output
20082025
most citedThe Future of Digital Health with Federated Learning

3.1k 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.

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Showing cs.CLShow all

4 papers · 1 filter

cs.CL2024★ 5 cited

Leveraging Professional Radiologists' Expertise to Enhance LLMs' Evaluation for Radiology Reports

Qingqing Zhu, Xiuying Chen, Qiao Jin +6

In radiology, Artificial Intelligence (AI) has significantly advanced report generation, but automatic evaluation of these AI-produced reports remains challenging. Current metrics,…

cs.CL2020★ 24 cited

Automated Coding of Under-Studied Medical Concept Domains: Linking Physical Activity Reports to the International Classification of Functioning, Disability, and Health

Denis Newman-Griffis, Eric Fosler-Lussier

Linking clinical narratives to standardized vocabularies and coding systems is a key component of unlocking the information in medical text for analysis. However, many domains of m…

cs.CL2019★ 2 cited

A self-attention based deep learning method for lesion attribute detection from CT reports

Yifan Peng, Ke Yan, Veit Sandfort +2

In radiology, radiologists not only detect lesions from the medical image, but also describe them with various attributes such as their type, location, size, shape, and intensity.…

cs.CL2017★ 129 cited

NegBio: a high-performance tool for negation and uncertainty detection in radiology reports

Yifan Peng, Xiaosong Wang, Le Lu +3

Negative and uncertain medical findings are frequent in radiology reports, but discriminating them from positive findings remains challenging for information extraction. Here, we p…