2 citations · 2 across the 7 of their papers we have counts for
8 papers
Large language models as synthetic clinical experts to inform longitudinal rare-disease modeling
Clemens Schächter, Astrid Pechmann, Janbernd Kirschner +2
Due to the limited amount of information, modeling longitudinal rare-disease data can benefit from integrating clinical knowledge. Yet, elicitation of expert knowledge and formaliz…
Assessing Multimodal Chronic Wound Embeddings with Expert Triplet Agreement
Fabian Kabus, Julia Hindel, Jelena Bratulić +6
Recessive dystrophic epidermolysis bullosa (RDEB) is a rare genetic skin disorder for which clinicians greatly benefit from finding similar cases using images and clinical text. Ho…
Embedding interpretable -regression into neural networks for uncovering temporal structure in cell imaging
Fabian Kabus, Maren Hackenberg, Julia Hindel +6
While artificial neural networks excel in unsupervised learning of non-sparse structure, classical statistical regression techniques offer better interpretability, in particular wh…
A statistical perspective on transformers for small longitudinal cohort data
Kiana Farhadyar, Maren Hackenberg, Kira Ahrens +10
Modeling of longitudinal cohort data typically involves complex temporal dependencies between multiple variables. There, the transformer architecture, which has been highly success…
Using latent representations to link disjoint longitudinal data for mixed-effects regression
Clemens Schächter, Maren Hackenberg, Michelle Pfaffenlehner +6
Many rare diseases offer limited established treatment options, leading patients to switch therapies when new medications emerge. To analyze the impact of such treatment switches w…
Combining propensity score methods with variational autoencoders for generating synthetic data in presence of latent sub-groups
Kiana Farhadyar, Federico Bonofiglio, Maren Hackenberg +2
In settings requiring synthetic data generation based on a clinical cohort, e.g., due to data protection regulations, heterogeneity across individuals might be a nuisance that we n…
Investigating a domain adaptation approach for integrating different measurement instruments in a longitudinal clinical registry
Maren Hackenberg, Michelle Pfaffenlehner, Max Behrens +3
In a longitudinal clinical registry, different measurement instruments might have been used for assessing individuals at different time points. To combine them, we investigate deep…
A statistical approach to latent dynamic modeling with differential equations
Maren Hackenberg, Astrid Pechmann, Clemens Kreutz +2
Ordinary differential equations (ODEs) can provide mechanistic models of temporally local changes of processes, where parameters are often informed by external knowledge. While ODE…