output
20152025
most citedInteractive Volumetry Of Liver Ablation Zones

19 citations

5 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…

stat.ME2023★ 14 cited

RMST-based multiple contrast tests in general factorial designs

Merle Munko, Marc Ditzhaus, Dennis Dobler +1

Several methods in survival analysis are based on the proportional hazards assumption. However, this assumption is very restrictive and often not justifiable in practice. Therefore…

cs.LG2021★ 1 cited

Assessment of deep learning based blood pressure prediction from PPG and rPPG signals

Fabian Schrumpf, Patrick Frenzel, Christoph Aust +2

Exploiting photoplethysmography signals (PPG) for non-invasive blood pressure (BP) measurement is interesting for various reasons. First, PPG can easily be measured using fingercli…

cs.CV2015★ 19 cited

Interactive Volumetry Of Liver Ablation Zones

Jan Egger, Harald Busse, Philipp Brandmaier +13

Percutaneous radiofrequency ablation (RFA) is a minimally invasive technique that destroys cancer cells by heat. The heat results from focusing energy in the radiofrequency spectru…