19 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Leipzig UniversityDE3 papers
- Center for Scalable Data Analytics and Artificial IntelligenceDE2 papers
- Fraunhofer Institute for Cell Therapy and ImmunologyDE2 papers
- Heidelberg UniversityDE2 papers
- Memorial Sloan Kettering Cancer CenterUS2 papers
- National Center for Tumor DiseasesDE2 papers
- University Hospital HeidelbergDE2 papers
- Aalto UniversityFI1 paper
- BioTechMed-GrazAT1 paper
- Graz University of TechnologyAT1 paper
- Imperial College LondonGB1 paper
- KatharinenhospitalDE1 paper
5 papers
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…
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…
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…
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…
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…