5 papers
EliSeg: Verified Target Construction for Report-Grounded Abnormality Segmentation
Chengyi Peng, Haoyu Yang, Meixing Shi +2
Radiology reports describe clinical observations but do not specify executable segmentation targets. They may contain present, negated, prior,uncertain, or irrelevant findings, whi…
MedPixel: A Unified Pixel-Language Model for Medical Reasoning and Segmentation
Haoyu Yang, Meixing Shi, Zengjie Chen +5
Reliable medical image understanding requires models to connect clinical language and visual reasoning with pixel-level grounding. Yet medical vision-language models often lack pre…
TK-Mamba: Marrying KAN With Mamba for Text-Driven 3D Medical Image Segmentation
Haoyu Yang, Yutong Guan, Meixing Shi +8
3D medical image segmentation is important for clinical diagnosis and treatment but faces challenges from high-dimensional data and complex spatial dependencies. Traditional single…
Genetics-Driven Personalized Disease Progression Model
Haoyu Yang, Sanjoy Dey, Pablo Meyer
Modeling disease progression through multiple stages is critical for clinical decision-making for chronic diseases, e.g., cancer, diabetes, chronic kidney diseases, and so on. Exis…
Adaptive Weighted Random Isolation (AWRI): a simple design to estimate causal effects under network interference
Changhao Shi, Haoyu Yang, Yichen Qin +1
Recently, causal inference under interference has gained increasing attention in the literature. In this paper, we focus on randomized designs for estimating the total treatment ef…