activity
20242026
collaborators

7 papers

cs.LG2026

CPAgents: Agentic Composite Phenotype Generation for Cardiac Disease Association

Zuoou Li, Wenlong Zhao, Kelly Yu +5

Identifying robust associations between cardiac imaging phenotypes and clinical diseases is fundamental to population-scale cardiovascular research and reliable risk stratification…

cs.CV2025

Towards Effective MLLM Jailbreaking Through Balanced On-Topicness and OOD-Intensity

Zuoou Li, Weitong Zhang, Jingyuan Wang +4

Multimodal large language models (MLLMs) are widely used in vision-language reasoning tasks. However, their vulnerability to adversarial prompts remains a serious concern, as safet…

eess.IV2025

Topology Optimization in Medical Image Segmentation with Fast Euler Characteristic

Liu Li, Qiang Ma, Cheng Ouyang +3

Deep learning-based medical image segmentation techniques have shown promising results when evaluated based on conventional metrics such as the Dice score or Intersection-over-Unio…

cs.AI2025

Multi-Agent Reasoning for Cardiovascular Imaging Phenotype Analysis

Weitong Zhang, Mengyun Qiao, Chengqi Zang +4

Identifying associations between imaging phenotypes, disease risk factors, and clinical outcomes is essential for understanding disease mechanisms. However, traditional approaches…

cs.AI2024

Truth or Deceit? A Bayesian Decoding Game Enhances Consistency and Reliability

Weitong Zhang, Chengqi Zang, Bernhard Kainz

Large Language Models (LLMs) often produce outputs that -- though plausible -- can lack consistency and reliability, particularly in ambiguous or complex scenarios. Challenges aris…

eess.IV2024

Universal Topology Refinement for Medical Image Segmentation with Polynomial Feature Synthesis

Liu Li, Hanchun Wang, Matthew Baugh +5

Although existing medical image segmentation methods provide impressive pixel-wise accuracy, they often neglect topological correctness, making their segmentations unusable for man…

cs.CV2024

Data-Efficient Generation for Dataset Distillation

Zhe Li, Weitong Zhang, Sarah Cechnicka +1

While deep learning techniques have proven successful in image-related tasks, the exponentially increased data storage and computation costs become a significant challenge. Dataset…