182 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of CologneDE9 papers
- German Center for Infection ResearchDE3 papers
- Heidelberg UniversityDE3 papers
- Technical University of MunichDE3 papers
- Cologne Excellence Cluster on Cellular Stress Responses in Aging Associated DiseasesDE2 papers
- Klinik und Poliklinik für Psychosomatik und PsychotherapieDE2 papers
- Medical University of ViennaAT2 papers
- National Center for Tumor DiseasesDE2 papers
- Paracelsus Medical UniversityAT2 papers
- Radboud University Medical CenterNL2 papers
- Radboud University NijmegenNL2 papers
- Technische Universität DarmstadtDE2 papers
5 papers · 1 filter
Incorporating temporal dynamics of mutations to enhance the prediction capability of antiretroviral therapy's outcome for HIV-1
Giulia Di Teodoro, Martin Pirkl, Francesca Incardona +6
Motivation: In predicting HIV therapy outcomes, a critical clinical question is whether using historical information can enhance predictive capabilities compared with current or la…
Synthesising Rare Cataract Surgery Samples with Guided Diffusion Models
Yannik Frisch, Moritz Fuchs, Antoine Sanner +7
Cataract surgery is a frequently performed procedure that demands automation and advanced assistance systems. However, gathering and annotating data for training such systems is re…
Confirmatory adaptive group sequential designs for clinical trials with multiple time-to-event outcomes in Markov models
Moritz Fabian Danzer, Andreas Faldum, Thorsten Simon +2
The analysis of multiple time-to-event outcomes in a randomised controlled clinical trial can be accomplished with exisiting methods. However, depending on the characteristics of t…
Artificial-intelligence-based molecular classification of diffuse gliomas using rapid, label-free optical imaging
Todd C. Hollon, Cheng Jiang, Asadur Chowdury +22
Molecular classification has transformed the management of brain tumors by enabling more accurate prognostication and personalized treatment. However, timely molecular diagnostic t…
Dermatologist-like explainable AI enhances trust and confidence in diagnosing melanoma
Tirtha Chanda, Katja Hauser, Sarah Hobelsberger +32
Although artificial intelligence (AI) systems have been shown to improve the accuracy of initial melanoma diagnosis, the lack of transparency in how these systems identify melanoma…