2 citations · 2 across the 5 of their papers we have counts for
5 papers
A Signal-Language Foundation Model for Broad-Spectrum Cardiovascular Assessment from Routine Electrocardiography
Ziqing Yu, Yuhui Tao, Jiayu Huo +19
Electrocardiography (ECG) is central to cardiovascular care, but conventional AI models are often restricted to common arrhythmias and may generalize poorly across populations or c…
A Closer Look at Edema Area Segmentation in SD-OCT Images Using Adversarial Framework
Yuhui Tao, Yizhe Zhang, Qiang Chen
The development of artificial intelligence models for macular edema (ME) analy-sis always relies on expert-annotated pixel-level image datasets which are expen-sive to collect pros…
A Disease-Centric Vision-Language Foundation Model for Precision Oncology in Kidney Cancer
Yuhui Tao, Zhongwei Zhao, Zilong Wang +17
The non-invasive assessment of increasingly incidentally discovered renal masses is a critical challenge in urologic oncology, where diagnostic uncertainty frequently leads to the…
Towards Ground-truth-free Evaluation of Any Segmentation in Medical Images
Ahjol Senbi, Tianyu Huang, Fei Lyu +8
We explore the feasibility and potential of building a ground-truth-free evaluation model to assess the quality of segmentations generated by the Segment Anything Model (SAM) and i…
Test-time generative augmentation for medical image segmentation
Xiao Ma, Yuhui Tao, Zetian Zhang +7
Medical image segmentation is critical for clinical diagnosis, treatment planning, and monitoring, yet segmentation models often struggle with uncertainties stemming from occlusion…