output
20102026
most citedAutomated Design of Deep Learning Methods for Biomedical Image Segmentation

9.8k citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing cs.CLShow all

4 papers · 1 filter

cs.CL2024★ 25 cited

Large Language Models-Enabled Digital Twins for Precision Medicine in Rare Gynecological Tumors

Jacqueline Lammert, Nicole Pfarr, Leonid Kuligin +16

Rare gynecological tumors (RGTs) present major clinical challenges due to their low incidence and heterogeneity. The lack of clear guidelines leads to suboptimal management and poo…

cs.CL2024★ 27 cited

RadioRAG: Online Retrieval-augmented Generation for Radiology Question Answering

Soroosh Tayebi Arasteh, Mahshad Lotfinia, Keno Bressem +7

Large language models (LLMs) often generate outdated or inaccurate information based on static training datasets. Retrieval-augmented generation (RAG) mitigates this by integrating…

cs.CL2024★ 23 cited

Superhuman performance in urology board questions by an explainable large language model enabled for context integration of the European Association of Urology guidelines: the UroBot study

Martin J. Hetz, Nicolas Carl, Sarah Haggenmüller +4

Large Language Models (LLMs) are revolutionizing medical Question-Answering (medQA) through extensive use of medical literature. However, their performance is often hampered by out…

cs.CL2024★ 10 cited

Clinical information extraction for Low-resource languages with Few-shot learning using Pre-trained language models and Prompting

Phillip Richter-Pechanski, Philipp Wiesenbach, Dominic M. Schwab +4

Automatic extraction of medical information from clinical documents poses several challenges: high costs of required clinical expertise, limited interpretability of model predictio…