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researcher

Dyke Ferber

9 papers hereh-index 16843 citations33 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3
  • middle author5

Across the 8 of 9 papers where every author was matched, so the position is known.

fields
  • cs.CL4
  • cs.CV2
  • cs.AI1
  • cs.CR1
  • cs.LG1

identity via Semantic Scholar / OpenAlex

activity
20232026
most citedRadioRAG: Online Retrieval-augmented Generation for Radiology Question Answering

27 citations · 93 across the 9 of their papers we have counts for

collaborators
Showing 2024 · cs.CLShow all

3 papers · 2 filters

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★ 13 cited

End-To-End Clinical Trial Matching with Large Language Models

Dyke Ferber, Lars Hilgers, Isabella C. Wiest +13

Matching cancer patients to clinical trials is essential for advancing treatment and patient care. However, the inconsistent format of medical free text documents and complex trial…

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Large language models (LLMs) often generate outdated or inaccurate information based on static training datasets.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…

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