most citedAdversarial Neural Networks in Medical Imaging Advancements and Challenges in Semantic Segmentation

5 citations · 8 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2025

Structure-Aware Temporal Modeling for Chronic Disease Progression Prediction

Jiacheng Hu, Bo Zhang, Ting Xu +2

This study addresses the challenges of symptom evolution complexity and insufficient temporal dependency modeling in Parkinson's disease progression prediction. It proposes a unifi…

eess.IV2024★ 5 cited

Adversarial Neural Networks in Medical Imaging Advancements and Challenges in Semantic Segmentation

Houze Liu, Bo Zhang, Yanlin Xiang +3

Recent advancements in artificial intelligence (AI) have precipitated a paradigm shift in medical imaging, particularly revolutionizing the domain of brain imaging. This paper syst…

cs.LG2024★ 1 cited

Dynamic Hypergraph-Enhanced Prediction of Sequential Medical Visits

Wangying Yang, Zitao Zheng, Zhizhong Wu +2

This study introduces a pioneering Dynamic Hypergraph Networks (DHCE) model designed to predict future medical diagnoses from electronic health records with enhanced accuracy. The…

cs.LG2024★ 2 cited

Research on Early Warning Model of Cardiovascular Disease Based on Computer Deep Learning

Yuxiang Hu, Jinxin Hu, Ting Xu +3

This project intends to study a cardiovascular disease risk early warning model based on one-dimensional convolutional neural networks. First, the missing values of 13 physiologica…

eess.IV2024

Enhancing Medical Imaging with GANs Synthesizing Realistic Images from Limited Data

Yinqiu Feng, Bo Zhang, Lingxi Xiao +3

In this research, we introduce an innovative method for synthesizing medical images using generative adversarial networks (GANs). Our proposed GANs method demonstrates the capabili…