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Yun Liu

4 papers hereh-index 4388 citations6 works total

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

author position
  • middle author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • eess.IV2
  • cs.CY1
  • cs.HC1
same name
  • Yun Liu — 37 papers, h 32
  • Yun Liu — 25 papers, h 43
  • Yun Liu — 15 papers, h 10
  • Yun Liu — 14 papers, h 51
  • Yun Liu — 11 papers, h 5
  • Yun Liu — 10 papers, h 4

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedTowards Accurate Differential Diagnosis with Large Language Models

63 citations · 125 across the 4 of their papers we have counts for

collaborators

4 papers

cs.HC2024★ 1 cited

MINT: A wrapper to make multi-modal and multi-image AI models interactive

Jan Freyberg, Abhijit Guha Roy, Terry Spitz +10

During the diagnostic process, doctors incorporate multimodal information including imaging and the medical history - and similarly medical AI development has increasingly become m…

cs.CY2023★ 63 cited

Towards Accurate Differential Diagnosis with Large Language Models

Daniel McDuff, Mike Schaekermann, Tao Tu +25

An accurate differential diagnosis (DDx) is a cornerstone of medical care, often reached through an iterative process of interpretation that combines clinical history, physical exa…

eess.IV2023★ 4 cited

Domain-specific optimization and diverse evaluation of self-supervised models for histopathology

Jeremy Lai, Faruk Ahmed, Supriya Vijay +13

Task-specific deep learning models in histopathology offer promising opportunities for improving diagnosis, clinical research, and precision medicine. However, development of such…

eess.IV2023★ 57 cited

Using generative AI to investigate medical imagery models and datasets

Oran Lang, Doron Yaya-Stupp, Ilana Traynis +13

AI models have shown promise in many medical imaging tasks. However, our ability to explain what signals these models have learned is severely lacking. Explanations are needed in o…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.