5 papers
Assessing Multimodal Chronic Wound Embeddings with Expert Triplet Agreement
Fabian Kabus, Julia Hindel, Jelena BratuliÄ +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…
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…