output
20192026
most citedMethodology and Real-World Applications of Dynamic Uncertain Causality Graph for Clinical Diagnosis with Explainability and Invariance

4 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions

4 papers

eess.IV2026★ 1 cited

Unsupervised Deformable Image Registration with Local-Global Attention and Image Decomposition

Zhengyong Huang, Xingwen Sun, Xuting Chang +5

Deformable image registration is a critical technology in medical image analysis, with broad applications in clinical practice such as disease diagnosis, multi-modal fusion, and su…

cs.AI2025

KidneyTalk-open: No-code Deployment of a Private Large Language Model with Medical Documentation-Enhanced Knowledge Database for Kidney Disease

Yongchao Long, Chao Yang, Gongzheng Tang +5

Privacy-preserving medical decision support for kidney disease requires localized deployment of large language models (LLMs) while maintaining clinical reasoning capabilities. Curr…

cs.AI2024★ 4 cited

Methodology and Real-World Applications of Dynamic Uncertain Causality Graph for Clinical Diagnosis with Explainability and Invariance

Zhan Zhang, Qin Zhang, Yang Jiao +18

AI-aided clinical diagnosis is desired in medical care. Existing deep learning models lack explainability and mainly focus on image analysis. The recently developed Dynamic Uncerta…

eess.IV2019★ 3 cited

Annotation-Free Cardiac Vessel Segmentation via Knowledge Transfer from Retinal Images

Fei Yu, Jie Zhao, Yanjun Gong +6

Segmenting coronary arteries is challenging, as classic unsupervised methods fail to produce satisfactory results and modern supervised learning (deep learning) requires manual ann…