, Markus Kreuz +5
The ability to accurately predict disease progression is paramount for optimizing multiple myeloma patient care. This study introduces a hybrid neural network architecture, combini…