4 papers
Eliciting associations between clinical variables from LLMs via comparison questions across populations
Fabian Kabus, Kian Kordtomeikel, Thomas Brox +3
The training data of large language models (LLMs) comprises a wide range of biomedical literature, reflecting data from many different patient populations. We investigate how it mi…
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…
Small Data Explainer -- The impact of small data methods in everyday life
Maren Hackenberg, Sophia G. Connor, Fabian Kabus +11
The emergence of breakthrough artificial intelligence (AI) techniques has led to a renewed focus on how small data settings, i.e., settings with limited information, can benefit fr…