18 citations · 44 across the 5 of their papers we have counts for
5 papers
Towards Generalist Foundation Model for Radiology by Leveraging Web-scale 2D&3D Medical Data
Chaoyi Wu, Xiaoman Zhang, Ya Zhang +2
In this study, we aim to initiate the development of Radiology Foundation Model, termed as RadFM. We consider the construction of foundational models from three perspectives, namel…
PMC-CLIP: Contrastive Language-Image Pre-training using Biomedical Documents
Weixiong Lin, Ziheng Zhao, Xiaoman Zhang +4
Foundation models trained on large-scale dataset gain a recent surge in CV and NLP. In contrast, development in biomedical domain lags far behind due to data scarcity. To address t…
K-Diag: Knowledge-enhanced Disease Diagnosis in Radiographic Imaging
Chaoyi Wu, Xiaoman Zhang, Yanfeng Wang +2
In this paper, we consider the problem of disease diagnosis. Unlike the conventional learning paradigm that treats labels independently, we propose a knowledge-enhanced framework,…
Knowledge-enhanced Visual-Language Pre-training on Chest Radiology Images
Xiaoman Zhang, Chaoyi Wu, Ya Zhang +2
While multi-modal foundation models pre-trained on large-scale data have been successful in natural language understanding and vision recognition, their use in medical domains is s…
A Deep Framework for Bone Age Assessment based on Finger Joint Localization
Xiaoman Zhang, Ziyuan Zhao, Cen Chen +6
Bone age assessment is an important clinical trial to measure skeletal child maturity and diagnose of growth disorders. Conventional approaches such as the Tanner-Whitehouse (TW) a…