Runtian Yuan — accepted AI-conference papers

2025

AOR: Anatomical Ontology-Guided Reasoning for Medical Large Multimodal Model in Chest X-Ray Interpretation

Qingqiu Li, Zihang Cui, Seongsu Bae, Jilan Xu, Runtian Yuan, Yuejie Zhang +6

NeurIPS 2025poster

Chest X-rays (CXRs) are the most frequently performed imaging examinations in clinical settings. Recent advancements in Medical Large Multimodal Models (MLMMs) have enabled automated CXR interpretation, improving diagnostic accuracy and efficiency. However, despite their strong visual understanding,…

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2023

SCSGNet: Spatial-Correlated and Shape-Guided Network for Breast Mass Segmentation

Qingqiu Li, Jilan Xu, Runtian Yuan, Yuejie Zhang, Rui Feng

ICASSP 2023accepted

Automatic and accurate breast mass segmentation plays a crucial role in the early diagnosis of breast cancer. However, it has been a challenging task for two main reasons: (1) Breast masses are diverse; and (2) The boundaries of masses are ambiguous. To address these problems, we propose a Spatial-C…

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