OpenAlex · Aktualisierung stündlich · Letzte Aktualisierung: 16.05.2026, 10:08

National University of Defense Technology

85.794 Arbeiten3.051.289 Zitationen
Land: CNTyp: education

Relevante Arbeiten

Meistzitierte Publikationen im Bereich Gesundheit & MedTech

A Review of the Application of Multi-modal Deep Learning in Medicine: Bibliometrics and Future Directions

Xiangdong Pei, Ke Zuo, Yuan Li et al.

2023 · 70 Zit.

SS-TBN: A Semi-Supervised Tri-Branch Network for COVID-19 Screening and Lesion Segmentation

Ling‐Li Zeng, Kai Gao, Dewen Hu et al.

2023 · 48 Zit.

Opportunities and challenges in the application of large artificial intelligence models in radiology

Liangrui Pan, Zhenyu Zhao, Ying Lü et al.

2024 · 14 Zit.

Improving Mortality Risk Prediction with Routine Clinical Data: A Practical Machine Learning Model Based on eICU Patients

Shangping Zhao, Guanxiu Tang, Pan Liu et al.

2023 · 10 Zit.

PerHeFed: A general framework of personalized federated learning for heterogeneous convolutional neural networks

Le Ma, Yuying Liao, Bin Zhou et al.

2022 · 8 Zit.

Large Language Models in Healthcare: A Review

Shun Zou, Jun He

2023 · 7 Zit.

Knowledge Base Question Answering via Semantic Analysis

Yibo Liu, Haisu Zhang, Teng Zong et al.

2023 · 6 Zit.

The application of Artificial Intelligence in Psychological Counseling Based on "Treat Pre-Disease"

Yizhou Li, Kesui Deng, Xiaonan Chen

2020 · 5 Zit.

pCOVID: A Privacy-Preserving COVID-19 Inference Framework

Yinqiu Wang, Yuchuan Luo, Lin Liu et al.

2023 · 4 Zit.

MCG-Net: Medical Chief Complaint-guided Multi-modal Masked Content Pre-training for chest image classification

Le Zou, Jun Li, Hao Chen et al.

2025 · 4 Zit.

Survey on Efficient Large Language Models: Principles, Algorithms, Applications, and Open Issues

Jian Cheng, Haidong Kang, Yongbo Shao et al.

2025 · 4 Zit.

Explainable person–job recommendations: challenges, approaches, and comparative analysis

Fang Tang, Renqi Zhu, Feng Yao et al.

2025 · 3 Zit.

Explainable artificial intelligence in the talent recruitment process-a literature review

Gening Zhang, Lin Pan, Fang Tang et al.

2025 · 2 Zit.

Yes is Harder than No: A Behavioral Study of Framing Effects in Large Language Models Across Downstream Tasks

Ziheng Zhang, Weixin Zeng, Jiuyang Tang et al.

2025 · 1 Zit.

AIPsychoBench: Understanding the Psychometric Differences Between LLMs and Humans

Wei Xie, Zhenhua Wang, Shuoyoucheng Ma et al.

2026 · 1 Zit.