output
20182024
most citedBenchmarking large language models for biomedical natural language processing applications and recommendations

172 citations

6 papers

cs.CY2024★ 10 cited

Environment Scan of Generative AI Infrastructure for Clinical and Translational Science

Betina Idnay, Zihan Xu, William G. Adams +54

This study reports a comprehensive environmental scan of the generative AI (GenAI) infrastructure in the national network for clinical and translational science across 36 instituti…

cs.HC2024★ 30 cited

KNOWNET: Guided Health Information Seeking from LLMs via Knowledge Graph Integration

Youfu Yan, Yu Hou, Yongkang Xiao +2

The increasing reliance on Large Language Models (LLMs) for health information seeking can pose severe risks due to the potential for misinformation and the complexity of these top…

eess.IV2023

Radiomics as a measure superior to the Dice similarity coefficient for tumor segmentation performance evaluation

Yoichi Watanabe, Rukhsora Akramova

In high-quality radiotherapy delivery, precise segmentation of targets and healthy structures is essential. This study proposes Radiomics features as a superior measure for assessi…

cs.CL2023★ 172 cited

Benchmarking large language models for biomedical natural language processing applications and recommendations

Qingyu Chen, Yan Hu, Xueqing Peng +18

The rapid growth of biomedical literature poses challenges for manual knowledge curation and synthesis. Biomedical Natural Language Processing (BioNLP) automates the process. While…

cs.CV2020★ 5 cited

Robust Multi-object Matching via Iterative Reweighting of the Graph Connection Laplacian

Yunpeng Shi, Shaohan Li, Gilad Lerman

We propose an efficient and robust iterative solution to the multi-object matching problem. We first clarify serious limitations of current methods as well as the inappropriateness…

math.ST2018★ 5 cited

Likelihood Ratio Test in Multivariate Linear Regression: from Low to High Dimension

Yinqiu He, Tiefeng Jiang, Jiyang Wen +1

Multivariate linear regressions are widely used statistical tools in many applications to model the associations between multiple related responses and a set of predictors. To infe…